Browse 1305 live data analyst jobs across South Africa. Salary guide, top employers and free apply links. Updated regularly.

Req ID\#: 418433
Cape Town, South Africa, ZA, Cape Town,
Job Description:
**About Foundever™**

  



Foundever™ is a global leader in the customer experience (CX) industry. With more than 170,000 associates worldwide, we partner with over 750 leading and digital\-first brands to deliver exceptional customer experiences. Through a combination of human expertise, operational excellence, and innovative technology, Foundever creates meaningful customer interactions that drive business performance.



The Risk Analyst is responsible for driving compliance , risk monitoring, and assurance activities for both the US and UK markets.. The role ensures adherence to internal policies, client requirements, regulatory obligations, and industry standards while proactively identifying and mitigating operational, compliance, and business risks.



As part of the role, you collaborate with departments across various business area to promote a strong culture of compliance, accountability, data protection, and risk assurance across the organisation.

  


**Key Accountabilities**
========================

  


* Maintain compliance monitoring, risk controls, and governance processes aligned to company and client requirements.
* Conduct regular compliance audits, operational reviews, and risk assessments across business functions.
* Monitor adherence to regulatory requirements, client standards, internal policies, and operational procedures.
* Identify, assess, and escalate operational, security, privacy and compliance risks with appropriate mitigation plans.
* Analyze and identify compliance trends, audit findings and operational risks to provide actionable recommendations to leadership teams.
* Conduct investigations relating to security, privacy \& compliance incidents, policy violations, , and operational risks.
* Ensure compliance with data privacy, confidentiality, information security, and health and safety standards.
* Prepare and deliver compliance reports, dashboards, and risk summaries to internal leadership and clients.
* Run regular compliance awareness campaigns, refresher training, and compliance initiatives.
* Support internal, external \& client audits, certifications, and business continuity exercises.
* Maintain accurate documentation, audit trails, and reporting records in line with defined governance standards.
* Drive continuous initiative strengthen compliance controls, operational processes, and risk mitigation practices.
* Support new business implementations and operational changes by conducting compliance and risk impact assessments.

  


**Required Experience and Qualifications**
==========================================


* Minimum 2\-4 years’ experience in Risk Assurance, Risk \& Compliance, Audit, Governance within the BPO contact centre, financial services, or regulated environment.
* Strong understanding of operational risk management, compliance frameworks, governance principles, and audit processes.
* Experience working with data protection, information security, and regulatory compliance standards advantageous.
* Strong analytical, investigative, and problem\-solving capabilities.
* Ability to interpret policies, procedures, and regulatory requirements and translate them into operational controls.
* Excellent reporting, documentation, and presentation skills.
* Diploma or Certificate in Risk Management, Compliance, Law, Business Management, Internal Audit, or related field preferred.
* Relevant certifications in ISO 31000:2018, ISO 27001:2022, ISO 37301:2021 or Compliance, Audit, Governance, Information Security\-related advantageous.

  


**Additional Requirements**


* Advanced English communication skills – mandatory.
* Availability to work on\-site in Cape Town as required.
* Flexibility to support operational and client requirements where necessary.
* Strong stakeholder management and influencing capability across multiple business functions.
* High attention to detail with strong organizational and time management skills.
* Ability to manage sensitive and confidential information professionally and ethically.
* Experience with compliance monitoring tools, reporting systems, and
* Strong Microsoft Office skills

**Leadership Profile**
======================


* Ethical and accountable leader with strong professional integrity and sound judgment.
* Detail\-oriented and analytical with the ability to identify risks proactively and implement practical solutions.
* Strong communicator capable of influencing operational teams and leadership stakeholders.
* Resilient and confident in managing complex operational environments and sensitive investigations.
* Collaborative leader who promotes a culture of compliance, accountability, and continuous improvement.
* Commercially aware with an understanding of operational risk within customer experience and contact centre environments.

  


**Work Environment**
====================



The role operates within a fast\-paced, highly commercial 24/7 BPO environment supporting UK and US time zones. It requires executive flexibility, regular presence across delivery locations, and availability during critical client, performance, launch and escalation periods.

Risk Analyst

Are you a detail\-oriented Data Analyst with a passion for transforming complex financial data into meaningful business insights? We are seeking an experienced Data Analyst to join a leading financial analytics organisation and play a key role in driving data\-informed decision\-making across the business.
 



 This is an exciting opportunity for a data professional with a strong finance background who enjoys working with large datasets, identifying trends and anomalies, and delivering impactful reporting solutions.
 



  





**Key Responsibilities** 




**Data Collection \& Management** 



* Collect, cleanse, validate, and organise data from multiple sources, ensuring accuracy and integrity.
* Maintain and enhance databases, data warehouses, and data systems.
* Ensure data governance and quality standards are consistently met.



  





**Data Analysis** 



* Analyse large and complex financial datasets to identify trends, patterns, anomalies, and opportunities.
* Perform detailed financial and operational data analysis to support strategic business decisions.
* Develop actionable insights and recommendations based on data findings.



  





**Reporting \& Visualisation** 



* Design, develop, and maintain dashboards, reports, and visualisations for business stakeholders.
* Present findings in a clear and meaningful manner to both technical and non\-technical audiences.
* Support ongoing reporting requirements and business performance monitoring.



**Collaboration** 



* Partner closely with finance and business teams to understand reporting and analytical requirements.
* Work alongside technology teams to implement data\-driven solutions and improvements.
* Contribute to cross\-functional projects and initiatives.



  





**Continuous Improvement** 



* Identify opportunities to improve reporting processes, data quality, and operational efficiency.
* Stay informed about emerging technologies, tools, and best practices in analytics and business intelligence.



  





**Required Qualifications \& Experience** 




**Education** 



* Bachelor's Degree in Data Science, Statistics, Finance, Economics, Computer Science, Information Systems, or a related field.
* Relevant certifications in Data Analytics, Business Intelligence, or Finance will be advantageous.



  





**Experience** 



* Ideally 1 years of experience in a Data Analyst role within the financial services, banking, investment, insurance, or related finance sectors.
* Proven experience working with large datasets and financial reporting environments.



  





**Required Technical Skills** 



* Strong SQL skills for querying, analysing, and managing data.
* Proficiency in Python and/or R for data analysis and automation.
* Advanced Microsoft Excel skills.
* Experience with Power BI, Tableau, or similar data visualisation platforms.
* Strong experience with
 **Microsoft Fabric** 
 including data engineering, data integration, reporting, and analytics capabilities.
* Familiarity with financial databases, data warehouses, and cloud\-based data platforms.



  





**Key Competencies** 



* Strong analytical and critical thinking abilities.
* Excellent attention to detail and accuracy.
* Ability to interpret complex data and translate findings into business insights.
* Strong verbal and written communication skills.



  





  





 If you're ready to take the next step in your career and work with a forward\-thinking team, apply today!
 



  





  





 https://www.networkrecruitmentinternational.com/
 



  





  





 Danielle Paxton
 



 dpaxton@networkrecruitment.co.za

Data Analyst

Are you a detail\-oriented individual with a passion for research and a good understanding of national and local geography? This freelance opportunity allows you to work at your own pace and from the comfort of your own home.
 



  





**A Day in the Life of an Online Data Analyst:** 



* In this role, you will be working on a project aimed at enhancing the content and quality of digital maps that are used by millions of people worldwide
* Completing research and evaluation tasks in a web\-based environment such as verifying and comparing data, and determining the relevance and accuracy of information.



  





 Join us today and be part of a dynamic and innovative team that is making a difference in the world!
 



  





**TELUS Digital AI Community** 




 Our global AI Community is a vibrant network of 1 million\+ contributors from diverse backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands.
 



  





*Qualification path* 




  





 No previous professional experience is required to apply to this role, however, working on this project will require you to pass the basic requirements and go through a standard assessment process. This is a part\-time long\-term project and your work will be subject to our standard quality assurance checks during the term of this agreement.
 



  





**Basic Requirements** 



* Full Professional Proficiency in the
 **English** 
 language
* Being a resident in
 **South Africa** 
 for the last
 **5 consecutive years** 
 and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in
 **South Africa**
* Ability to follow guidelines and conduct online research using search engines, online maps, and website information
* Flexibility to work across a diverse set of task types, including maps, news, audio tasks, and relevance
* Daily access to a broadband internet connection, computer, and relevant software



  





**Assessment** 




 In order to be hired into the program, you’ll take an open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience.
 



  





**Service Rates** 




 Compensation is based on tasks completed and project availability. Estimated earnings may vary depending on task volume and program requirements including, quality, and productivity, in accordance with the program's quality standards and guidelines.
 



  





**Independent Contractor Relationship** 




 This opportunity is offered on an independent contractor basis. Contributors have the flexibility to choose when and how much they work, subject to project availability and quality requirements. This opportunity is not and should not be construed as creating an employment relationship with TELUS Digital.

Online Data Analyst - South Africa

**Required skills**

* Customer


CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients.

 **Why us?**


CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry\-leading SaaS solutions are trusted by the world’s top financial institutions globally.


In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We’re a fast\-paced, high\-performing team that thrives on pushing boundaries—continuously evolving our products, services, and operations. At CUBE, we don’t just keep up we stay ahead.


We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our “make it happen” culture empowers you to take ownership of your career and accelerate your personal and professional development from day one.


With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success.


We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting\-edge technology. At CUBE, You will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance.

**Role Mission:**


The Data Analyst role within the Customer Data Operations team is pivotal in driving the value and effectiveness of the CUBE Platform. This role involves leveraging advanced analytical skills to connect and optimise customer risk and control data within the CUBE Network. The position also focuses on improving data processes and ensuring that CUBE’s Network data reflects a consensus view of customers' risk and control data with the highest standards of quality and consistency.

**Key Responsibilities**

* Support Subject Matter Experts (SMEs) in the process of connecting customer data to the CUBE Network using advanced data matching protocols, tools, and Python\-based solutions.
* Collaborate with subject matter experts to deliver high\-quality, accurate data insights for customers while continuously improving your own expertise in risk and control frameworks.
* Work closely with the Product and Engineering teams to design and implement improved data processing workflows and tools, leveraging Python for automation and analysis.
* Assist in defining and refining CUBE’s consensus\-based risk and control indices and business rules to maintain Network consistency.
* Ensure the ongoing quality, consistency, and accuracy of CUBE’s data, applying technical standards and quality control rigorously across all core content.
* In addition to the duties and responsibilities listed above, the postholder may also be reasonably expected to perform duties of a similar or related nature to those outlined in the job description, and/or to undertake ad hoc or special responsibilities, in line with all other employees of the company. However, such tasks or projects will not be expected to form a dominant part of the individual’s role.

**Skills \& Competencies**

* Data Management \& Quality: Executes data cleansing, validation, and enhancement tasks. Ensure data accuracy and consistency under supervision.
* Risk \& Governance: Understands basic data governance and control principles. Supports compliance and data integrity checks.
* Tools, Automation \& AI: Demonstrates proficiency in Python, SQL, Excel, and visualisation tools. Begins exploring AI and ML automation techniques.
* Problem\-Solving \& Innovation: Applies structured problem\-solving to resolve data issues and suggest small process enhancements.
* Communication \& Collaboration: Communicates clearly with team members and contributes accurate data outputs to shared projects.
* Operational Execution: Completes assigned data tasks efficiently and on time, following defined workflows.
* Mentoring \& Leadership: Seeks guidance from peers and shares knowledge with the team. Build confidence through learning and feedback.

**Required Experience \& Qualifications**

* Some experience in a data\-focused role.
* Proficiency in MS Office, particularly Excel.
* Familiarity with working in a fast\-paced, scale\-up environment, preferably within the FinTech or RegTech sectors.
* Self\-starter with a pragmatic and proactive approach.
* A collaborative and flexible team player who can contribute positively to the company’s culture.
* Proven self\-starter with a pragmatic and proactive approach to problem\-solving and innovation.
* Proficiency in at least one of the following data analysis tools and languages, such as Python, SQL, MS/Azure Foundry and data visualisation tools (e.g., Tableau, Power BI).

**Interested?**


If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE.


CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.


Find more English Speaking Jobs in United Kingdom on Arbeitnow

Minimum Requirements: 3 Year related degree (In a quantitative field i.e.: Data, Finance, Economics etc) Post graduate qualification (advantageous) 3-7 Years experience in data analytics A high level of mathematical ability and experience in SQL and Python Experience using Tableau Responsibilities: Conduct full lifecycle analysis to include requirements, activities and design Monitor performance and quality control plans to identify improvements Follow processes to ensure execution of relevant …

Data Analyst x 2

Adcock Ingram Holdings Limited and its Subsidiaries (“we”, “us”) is committed to protecting and respecting your privacy. Our Privacy Notice sets out the basis on which personal information collected inter alia from you, social media, recruitment agencies and our website, will be processed by us. The Privacy notice is available on our website www.adcock.co.za.



One of the conditions under the Protection of Personal Information Act 4 of 2013 (POPIA) provides that candidates have the right to be informed about the collection and use of their personal information,



In the course of your application: we may


* collect personal information that may be used to identify potential professional opportunities other than the job you have applied for but of which we think might be of interest to you.
* use your Personal Information to confirm references or background checks you have provided us.
* request your consent to participate in aptitude tests or recruitment assessments.


We also use your personal information to respond to your inquiries, to verify your information and to share information with you.



Your personal information will be securely stored by the Human Capital Department, and it will be retained for a period of up to 12 months as of the closure of the application procedure if your application is unsuccessful, and in case of a successful application and you are hired, your data will be transferred to your personal employee file.



By applying for this position, you consent to us processing your personal information.



We reserve the right to make an appointment. If you have not heard from us within 30 (thirty) days of the closing date, please accept that your application was unsuccessful. Correspondence will be entered into only with shortlisted candidates.



JOB PURPOSE:Assist in gathering, analyzing, and interpreting data to support business decision\-making.

  



MAIN TASKS / RESPONSIBILITIES:· Development of project, product and system specifications  

* Requirement gathering and documentation
* Assist in implementing systems and enhancements to optimize processes.
* Work closely with various teams to develop the necessary tools and models to drive key actions.
* Reviewing processes and data \& creating informative, actionable and repeatable reports and dashboards that highlight relevant business trends and opportunities for improvement.
* Interpret, evaluate and interrelate research data and develop integrated business analysis and projections for incorporation into strategic decision\-making.
  



SPECIAL KNOWLEDGE, SKILLS AND DUTIES:**Special Knowledge**


* Business analysis principles, methodologies, and best practices.
* Requirements elicitation, documentation, and management techniques.
* Process mapping, process improvement, and business process re\-engineering.
* Data analysis, data modelling, and business intelligence concepts.
* Systems development lifecycle (SDLC) and project management methodologies.
* Reporting, dashboard development, and data visualization practices.
* Strategic planning, forecasting, and decision\-support analysis.
* Governance, risk, compliance, and data management principles.


**Skills**


* Strong analytical and problem\-solving skills.
* Ability to gather, interpret, and document business requirements.
* Advanced data analysis and reporting skills.
* Excellent verbal and written communication skills.
* Stakeholder engagement and relationship management.
* Facilitation and workshop management skills.
* Ability to translate business needs into functional specifications.
* Project coordination and change management skills.
* Strong attention to detail and accuracy.
* Critical thinking and decision\-making capabilities.
* Advanced Microsoft Excel, Power BI, SQL, and reporting tools proficiency.
* Presentation and business writing skills.


**Duties**


* Develop project, product, and system specifications based on business requirements.
* Gather, analyse, document, and validate business and system requirements.
* Collaborate with business units and technical teams to design and implement system enhancements.
* Review business processes and recommend improvement initiatives.
* Develop and maintain reports, dashboards, and data visualisations to support business decision\-making.
* Analyse business data, identify trends, risks, and opportunities, and provide actionable insights.
* Conduct research and evaluate information to support strategic planning and business initiatives.
* Develop business forecasts, projections, and performance analyses.
* Facilitate stakeholder workshops, meetings, and requirements sessions.
* Monitor the effectiveness of implemented solutions and recommend further improvements.
* Ensure documentation is maintained in accordance with organisational standards and governance requirements.
* Provide analytical support to management and contribute to strategic decision\-making processes.

  

Qualifications · BEng (Industrial / Chemical), BCom (Information Systems / IT), BSc (Informatics) / Supply Chain preferred  

 Experience · At least 2 years’ overall working experience  

 Languages · Proficient in written and spoken English. Other · Computer Literacy, Communication \& Presentation skills  

* Proficient in Excel skills, and Power BI or Tableau skills.

Junior Business Analyst

**Required skills**

* Tech

**About Swap**


Swap is the infrastructure behind modern agentic commerce. The only AI\-native platform connecting backend operations with a forward\-thinking storefront experience.


Built for brands that want to sell anything \- anywhere, Swap centralises global operations, powers intelligent workflows, and unlocks margin\-protecting decisions with real\-time data and capability. Our products span cross\-border, tax, returns, demand planning, and our next\-generation agentic storefront, giving merchants full transparency and the ability to act with confidence.


At Swap, we’re building a culture that values clarity, creativity, and shared ownership as we redefine how global commerce works.


Swap is entering a new data\-driven era, and we need an Analytics Engineer to help us build for it.


You'll join our Analytics Engineering team as a key contributor with real ownership. Your models will power the whole business, from the commercial insights Sales and Finance run on to the trusted data behind our customer\-facing agentic systems. You'll help shape a modern, scalable data architecture, and you'll see your work used.


We want a hands\-on builder who wants to work in a high\-quality dbt project and help set our analytics direction. If you like fast\-moving, collaborative teams where your work counts, we'd love to hear from you.

**What you'll do**

* Scale our dbt project, shaping its architecture and CI/CD so it keeps up with company\-wide ambitions.
* Help define our data modelling strategy and maintain the core set of fast, scalable, and trusted models that everything downstream relies on, from our BI tool to our agentic systems and analytics APIs.
* Champion strong standards for data quality, PII governance, testing, and documentation, so our data stays reliable as we grow.
* Work with Sales, Finance, and Product to turn business questions into clear data requirements, and keep delivery expectations realistic.
* Help build and refine the foundational data assets in Lightdash, so stakeholders and analysts can get to answers themselves.

**What we'd like to see**

* Solid experience in a data role such as Analytics Engineering, Data Engineering, or BI Development (or equivalent academic experience).
* Hands\-on dbt experience, ideally.
* Hands\-on orchestration experience, with tools like Airflow or Dagster.
* Strong SQL and a good grasp of data modelling patterns.
* Experience with a modern cloud data warehouse, such as Snowflake or BigQuery.
* Confidence with Git and version control.
* Clear communication, and the ability to work well with technical and non\-technical colleagues.
* A detail\-oriented mindset, and a drive to keep learning and build data products people can trust.

**Diversity \& Equal Opportunities:**


We embrace diversity and equality in a serious way. We are committed to building a team with a variety of backgrounds, skills, and views. The more inclusive we are, the better our work will be. Creating a culture of equality isn't just the right thing to do; it's also the smart thing.


Find more English Speaking Jobs in United Kingdom on Arbeitnow

Analytics Engineer

**Required skills**

* Car Finance


We’re on a mission to make migration easy.


We started building Marshmallow in 2017\. Since then, we’ve grown from 3 to 700\+ people, gained unicorn status, raised \~£140M over three funding rounds, turned profitable, insured millions of drivers and lent millions in car loans.


But we’re only just getting started. Our goal is to become one of the largest financial services providers in the world. Over the next 10 years we’ll grow exponentially, not only by scaling our existing products, but also by building new ones.


To achieve our goals we need incredibly ambitious, commercially driven people who never settle for ‘good enough’. Marshmallowers are hungry for autonomy and ownership, and would rather improve than coast. Everyone raises standards and has an impact, with a focus on collective success over self\-interest.


We’ve created an environment where curious, tenacious people win and grow together. If that sounds motivating, this could be the place for you.

**London (hybrid, 3 days in office)**
=====================================


**Car Finance at Marshmallow**
==============================


Marshmallow is opening up access to credit to migrants, bringing a brand new product to market which provides newcomers to the UK with fairly priced car finance for the first time.


Our Car Finance team is building a new generation lending platform from the ground up, making it simple, transparent and accessible for people who need finance to get on the road. We work closely with dealers, brokers and customers to make sure that every application, decision and interaction is fast, fair and easy to understand.


Because we’re a small, high\-performing team, everyone has real ownership. We combine hands\-on operations with a strong focus on automation and technology. We’re designing highly automated, AI\-powered processes that let us move faster and smarter than traditional lenders.

**The Role**
------------


We're hiring a Data Scientist to sit at the heart of how we lend: who we say yes to, at what price, and how we know it's working.


Our customers are people that traditional lenders struggle to assess. Many are new to the UK, have thin or no credit files, and don't fit neatly into off\-the\-shelf bureau scores. That makes credit decisioning at Marshmallow a genuinely hard, genuinely interesting problem: we combine bureau data, Open Banking, insurance, application and behavioural data to build a view of risk that others can't, and we need to do it in a way that is fair, explainable and compliant.


This role sits between a traditional credit analyst and a data scientist. You'll build and monitor scorecards, design and test credit strategies, dig into portfolio performance to find out what's really going on, and turn large, messy datasets into insights that change how we lend. You'll own your work end\-to\-end: from framing the question and pulling the data through to modelling, presenting a recommendation and seeing it live in our decision engine.


You'll be working with a small team and a modern stack, alongside a Head of Credit who has built this function from scratch and who will give you real ownership from day one. This is not a role where you hand models over a wall and move on \- you'll see the impact of your decisions immediately.

  

**What you'll be doing**
------------------------

* Build, validate and monitor application and behavioural scorecards, using bureau, Open Banking and internal data to improve how we assess new\-to\-UK and thin\-file customers.
* Design, test and refine our credit strategy: cut\-offs, affordability rules, pricing tiers and limits, with a clear view of the trade\-off between risk, volume and margin.
* Run experiments and champion/challenge tests to prove that changes to policy and models actually work before we scale them.
* Explore new data sources and alternative signals, and build the case for using (or not using) them in decisioning.
* Support model governance: document what you build, evidence that it treats customers fairly, and help us meet our Consumer Duty, CONC and model risk obligations.
* Work with our engineers to get models and rules into production, and use AI tooling to make yourself and the team faster.

**What You'll Bring**
---------------------

**Must have**

* 2–5 years' experience in decision science or data science within consumer lending or another regulated financial services environment.
* Hands\-on experience developing or materially refining credit scorecards or risk models (logistic regression and/or gradient boosting), including the practicalities: sample design, binning, reject inference, validation and monitoring.
* Experience working with Open Banking or other alternative data in credit decisioning.
* SQL user, and comfortable working with large, imperfect datasets.
* A solid grounding in statistics and a good instinct for when a result is real and when it isn't.
* Commercial judgement: you can translate a model output into a lending decision and explain the trade\-offs to a non\-technical audience.
* Curiosity and ownership. You ask why, you dig until you find the answer, and you'd rather ship something and improve it than wait for perfection.

**Nice to have**

* Motor finance or other secured lending experience.
* Experience of working within a rapidly scaling lending environment.
* Familiarity with UK consumer credit regulation and how it shapes model design and use.
* Experience using LLMs to speed up analytical work.
* You already know some of the tooling Marshmallow uses: Snowflake, Python, Claude, Linear, Notion

**Perks of the job**
--------------------

* Bonus scheme designed to reward high performance
* Private medical insurance with Vitality, mental health support with Oliva
* Personal learning budget and 2 dedicated L\&D days a year
* Monthly flexible benefits budget to spend as you choose
* 25 days holiday plus bank holidays
* 4 weeks Work From Anywhere per year

 **We are not able to offer visa sponsorship for this position.**

  

**Our process**
---------------

* Initial call with a member from our Talent Team (30 mins)
* Past Experience interview with Hiring Manager (60 mins)
* Onsite interview consisting of:


	+ Technical interview with a couple of the team (60 mins)
	+ Culture interview (60 mins)

**Diversity of thought**


We know the best ideas come from having different perspectives in the room \- and we're committed to hiring fairly, regardless of background, identity or experience. If you see yourself in this role, we'd encourage you to apply.


Find Jobs in United Kingdom on Arbeitnow

Data Scientist (Credit) - Car Finance

Our client, a public tertiary education institution, is looking to appoint a Data Analyst. This role forms part of the Integrated Data Analytics (IDA) team, which transforms organisational data into meaningful insights that strengthen strategic, tactical and operational decisions. The division supports strategy, planning, projects and decision‑making across the organisation. The IDA Data Analyst Hub places analysts inside business environments across the institution, so that each area gets anal…

Data Analyst (CH1286)

Our client, a public tertiary education institution, is looking to appoint a Data Analyst, on a full-time 3 year fixed-term contract . This role forms part of the Integrated Data Analytics (IDA) team, which transforms organisational data into meaningful insights that strengthen strategic, tactical and operational decisions. The division supports strategy, planning, projects and decision‑making across the organisation. The IDA Data Analyst Hub places analysts inside business environments across …

Data Analyst - 3 year fixed-term contract (CH1286b)

The team exists to unlock value from data — making it accessible and meaningful to decision-makers across the organisation. The team transforms data into actionable insights that support strategic decision-making, optimise operations and drive business performance. By identifying trends, patterns and opportunities, the team enables informed, data-driven decisions and contributes directly to the organisation's strategic objective of being an insights-driven organisation. As a Data Analyst III, y…

Job Purpose The incumbent will be responsible to interpret data and turn it into information which can offer ways to improve a business, thus affecting business decisions. Required to gather information from various sources and interpret patterns and trends and deliver to end user accurately, timeously and in an understandable format. Minimum Qualification And Experience 3 year related degree (In a quantitative field i.e.: Information Technology, Data, Economics etc.) - non negotiable Post grad…

Apply by We're on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below: 1. To see what life at Capitec is all about and complete a short assessment, please click here! 2. Once you have completed the above finalize your application by clicking apply below. About the Role At Capitec, we're building a bank that puts simplicity, innovation, and data-driven decision-making at the heart of ev…

**Required skills**

* Data

**We’re on a mission to back the UK’s small businesses like no one else**
-------------------------------------------------------------------------

Small businesses are the backbone of the economy, and we’re here to help them win. We’ve built a platform that uses clever data to get them the funding they need in minutes, not weeks.


At Funding Circle, we have the restless energy of a fintech start\-up with the stability of a public company. It’s a unique mix that gives Circlers the autonomy to take ownership and the scale to make an impact that truly counts.


We’re a high\-performing team that chooses to lift each other up. We challenge, we champion, and we have each other’s backs \- because we know that when we stand together, we move faster and build better.

**The impact is real:** Last year alone, the businesses on our platform generated £7\.2bn for the UK economy **Come and join a mission that matters!**


\[Read our Impact Report] \| \[See our Trustpilot]

**The role**
------------

  

London (Hybrid) \| 2 days in the office \| Competitive Salary \+ Benefits


You’ll make a real difference for our customers and your team from day one. We believe the fastest way to grow is by doing, so we give you the ownership to run with things and see real\-time results.  

  

We are looking for a Senior Data Analyst to join the Data team, which sits under Tech and Data.
  

  

This role is a 12 month FTC joining a team of experienced analytics engineers and managers to support the increasing Analytical demands across the business. In this role, you will:

* Design, develop and maintain performant, scalable and best practice Tableau reports.
* Collaborating with business users to understand their needs with the aim to automate identified manual processes, and create documentation for Tableau reports.
* Provide training and support to Tableau users.
* Support and collaborate with 3rd party developers to ensure a successful migration from AWS Athena to Snowflake whilst representing the businesses needs.

**What we’re looking for**
--------------------------

* Deep Expertise in SQL with experience working with modern Data Warehouses (Snowflake, Redshift, BigQuery).
* Hands\-on experience with DBT, building and maintaining modular, scalable data models.
* A practical approach to problem\-solving that balances high technical standards with key business priorities
* Expert in Tableau Desktop.
* Exceptional communication and interpersonal skills, with the ability to partner smoothly across non\-technical teams using Data for story telling.
* Strong interpersonal and communication skills and the ability to work collaboratively in cross\-functional teams.
* Able to architect custom AI solutions and smart automated systems that are safe, maintainable, and aligned with our long\-term mission
* Act as a technical bridge and mentor, training “builders" across the company to move from basic AI usage to sophisticated system creation

**Skills we’d love to see:**

* Strong understanding of financial datasets or prior exposure to the banking/fintech sector.

*We’re building a place where everyone truly feels they belong. Even if your past experience doesn't align perfectly with every requirement, we'd still love to hear from you.*

**Why join us?**
----------------

We back you to build an incredible career and by joining us, you'll be part of one of **The Sunday Times Best Companies to Work For 2026**! As a flexible\-first employer, we use a "best of both" approach. We’ll see you in our London office to collaborate – with barista coffee and subsidised Just Eat lunches on us!


Our Circler Proposition focuses on five areas:

* **Flexibility:** We provide a benefit allowance you can tailor to your own life and family.
* **Health:** This includes private medical and dental, health assessments, and access to a digital GP.
* **Wealth:** We offer life assurance, share schemes, and financial coaching.
* **Development:** You get a dedicated annual learning allowance to help you level up.
* **Lifestyle:** We have electric car and cycle\-to\-work schemes, plus season ticket loans.


We also have award\-winning parental leave policies. We're here to support you through the big life moments, from fertility treatments to new additions to the family.

**Ready to join a mission that matters? We’d love to chat!**
------------------------------------------------------------


Find more English Speaking Jobs in United Kingdom on Arbeitnow

Senior Data Analyst (12 Month FTC)

**Location:** 
 Centurion, Gauteng (provisional – to be confirmed)
   

  

**Positions Available:** 
 5
   

  

**Salary:** 
 Market\-related
   

  

**Employment Type:** 
 To be confirmed
   

  

**Job Overview**
 We are seeking experienced, analytical and technically proficient
 **Data Analysts** 
 to support enterprise data analysis, business intelligence, reporting, data quality management and data\-driven decision\-making within complex organisational environments.
   

  

 The successful candidates will be responsible for collecting, extracting, transforming, analysing and interpreting large volumes of structured and semi\-structured data to identify trends, evaluate business performance and deliver meaningful insights to business and technical stakeholders.
   

  

 This role requires strong hands\-on expertise in
 **SQL, data analysis, data visualisation, business intelligence tools, statistical analysis and data quality assessment** 
 .
   

  

 The ideal candidates will have proven experience working with enterprise databases, developing analytical reports and dashboards, investigating data discrepancies, identifying business trends and translating complex datasets into clear, actionable recommendations.
   

  

 Candidates should demonstrate the ability to work independently with data from multiple systems, develop reliable reporting solutions, collaborate with data engineering and business intelligence teams, and communicate analytical findings to stakeholders at different organisational levels.
   

  

 The role also requires an understanding of data governance, information security, data privacy and enterprise data management principles.
   

  

**This is a specialist Data Analyst opportunity requiring demonstrated hands\-on technical data analysis experience. General administrative reporting, basic Excel usage or data capturing experience alone will not be sufficient.**
 Key Responsibilities
   

  

**Data Collection, Extraction and Preparation**
* Extract data from enterprise databases, applications and information systems.
* Develop and execute SQL queries to retrieve relevant business and operational data.
* Collect and consolidate data from multiple internal and external sources.
* Analyse source data structures and identify relevant datasets.
* Perform data cleansing, transformation and standardisation activities.
* Identify missing, duplicate, inconsistent or inaccurate data.
* Prepare structured datasets for reporting and analysis.
* Validate extracted data against source systems.
* Support the integration of data from different business applications.
* Maintain accurate documentation of data sources, extraction methods and transformation rules.


**Data Analysis and Interpretation**
* Analyse large and complex datasets to identify trends, patterns and relationships.
* Perform descriptive, diagnostic and exploratory data analysis.
* Investigate business performance trends and operational variances.
* Identify anomalies, outliers and unexpected data behaviour.
* Conduct comparative and historical data analysis.
* Develop analytical models to support business decision\-making.
* Interpret analytical results and explain their business implications.
* Identify opportunities for operational efficiency and performance improvement.
* Conduct root cause analysis of data\-related business issues.
* Translate analytical findings into practical recommendations.


**SQL Development and Database Analysis**
* Develop complex SQL queries for data extraction and analysis.
* Use joins, aggregations, subqueries and Common Table Expressions (CTEs).
* Apply window functions and analytical SQL techniques.
* Analyse relational database structures and relationships.
* Develop reusable queries and analytical datasets.
* Investigate data discrepancies across databases and systems.
* Support query optimisation and performance improvement.
* Work with database administrators and data engineers to resolve data issues.
* Validate data accuracy and consistency across reporting environments.
* Document SQL logic and data transformation requirements.


**Business Intelligence and Data Visualisation**
* Develop interactive dashboards and business intelligence reports.
* Translate business requirements into effective data visualisations.
* Build reports using Power BI, Tableau or equivalent enterprise BI platforms.
* Define and calculate business performance measures.
* Create dashboards to monitor operational and strategic KPIs.
* Develop drill\-down reports and interactive analytical views.
* Ensure reports are accurate, understandable and fit for purpose.
* Maintain existing dashboards and reporting solutions.
* Improve report usability, performance and consistency.
* Present data insights using appropriate visualisation techniques.


**Power BI and Reporting Development**
* Develop and maintain Power BI reports and dashboards.
* Connect Power BI to enterprise databases and approved data sources.
* Prepare and transform data using Power Query.
* Develop data models and relationships to support reporting.
* Create calculated measures and business metrics using DAX.
* Implement appropriate report filters, slicers and navigation.
* Validate Power BI calculations against source data.
* Support scheduled refreshes and reporting reliability.
* Apply appropriate report\-level and dataset security controls.
* Optimise report performance and user experience.


**Data Quality and Validation**
* Conduct data profiling and quality assessments.
* Identify data completeness, consistency, validity and accuracy issues.
* Investigate discrepancies between source systems and reporting outputs.
* Develop data validation and reconciliation procedures.
* Support the implementation of data quality rules and controls.
* Monitor recurring data quality problems.
* Collaborate with data owners and technical teams to resolve issues.
* Document data quality findings and corrective actions.
* Support data quality improvement initiatives.
* Ensure analytical outputs are based on reliable and appropriately validated information.


**Statistical Analysis and Analytical Techniques**
* Apply appropriate statistical methods to analyse business datasets.
* Conduct trend, variance and correlation analysis.
* Use descriptive statistics to summarise data.
* Support forecasting and predictive analysis where required.
* Perform segmentation and comparative analysis.
* Identify statistically meaningful patterns and anomalies.
* Evaluate analytical assumptions and limitations.
* Use Python, R or equivalent analytical tools where applicable.
* Interpret statistical findings in a business context.
* Communicate analytical conclusions clearly and accurately.


**Business Requirements And Stakeholder Engagement**
* Engage with business stakeholders to understand analytical and reporting requirements.
* Translate business questions into structured data analysis activities.
* Facilitate discussions regarding KPIs, reporting definitions and data requirements.
* Clarify business rules affecting analytical calculations.
* Present findings to operational managers and senior stakeholders.
* Explain technical analysis in clear business language.
* Collaborate with business analysts, process specialists and business intelligence teams.
* Manage competing reporting and analytical priorities.
* Support data\-driven business planning and performance reviews.
* Recommend improvements to reporting and analytical processes.


**Enterprise Data Integration and Data Warehousing**
* Work with data engineers and database specialists to understand enterprise data structures.
* Analyse data sourced from data warehouses, data marts and operational systems.
* Support data mapping and transformation requirements.
* Understand ETL and ELT processes and their impact on analytical outputs.
* Validate datasets produced by data integration pipelines.
* Identify data lineage and source\-to\-target relationships.
* Support

Pepkor Lifestyle is seeking an experienced Data Analytics professional to interpret data and transform it into actionable insights that inform business decisions. You will gather requirements, design reports, and support end users with clear, timely analyses that drive improvements across retail operations. The role emphasizes data visualization, documentation, and collaboration with stakeholders to ensure reports meet business needs and are delivered with high quality and speed. J-18808-Ljbffr

Senior Data Analyst - Drive Retail Insights & Reports

**Job Description**
**Job Description**
*Commercial Intelligence — Enterprise Division*
**Direct reports:** 
 None
   

  

**Division:** 
 Commercial Intelligence — Enterprise Division
   

  

**ROLE PURPOSE**
 The Data and Financial Analyst supports the Manager: Commercial Performance and Business Intelligence in developing and maintaining the analytical outputs that drive commercial decision\-making across the Commercial Intelligence function. The role involves working with large transactional datasets, building and maintaining dashboards, and producing financial and operational reports that give leadership real\-time visibility into channel, supplier, product and content performance and profitability, stock positions, customer and supplier activity and profitability of the Commercial function at a customer, supplier, product, etc. level. The analyst plays a critical role in ensuring that data used across the Commercial Intelligence function is accurate, timely, and presented in a format that is actionable.
   

  

**Key Responsibilities**
* Extract, clean, and analyse large transactional datasets from multiple content categories including airtime, data, bill payments, electricity, and vouchers.
* Build and maintain Power BI, Tableau, DataStudio or equivalent dashboards that provide real\-time visibility into key commercial metrics.
* Produce standard weekly, monthly, and quarterly reporting packs for the Manager: Commercial Performance and Business Intelligence and Head of Commercial Intelligence and senior stakeholders.
* Support the commercial assessment process by providing historical performance data, trend analysis, and financial modelling inputs.
* Assist in reconciling financial data between operational systems and the organisation's finance reporting environment.
* Identify data quality issues and work with technology teams to resolve upstream data problems.
* Respond to ad hoc data and analysis requests from the procurement, product, and growth management teams.


**Minimum Requirements**
* Bachelor's degree in Data Science, Information Systems, Statistics, Finance, or a related field.
* Minimum 2 years' experience in a data analysis, financial reporting, or BI role.
* Proficiency in SQL and at least one BI platform (Power BI, Tableau, or similar).
* Intermediate to advanced proficiency in Microsoft Excel.
* Experience working with large transactional datasets in a fintech, payments, or telecoms environment is advantageous.
* Strong attention to detail with good problem\-solving ability.


**CORE COMPETENCIES**
* Data extraction, transformation, and analysis
* BI dashboard development and maintenance
* Financial and operational reporting
* Data quality management
* Communication of insights to non\-technical stakeholders
* Collaborative and proactive work ethic


 Apply

Data and Financial Analyst

**Location:** 
 100% Remote (Global)
   

  

**Timezone / Hours:** 
 Flexible working hours, with a requirement for partial overlap with US business hours (PT/ET) for synchronous team collaboration and meetings.
   

  

**Engagement Type:** 
 Full\-Time Independent Contractor
   

  

**🚀
 **The Vision: Building the Operating System for Product Creation****
 Since 2013, THE/STUDIO has been building the definitive operating system for product creation. We are combining modern SaaS technology with custom manufacturing to make producing physical goods as seamless, fast, and scalable as launching software.
   

  

 We operate two core platforms:
 **Customize Now** 
 (our best\-in\-class, on\-demand manufacturing platform) and
 **Source Anything** 
 (our new SaaS product that enables customers to seamlessly work with global factories beyond our own network).
   

  

 We are a profitable, previously Silicon Valley\-backed, fully remote company, and we are not just looking to improve manufacturing, we are looking for a visionary operator to help us truly revolutionize the global supply chain.
   

  

**💻
 **The Role****
 We're not looking for a traditional data analyst. We don't need someone to sit between our systems and the business interpreting what the numbers mean. We need a builder who can take a stated requirement ("we need this tracked," "alert us when this breaks") and ship it: a dashboard, an automated pipeline, or a real\-time alert.
   

  

 A significant part of this role is exposing what’s already happening across our platforms: tracking when something enters a process, when it exits, and pinpointing where it gets stuck. This is closer to an automation and systems engineering role than classic business intelligence. You will work alongside our core engineering team and our Automation Engineer to connect, clean, and automate our entire data ecosystem.
   

  

 We would rather hire someone scrappy and technical who figures things out (researches, builds, breaks things, and fixes them) than someone with a polished analytics background who needs well\-defined problems handed to them.
   

  

****The Big Vision****
 You will own data across the entire organization. We are actively moving away from static dashboards and toward an AI\-powered data engine where team members can type in natural\-language queries, and the engine automatically fetches, processes, and analyzes the data in real time.
   

  

 Ultimately, you will build the central data heart of THE/STUDIO—a system where automated, data\-driven decisions execute seamlessly across our operations.
   

  

**🎯
 **What You’ll Do****
* Architect the AI Data Engine: Build toward our long\-term vision of an AI\-driven, natural\-language query interface and contribute to automating operational decision\-making across the business.
* Build Automated Pipelines \& Dashboards: Design self\-sustaining systems (e.g., Looker/Looker Studio or equivalent BI tools) where metrics populate automatically with zero manual pulling.
* Ship End\-to\-End Solutions Independently: Take raw requirements from managers and build working systems without needing a formal spec or data translator.
* Deploy Real\-Time Alerting: Build triggers that instantly flag process breakdowns or deviations, moving from retrospective reporting to proactive mitigation.
* Expose Process Timestamps: Surface stage\-by\-stage system events (entry/exit timestamps) across our core platforms to identify and fix operational bottlenecks.
* Engineer Workflow Automations: Build and maintain automated workflows (e.g., via n8n) linking our raw data sources directly to reporting and alerting tools.
* Solve Root\-Cause Data Issues: Fix data quality and integrity issues directly at the source.
* Leverage AI as a Default: Use modern AI tools as a core build accelerant in your day\-to\-day workflow.
* Document for Enablement: Create clear, lightweight documentation so non\-technical managers can use and navigate tools independently.


****Requirements:****
* A Builder \& Engineer Mindset: You thrive when handed an ambiguous problem, navigating it through research, experimentation, and execution.
* Technical Foundation: Hands\-on fluency with SQL and cloud data warehouses (e.g., BigQuery or equivalent). Note: This is a foundational baseline, not the entire job.
* Tooling Proficiency: Deep experience with BI dashboarding (e.g., Looker Studio) and workflow automation platforms (e.g., n8n, Make, or custom scripts).
* End\-to\-End Ownership: Proven track record of building and deploying functional tools from scratch, not just querying existing databases.
* AI\-First Workflows: Heavy daily reliance on AI tools to accelerate development, write code, and build system prototypes.
* Direct Stakeholder Communication: Comfortable talking directly to business leads to extract requirements without needing formal spec processes.


**💡
 **The Profile We’re Looking For (Our Core Pillars)****
 Our Founder/CEO defines our top performers by three distinct traits. If this describes how you operate, you will thrive here:
   

  

* Raw Intelligence \& Problem\-Solving: High processing power, business acumen, and logical reasoning. You can think on your feet, connect complex ideas, and break down ambiguous problems quickly.
* "Give a Shit" Energy (Extreme Ownership): You take 100% accountability for your domain and outcomes. You don't make excuses or blame external factors. You look inward, find solutions, and push across the finish line.
* Rapid Adaptation \& Radical Candor: You embrace blunt, constructive feedback and pivot instantly without ego. You excel in a fast\-moving environment where you need to act with urgency without waiting for hand\-holding.


**💰
 **Compensation \& Terms****
* Flexible \& Competitive: We offer competitive, outcome\-driven compensation packages tailored to the candidate's level of impact.
* Engagement Type: Full\-time, exclusive independent contractor role.


**🔎
 **Our Hiring Process****
* Submit Application: IMPORTANT! Please submit your resume/CV in English
* Initial Screen: Brief intro chat to evaluate mutual fit, communications, and expectations.
* Hiring Manager Interview: Deep dive into your hard skills, past track record, and problem\-solving approach.
* Assessment / Case Study: (If applicable for the role) Practical demonstration of your capabilities.
* Final Executive Interview: Conversation with key team members.
* Reference Checks: Verification of past performance with former leaders and CEOs.


 Note that every role is different, so the process may vary depending on the requirements of the role. Please note that due to the volume of applications we receive, we may not be able to provide feedback to all applications.
   

  

*THE/STUDIO is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive, high\-performance culture free from discrimination.*

Data and Automation Systems Builder

**Position:** 
 Quantitative Rates Researcher
 



**Type:** 
 Contract
 



**Compensation:** 
 $80 \- $150/hour
 



**Location:** 
 Remote
 



**Commitment:** 
 10\-40 hrs/week
 



  





**Role Responsibilities** 



* Review and assess AI\-generated quantitative research and trading strategy outputs focused on fixed income and rates markets.
* Identify and document methodological issues such as lookahead bias, overfitting, and unrealistic transaction cost assumptions.
* Evaluate the accuracy of backtesting frameworks, especially with respect to rates\-specific mechanics like carry/roll\-down.
* Scrutinize the statistical rigor of signal construction, factor modeling, and alpha research in the provided outputs.
* Deliver detailed written feedback on model assumptions, implementation fidelity, and research soundness.
* Collaborate asynchronously with project coordinators by clarifying findings and suggestions through clear communication.



  





**Requirements** 



* Background as a quantitative researcher, analyst, or consultant with expertise in fixed income or rates markets.
* Demonstrated experience building and backtesting systematic rates strategies at a hedge fund, asset manager, or bank.
* Advanced proficiency in Python (pandas, numpy, scipy) or R for quantitative research and data analysis.
* Strong understanding of yield curve modeling, carry/roll\-down analytics, relative value trading, and Treasury futures.
* Comfort evaluating research under real\-world trading conditions, including transaction costs and liquidity constraints.



  





**Application Process** 



* Easy Apply on LinkedIn
* Check email for next steps
* Participate in resume evaluation \& interview stage

Data Analyst | Remote

Seeking an experienced Data Analyst to analyse data, optimise business processes, and develop accurate reports and dashboards. Duties & Responsibilities Key Responsibilities Act as the company's SYSPRO Subject Matter Expert and first point of contact for system-related queries Analyse, improve, and optimise business processes within SYSPRO Support and train end-users across all departments Maintain master data integrity, including inventory, suppliers, customers, BOMs, and product information I…

**Company Overview**


Lesaka is a leading South African financial technology company. We deliver financial services to consumers (B2C) and merchants (B2B) in Southern Africa through our proprietary banking and payment technologies. We offer banking, lending and insurance products to consumers and cash management solutions, bill payment technologies, value\-added services, business funding and card acquiring solutions to formal and informal retail merchants.  

  

**Role Purpose**  

  

The Junior Data Analyst supports the Finance department by building and maintaining financial models, dashboards, and management reports that translate raw data into clear, decision\-ready insights. The role focuses on financial modelling, data visualisation, and recurring reporting cycles, working closely with senior analysts and finance business partners to ensure information used for planning, budgeting, and performance monitoring is accurate, timely, and well presented.  

This position offers a strong foundation in financial analysis and reporting, with exposure to forecasting, variance analysis, and stakeholder engagement across the finance function.  

  

**Key Responsibilities**

 **Financial Modelling \& Analysis**

* Build, update, and maintain financial models to support budgeting, forecasting, and scenario analysis.
* Assist with variance analysis, comparing actuals to budget/forecast and investigating key drivers.
* Support ad hoc financial analysis requests from senior management.
* Maintain data integrity and version control across models and supporting workbooks.

 **Reporting \& Data Visualisation**

* Design and maintain recurring management reports, dashboards, and scorecards for finance and business stakeholders.
* Build and refine visuals and dashboards using tools such as Power BI and/or Looker Studio to communicate financial performance clearly.
* Automate and streamline recurring reporting processes to improve turnaround time and accuracy.
* Ensure consistency of formatting, definitions, and data sources across reports and dashboards.

 **Data Analytics \& Technology Enablement**

* Write and optimise queries using SQL to extract and structure data from finance and operational systems.
* Support analytics and reporting automation using Excel\-based tools.
* Work with Google Cloud Console (including BigQuery) to source, query, and consolidate data for reporting.
* Partner with data and technology teams to improve data quality, structure, and accessibility for finance reporting.

 **Business Partnering \& Stakeholder Support**

* Prepare clear summaries, commentary, and presentation materials for management and governance forums.
* Respond to stakeholder queries on financial data, reports, and dashboards in a timely and professional manner.

 **Process \& Control Improvement**

* Identify opportunities to improve the efficiency, accuracy, and automation of financial reporting processes.
* Document reporting processes, data sources, and model logic to support knowledge continuity and audit readiness.
* Support the implementation of new reporting tools, templates, and process enhancements.

**Key Competencies \& Skills**

 **Technical \& Analytical Skills**

* Strong financial modelling and Excel skills, including formulas, pivot tables, and scenario/sensitivity analysis.
* Working knowledge of SQL for data extraction and manipulation.
* Proficiency in data visualisation tools such as Power BI and/or Looker Studio.
* Exposure to Python for data analysis and reporting automation is advantageous.
* Working knowledge of Google Cloud Console (including BigQuery) for accessing and querying finance data.
* Good understanding of financial statements, budgeting, and forecasting concepts.

 **Behavioural \& Professional Skills**

* Strong attention to detail and commitment to data accuracy.
* Ability to translate financial data into clear, actionable visuals and insights.
* Good communication and stakeholder engagement skills.
* Eagerness to learn, take ownership, and work both independently and as part of a team.
* Able to manage multiple reporting deadlines in a fast\-paced environment.

 **Qualifications \& Experience**

 **Minimum Requirements**

* Bachelor's degree in Finance, Accounting, Economics, Business Analytics, Data Science, or a related field.
* 0–2 years' experience in a finance, reporting, or business analysis role (graduate/junior level).
* Solid Excel skills and a basic working knowledge of SQL.

 **Advantageous**

* Exposure to Power BI, Looker Studio, or similar business intelligence tools.
* Internship or vacation work experience within a finance, banking, or fintech environment.
* Basic exposure to Python or other scripting languages for data analysis.

Junior Data Analyst - Finance

Reference: ITE008146-EVA-1 Graduate Data Analyst (0-1 Years Experience) Are you a recent graduate with a passion for data, analytics, and problem-solving? Do you enjoy uncovering patterns, identifying trends, and turning complex information into meaningful insights? A leading organisation within the financial services and analytics sector is looking for a Graduate Data Analyst to join their growing team. This is an excellent opportunity for a motivated graduate to gain hands-on experience worki…

Graduate Data Analyst

**Role Description**

The BEE Verification Analyst will be responsible for conducting Broad\-Based Black Economic Empowerment (B\-BBEE) audits, compiling verification reports, engaging with clients to collect and evaluate documentation, and ensuring compliance with relevant B\-BBEE codes and legislation. The analyst will work closely with clients to deliver high\-quality support throughout the verification process.

**Qualifications**

* Proficiency in B\-BBEE auditing, compliance reporting, and verification methodologies.
* Strong research, analysis, and documentation skills to gather and interpret necessary client data.
* Effective communication and interpersonal skills for client engagement and collaboration.
* Attention to detail, organization, and accuracy in compliance audits and documentation evaluation.
* Ability to manage multiple projects and meet deadlines in a professional setting.
* Knowledge of South African B\-BBEE legislation and regulations is essential.
* Atelast 1 year BEE Experience . Knowledge of the BEE codes
* If you have a Tertiary degree in Commerce that would be an advantage.
* Traveling to clients is a requirement.
* Salary CTC R 15 500 , once deemed competent this would increase.

Company Information :

ADVANCED EMPOWERMENT SOLUTIONS is a South African company located at Somerset Park, Durban, Umhlanga in the KwaZulu\-Natal province.

Pay: R12 500,00 \- R15 500,00 per month

Work Location: In person

BBBEE Verification Analyst

We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Requirements Proven working experience as a Data Analyst or Business Data Analyst Technical expertise regarding data models, database design development, data mining and segmentation techniques Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc) Strong analytical…

Data Analyst Jobs in South Africa - Page 5

Vacancies (page 5 of 8)