Senior BI Analyst

Key Responsibilities:

BI Leadership, Coordination & Enablement

· Act as the senior technical authority for BI, setting best practices, standards, and design principles across the BI estate.

· Coordinate and guide a small team of BI Analysts, balancing hands-on delivery with review, mentoring, and technical direction.

· Remain an active contributor, owning and delivering complex, high-impact dashboards, reports, and data models.

· Review and assure BI outputs to ensure they meet agreed standards for accuracy, performance, usability, and consistency.

· Facilitate effective ways of working across the BI team, including prioritization, estimation, and delivery cadence.

· Support skills development and knowledge sharing to uplift overall team capability.

BI Delivery & Stakeholder Partnership

· Own the end-to-end delivery of BI solutions, from requirement definition through to deployment and ongoing enhancement.

· Partner closely with investment, risk, finance, and operations stakeholders to priorities BI initiatives and manage demand.

· Translate complex business requirements into scalable, well-designed BI solutions.

· Act as a trusted advisor to senior stakeholders, using data and insights to influence decision-making.

Data & Reporting Solutions

· Oversee the design, build, and maintenance of dashboards and reports covering portfolio performance, cash flows, risk, and credit metrics.

· Drive standardization and reusability of reports, data models, and metrics across the organization.

· Ensure high levels of data accuracy, consistency, and transparency in all BI outputs.

· Champion automation of recurring reporting to improve efficiency and reduce operational risk.

Data Architecture & Continuous Improvement

· Work closely with IT and data engineering teams to shape data models, pipelines, and BI architecture.

· Define and enforce BI best practices, including data modelling standards, naming conventions, and documentation.

· Identify opportunities to improve BI tooling, processes, and performance.

· Stay abreast of developments in BI tools, analytics techniques, and data visualisation best practices, and apply them pragmatically.

Required Experience & Skills:

· 10+ years of experience in BI, analytics, or data roles, ideally within asset management, private markets, or financial services.

· BI Tools: Expert-level experience with Power BI, Tableau, or Qlik, including enterprise-scale deployments.

· Data Platform:

o Experience working with cloud-based data platforms (preferably Azure: Synapse, Fabric, Data Factory).

o Familiarity with managing BI datasets and refresh strategies in enterprise environments.

· SQL: Advanced SQL skills for complex querying, optimization, and data validation.

· Data Modelling: Strong experience designing analytical data models (e.g. star and snowflake schemas).

· ETL & Data Pipelines:

o Strong experience designing and implementing ETL/ELT pipelines, including incremental data loads and data transformation strategies.

o Experience with modern data tooling (e.g., Azure Data Factory, SSIS, dbt, or equivalent).

o Understanding of data warehousing concepts, including fact/dimension modelling, slowly changing dimensions, and historical tracking

· Application & Data Integration:

o Experience integrating BI solutions with application backends (e.g., .NET APIs) and frontends (e.g., SPA frameworks such as Vue or React)

o Familiarity with embedded analytics approaches (e.g., Power BI Embedded or custom dashboarding solutions).

o Strong understanding of data access patterns, pagination, filtering, and performance considerations in application-driven reporting.

· Excel: Advanced Excel skills, including Power Query; VBA experience beneficial.

· Experience optimizing BI and SQL workloads for large datasets (millions+ rows)

· Governance: Experience implementing data quality controls and reporting standards.

Pay: R80 000,00 - R90 000,00 per month

Experience:

• Power BI: 6 years (Required)
• Azure: 6 years (Required)
• SQL: 6 years (Required)

Location:

• Cape Town, Western Cape (Preferred)

Work Location: Hybrid remote in Cape Town, Western Cape