Senior Analytics Engineer at Lesaka Technologies

What You’ll Be Doing

Build Scalable Analytics

• Develop and maintain dbt models across staging, intermediate, and marts
• Structure transactional and financial data into clean, reusable datasets
• Write and optimise SQL in BigQuery (performance + cost)
• Work with Data Engineering on pipelines (e.g. Airflow)

Enable Self-Service Analytics

• Design datasets that are intuitive, well-documented, and easy to use
• Reduce reliance on raw tables and ad hoc SQL
• Ensure consistent, trusted data for Looker / BI consumption
• Help teams answer questions independently without needing constant data support

Own Data Quality & Metrics

• Define and standardise core KPIs (single source of truth)
• Implement data tests and validation frameworks
• Ensure consistency across finance, product, and operational reporting

Partner with the Business

• Work closely with Product, Finance, Risk, and Operations teams
• Translate business requirements into scalable data models
• Support better decision-making through trusted data foundations

Raise the Bar

• Improve data modeling standards and best practices
• Contribute to better documentation, lineage, and discoverability
• Reduce manual reporting and fragmented logic across teams

What You’ll Bring

• 5+ years experience in Analytics Engineering, Data Engineering, or BI
• Advanced SQL skills (complex transformations, optimisation)
• Experience with dbt in production
• Experience with BigQuery or modern cloud data warehouses
• Strong data modeling skills (facts, dimensions, grain)

Senior Expectations

• Comfortable working cross-functionally with senior stakeholders
• Able to take ambiguous problems and turn them into structured solutions
• Strong ownership — you care about data quality, usability, and outcomes
• Able to influence standards and best practices
• Clear communicator — able to explain data simply and effectively

Bonus if you have

• Experience in fintech, payments, or financial services
• Exposure to Airflow or orchestration tools
• Experience working with large-scale transactional datasets
• Interest in AI/ML use cases built on strong data foundations

AI & LLMs (Nice to Have)

• Exposure to modern AI/LLM tools such as Claude or similar large language models
• Experience using LLMs to improve analytics workflows (e.g. SQL generation, documentation, data exploration)
• Interest in how well-structured data models enable downstream AI/ML and LLM use cases
• Familiarity with embedding analytics datasets into AI-driven applications or decision-support tools

What We’re Looking For

We’re not looking for someone to just move data.

We’re looking for someone who:

• Takes ownership
• Is comfortable with ambiguity
• Thinks about scalability and reuse
• Builds for self-service, not dependency
• Cares about data being trusted and widely used

Closing Date 30 June 2026