Browse live data analyst jobs in Johannesburg, Gauteng. Salaries, top employers and how to apply. Updated regularly.

**Make an impact with NTT DATA**  

Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

**Your day at NTT DATA**

  

The Office of Information Security (OIS) is responsible for implementing global security policies and standards within NTT DATA, Inc. across corporate and business areas. The OIS supports, monitors, and advises regional units, IT, delivery, and business stakeholders on information security matters across Middle East \& Africa.

  

As a Security Analyst, you will support business security and security governance activities by helping implement and maintain strong security practices, controls, documentation, risk management, compliance, and reporting across the region.

  

This role requires practical information security experience, analytical rigor, attention to detail, and clear communication with technical and non\-technical stakeholders. This role is required to monitor the organization's computer networks for security issues, install security software, and document any security issues or breaches found.  



  

The Information Security Analyst is responsible for assisting in the planning, implementation, and management of information security measures to safeguard the organization's digital assets and systems and contributes to maintaining a secure and compliant environment.

 **Key Responsibilities:**

* Work under the supervision of the BISO of Middle East \& Africa, supporting OIS strategy, priorities, and recurring operational activities.
* Perform security risk analysis for business opportunities, projects, services, products, and assets, identifying threats, gaps, compliance impacts, and mitigation actions.
* Support governance, risk management, and compliance activities, including implementation and maintenance of security policies, controls, regulatory requirements, and ISMS\-related evidence.
* Assess supplier security by supporting new vendor approval processes and reviewing security controls of existing suppliers.
* Assist with customer security questionnaires, audits, due diligence requests, internal audit activities, evidence collection, and certification initiatives such as ISO 27001 or related standards.
* Support security risk assessment, vulnerability management, remediation coordination, and reporting with Security Operations and other relevant teams.
* Support standard incident management processes by coordinating information, documentation, and follow\-up with business, IT, and security teams.
* Monitor and report security KPIs, training metrics, dashboards, risks, findings, and remediation status to improve the overall security and compliance posture.
* Provide first\-level guidance to business stakeholders on security controls, compliance obligations, mitigation plans, and corporate information security requirements.
* Maintain accurate security documentation, reports, procedures, and knowledge materials for business security, governance, compliance, audits, and operational activities.
* Collaborate with delivery, compliance, legal, data protection, managed security services, certification teams, and regional stakeholders as needed.
* Perform additional duties assigned by the BISO or CISO.

 **Knowledge and Attributes:**

* Knowledge of information security standards, frameworks, and best practices such as ISO 27001, ISO 22301, ISO 42001, and related control environments. Understanding risk analysis, control assessment, compliance monitoring, regulatory frameworks, ISMS support, supplier security, audit evidence, and vulnerability management processes.
* Experience using GenAI tools in a professional environment, including responsible use for research, documentation, analysis, workflow support, or productivity improvement.
* Analytical mindset with a focus on process optimization, continuous improvement, reliable documentation, and practical remediation support.
* Strong customer orientation and ability to understand business, security, compliance, and operational needs.
* Excellent verbal and written communication skills, with the ability to explain security concepts to non\-technical audiences.
* Solid interpersonal skills, collaboration mindset, professionalism, active listening, and ability to influence constructively.
* Team player who is flexible, proactive, self\-motivated, results\-oriented, and comfortable working independently in a dynamic enterprise environment.
* Quick learner with strong analytical and problem\-solving skills and the ability to manage challenging situations pragmatically.

 **Academic Qualifications and Certifications:**

* Bachelor’s degree in computer science, Information Technology, Cybersecurity, Information Security, or a related field.
* Security certification such as Security\+ or equivalent recognized security certification (advantageous)
* Additional professional security certifications, including cloud security certifications, such as CRISC, CISSP, CISM, CISA, or similar. (Desirable)
* Professional English proficiency (C2\) required.

 **Required experience:**

* At least 5 years of job\-related experience in information security, security governance, business security, compliance, risk management, vulnerability management, audit support, or related responsibilities.
* Knowledge of consulting, delivery, or managed services business processes.

**Workplace type****:**

Hybrid Working **About NTT DATA**  

NTT DATA is a $30\+ billion business and technology services leader, serving 75% of the Fortune


Global 100\. We are committed to accelerating client success and positively impacting society through


responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with


unmatched capabilities in enterprise\-scale AI, cloud, security, connectivity, data centers and


application services. Our consulting and industry solutions help organizations and society move


confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more


than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as


established and start\-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each


year in R\&D.

 **Equal Opportunity Employer**  

NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

 **Third parties fraudulently posing as NTT DATA recruiters**


NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an **@nttdata.com** email address. If you suspect any fraudulent activity, please *contact us*.

Information Security Analyst

ABOUT US
HyperionDev is one of the largest providers of accelerated tech education in EMEA and one of the oldest providers of 'coding bootcamps' in the world. We work with top universities such as Imperial College London, The London School of Economics, The University of Edinburgh, and Stellenbosch University to deliver structured technical courses and bootcamps that accelerate people into fulfilling tech careers. We have been recognised as one of the top education technology scaleups in the world and gained the financial backing of Meta (previously Facebook), which recognised us as the most socially impactful startup operating in Africa, where we initially started our work.


We are dedicated to closing the global tech skills gap, and we achieve this by integrating tech education with human mentorship and expert code review powered by a workforce in Southern Africa, which lowers the cost of an accessible education in technology. This model has been successful, allowing us to reach millions of learners a year from over 60 countries. We have also partnered with government bodies such as the UK's Department for Education, who provide scholarships for students to study on our bootcamps and gain employment at companies such as AstraZeneca and the United Kingdom's National Health Service (NHS).


We're backed by nearly 2000 investors, having raised the largest crowdfunding round of funding for an edtech company in history. As a primarily bootstrapped, profitable, and scale\-up tech business, join us as we play our part in making the world a more stable, safer, and fair place.

  


ABOUT THE ROLE
As our Technical Business Analyst at HyperionDev, you will help our Revenue Operations team improve the systems, data, and processes that support the student journey. You will work across commercial and technical teams to translate business needs into practical tooling improvements, reliable reporting, and actionable insights.


You will combine an analytical mindset with a hands\-on approach to technology: understanding how our tools connect, investigating data inconsistencies, defining performance metrics, and identifying opportunities to improve workflows. You should be comfortable working with numbers, questioning assumptions, and drawing well\-supported conclusions from data.


We are looking for someone who proactively suggests improvements based on performance trends, stakeholder needs, and new tools or platform features. Success in this role will be measured by the reliability of our revenue data, the usefulness of our reporting, and the improvements you deliver to our Revenue Operations tooling and processes.

  


RESPONSIBILITIES* **Revenue Operations Tooling:** Analyse, configure, and improve CRM, contact centre, reporting, and related tools to support effective revenue operations.
* **Business \& Technical Requirements:** Work with stakeholders to understand business needs and translate them into clear requirements, process flows, and specifications for system changes and integrations.
* **Data Analysis \& Interpretation:** Analyse revenue and operational data to identify trends, anomalies, and performance drivers, turning findings into practical recommendations.
* **Metrics \& Dashboards:** Define and maintain consistent performance metrics and dashboards covering areas such as lead conversion, pipeline progression, enrolments, revenue, and team productivity.
* **Data Quality \& Integrity:** Validate data across systems, investigate discrepancies, and improve data capture and reporting practices so teams can rely on the information they use.
* **Process Optimisation:** Identify bottlenecks across the student acquisition and payment journey, recommending and implementing improvements supported by data.
* **Integrations \& Automation:** Configure tools and support integrations between systems. Use AI, automation, and available platform features to reduce manual work and improve accuracy.
* **Testing \& Troubleshooting:** Investigate tooling and reporting issues, coordinate fixes, and validate that system changes meet business requirements and produce accurate results.
* **Stakeholder Reporting:** Communicate insights and recommendations clearly to leadership, commercial teams, and external partners where required.
* **Continuous Improvement:** Stay informed about Revenue Operations practices, industry trends, and emerging tools, proactively evaluating opportunities to improve our systems and performance.

  

**Requirements**  

  

REQUIREMENTS***Minimum***

* 2\+ years’ experience in technical business analysis, Revenue Operations, business intelligence, or a similar role involving systems and data.
* Bachelor’s degree in Information Systems, Business Analytics, Data Science, Statistics, Mathematics, Economics, or a related discipline.
* Experience working with CRM platforms and configuring business tools to support operational workflows.
* Experience gathering business requirements and translating them into system configurations, reporting requirements, or technical specifications.
* Strong analytical and numerical skills, with the ability to identify trends, test assumptions, and draw meaningful inferences from complex datasets.
* Experience building reports and dashboards and analysing commercial or operational performance metrics.
* Advanced Excel or Google Sheets skills.
* Experience integrating tools and working with data flows between systems, including through no\-code or low\-code solutions.
* Experience using generative AI tools to support analysis, automation, or tool integration.
* Exceptional attention to detail, with a disciplined approach to validating data and investigating inconsistencies.
* Excellent written and verbal communication skills, including the ability to explain technical concepts and analytical findings to different audiences.
* A proactive approach to identifying improvements and taking ownership of their implementation.
* Ability to work independently and collaborate effectively across commercial and technical teams.

***Preferred***

* 4\+ years’ experience in technical business analysis, Revenue Operations, or a related analytical role.
* Experience within a technology, SaaS, ecommerce, or online education environment.
* Proficiency in SQL and experience with business intelligence tools such as Power BI, Tableau, or Metabase.
* Familiarity with APIs, data warehousing concepts, and large datasets.
* Experience with sales funnels, revenue forecasting, attribution, or conversion analysis.
* Experience improving CRM workflows, contact centre tooling, or payment processes.
* Experience generating code or building automations using Claude Code or similar AI tools.
* Experience preparing reports for university partners or government contract delivery.

  

**Benefits**  

  

BENEFITS*Equity*: As a senior leadership role within the company, you may be eligible for direct ownership in the business through our stock option scheme. The company has been approached for acquisition by a number of billion\-dollar leaders in the tech education space and is backed by investors from the US, UK and South Africa, and we want you to directly share in the success of the business.

*Hybrid work*: We are a hybrid work organisation offering flexibility on your schedule. Remote working options are available for candidates not in proximity of a HyperionDev Campus.

*Learn new tech skills:* We offer our employees the opportunity to enrol part\-time in our Coding Bootcamps.

*Join the heart of tech in Africa, Europe and the US:* You'll work with the best of the best and rub shoulders with the world leaders in edtech, developer education, and developer assessments. Join one of the most ambitious and highest performing tech companies in the space, with a management team that draws their former experience from top tech companies.

*Life\-changing work:* Solve real problems that make education and tech careers accessible to those who need it mos

Technical Business Intelligence Analyst

**Description**  



  

Ria Money Transfer, a business segment of Euronet Worldwide, Inc. (NASDAQ: EEFT), delivers innovative financial services including fast, secure, and affordable global money transfers to millions of customers along with currency exchange, mobile top\-up, bill payment and check cashing services, offering a reliable omnichannel experience. With over 600,000 locations in nearly 200 countries and territories, our purpose remains to open ways for a better everyday life.  

  

We believe we can create a world in which people are empowered to build the life they dream of, no matter who they are or where they are. One customer, one family, one community at a time.  

  

**ABOUT THIS ROLE**  

The QA Analyst is responsible for ensuring the quality, reliability, and functionality of software applications through effective test planning, execution, defect management, and validation. The role involves independently conducting testing activities, identifying and investigating defects, and ensuring that software solutions meet business requirements and quality standards. The QA Analyst works closely with developers, business analysts, product owners, and operational teams throughout the software development lifecycle to support the delivery of reliable, high\-quality software solutions.  

  

**ROLES \& RESPONSIBILITIES*** Plan, prepare, and execute test cases and test scenarios based on business and system requirements.
* Perform functional, regression, smoke, integration, and user acceptance testing.
* Analyse business requirements and identify potential risks, gaps, and testing scenarios.
* Identify, investigate, document, and track software defects using appropriate defect management tools.
* Validate defect fixes and conduct retesting to ensure issues have been resolved without introducing new defects.
* Prepare and manage test data and test environments as required.
* Create, maintain, and improve test cases, test plans, and testing documentation.
* Record and communicate test results, defects, and quality concerns clearly and accurately.
* Work closely with developers, business analysts, product owners, and operational teams to resolve issues and clarify requirements.
* Participate in sprint planning, daily stand\-ups, retrospectives, and other Agile ceremonies.
* Provide input on system functionality, usability, performance, and overall quality.
* Support business users during user acceptance testing and system implementation activities.
* Monitor testing progress, identify potential risks to delivery timelines, and escalate issues where necessary.
* Contribute to the improvement of testing processes, QA standards, and overall product quality.
* Apply software testing methodologies and best practices to ensure consistent and effective testing outcomes

  

  

**POSITION REQUIREMENTS*** A relevant Certificate, Diploma, or Degree in Information Technology, Computer Science, Business Information Systems, or a related field will be advantageous.
* Previous experience in software quality assurance or software testing, preferably in a similar role.
* Experience in preparing and executing test cases, documenting defects, and validating software functionality.
* Experience working with defect tracking and test management tools, such as Jira, Azure DevOps, or similar platforms, will be advantageous.
* Exposure to reporting or data analysis tools will be advantageous.
* Knowledge of software development lifecycles and Agile methodologies.
* Basic understanding of databases and SQL will be advantageous.
* Strong computer literacy and the ability to work confidently with different software applications.
* Strong analytical, investigative, and problem\-solving skills.
* Excellent attention to detail and a methodical approach to testing.
* Good written and verbal communication skills, with the ability to document findings and engage with technical and non\-technical stakeholders.
* Ability to work independently, manage competing priorities, and take ownership of assigned testing activities.

  

**PERKS \& BENEFITS*** Medical Aid, Life Insurance \& Provident Fund
* Extra leave above\-standard and Birthday Off
* Hybrid Work Schedule
* Growth Opportunities
* Corporate gatherings, team bonding events, and much more!

  

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

  

Check out our website to learn more about the company at: **http://www.riamoneytransfer.com/**  

  

The position responsibilities outlined above are intended to define the general contents and requirements to perform this job. It is not to be taken as a complete statement of responsibilities or requirements. This job description does not restrict the Company’s right to assign or reassign duties and responsibilities to this job as needed.

Quality Assurance Analyst

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

**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

Data Analyst

**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

**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.

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We are seeking a Data Engineer with Grafana experience designs and builds the underlying data pipelines, databases, and integrations that feed real\-time metrics, logs, and business telemetry into Grafana dashboards.

Requirements \-

* A bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related quantitative field. \[1]
* **Experience:** Typically ranges from 3 to 8\+ years of hands\-on experience in data engineering, BI development, or cloud/DevOps monitoring roles. \[1, 2, 3]
* **Certifications:** Vendor\-specific or cloud certifications (such as AWS Certified Data Engineer, Microsoft Azure certifications, or Databricks credentials) are heavily preferred by employers like those featured on PNet and local tech listings.
* **Data Pipeline \& ETL Development:** Build and maintain scalable pipelines that ingest high\-volume, event\-based, or time\-series data from sources like cloud platforms (AWS, GCP, Azure), databases (PostgreSQL, MySQL), or telemetry collectors (Prometheus, Loki, Grafana Alloy).
* **Time\-Series \& Database Optimization:** Write and optimize complex SQL and database queries to ensure fast dashboard rendering and low\-latency metrics retrieval.
* **Dashboard \& Alert Engineering:** Partner with software developers, DevOps, and business stakeholders to turn requirements into interactive Grafana dashboards, threshold alerts, and real\-time monitoring panels.
* **Data Quality \& Governance:** Monitor pipeline reliability, manage schema designs, and ensure data integrity across multi\-team observability stacks
* **Data Engineering:** Python, SQL, ETL/ELT workflows, data modeling, and cloud infrastructure (AWS, GCP).
* **Observability \& Time\-Series:** Grafana, Prometheus, InfluxDB, Loki, Tempo, and OpenTelemetry / Grafana Alloy.
* **Complementary BI Tools:** Experience with alternative analytics or visualization platforms like Power BI, Tableau, or Looker.
* Build and maintain data pipelines integrating fleet, fuel, toll, maintenance and tracking information.
* Maintain shared master data across RT46 and RT62, including customers, vehicles, drivers and merchants.
* Implement transaction reconciliation, data migration, data quality controls, and Grafana monitoring and alerting.

Salary to be discussed.

Position \- Contract

Please respond with a detailed copy of your cv only if the if the above requirements are met.

Work Location: In person

**Job Requisition Details**
---------------------------


Job Requisition Number: 148004


Talent Acquisition: Precious Motlhako


Closing Date: 16 Oct


**Cluster and Location**
------------------------


Personal and Private Bank


Johannesburg, Sandton


**Career Stream**
-----------------


Credit Management
**Leadership Pipeline**
-----------------------


Manage Self: Professional
**Job Purpose**
---------------


To add hands\-on analytical capacity across data, credit and product, supporting the leads with analysis, models and reporting that inform sound decisions. In doing so, the Analyst turns data into clear insight, keeps data accurate and reliable, and develops the analytical craft as scope is defined.


**Job Responsibilities**
------------------------


**Analysis and Decision Support**


* Run analysis across data, credit and product to support day\-to\-day decisions.
* Turn data into clear, actionable insight for the leads and squad.
* Investigate questions methodically and present findings simply.

**Models and Reporting**


* Build and maintain models and reports under guidance.
* Keep reporting accurate, timely and easy to interpret.
* Support the maintenance and monitoring of existing models.

**Data Quality and Automation**


* Keep data accurate, reliable and well\-structured for analysis.
* Automate and improve routine analytical tasks to save time and reduce error.
* Follow sound practice so work is reproducible and maintainable.

**Collaboration and Delivery Support**


* Support the leads on scoping, planning and delivery.
* Collaborate with product, credit and engineering colleagues as needed.
* Communicate progress, questions and blockers clearly.

**Learning and Development**


* Learn and grow the analytical craft through practice and feedback.
* Keep current on relevant tools, techniques and the bank's standards.
* Take initiative to broaden skills across data, credit and product.
**Job Responsibilities Continue**
---------------------------------


**Essential Qualifications \- NQF Level**
-----------------------------------------


* Matric / Grade 12 / National Senior Certificate
* Advanced Diplomas/National 1st Degrees
**Preferred Qualification**
---------------------------


Honours in a quantitative field is advantageous.


**Minimum Experience Level**
----------------------------


At least two years in an analytical role, or equivalent demonstrated capability, with exposure to data analysis, reporting and basic modelling. Experience or study in credit, product or another quantitative context is advantageous, and a strong appetite to learn is essential.


**Technical / Professional Knowledge**
--------------------------------------


* Banking knowledge
* Communication Strategies
* Data analysis
* Governance, Risk and Controls
* Industry trends
* Principles of financial management
* Relevant regulatory knowledge
* Relevant software and systems knowledge
* Research methodology
* Business Acumen
**Behavioural Competencies**
----------------------------


* Coaching
* Communication
* Continuous Learning
* Collaborating
* Work Standards
* Technical/Professional Knowledge and Skills
\-


***Please contact the Nedbank Recruiting Team at \+27 860 555 566***

Data Analyst Jobs in Johannesburg - Page 2

Vacancies (page 2 of 8)