Finance Digitization & Analytics Analyst (Africa)
Puma Energy
- Cape Town, South Africa
- Mid Level
- 5+ years
- Posted
Skills
Required
- Tableau / Sigma
- dashboard development
- data modelling
- calculated fields
- performance optimization
- SQL
- data architecture
- Finance processes
- Treasury
- Tax
- FP&A
Preferred
- analytics
- Finance operations / shared services / FP&A environments
- BI
- automation / business analysis
- Databricks
- modern data platform
- multi-country or regional matrix organisation
Main Purpose Serve as the embedded business-facing BI, business analysis and automation partner for Finance across the Africa region and GCC. The role owns performance measurement and steady-state automation, translates central digitization initiatives into locally embedded self-service tools, and works directly with regional and country Finance teams to define requirements and solve live business problems.
Responsibilities
- It ensures KPI definitions remain aligned with global standards while providing timely, reliable insight.
- This is a regional build-and-run role focused on BI, analytics and Finance process automation rather than data infrastructure ownership.
- Business Analysis & Requirements Work directly with regional Finance leadership, country teams and functional stakeholders to identify business needs, define requirements and translate them into practical analytics and automation solutions.
- Clarify what is required before development begins, reducing delays caused by incomplete or unclear specifications and iterating quickly as business needs evolve.
- & Steady-State Ownership Take ownership of Finance process automations across Accounting, Treasury, Tax, Controlling, FP&A and other Finance areas once initiatives transition from central digitization into business-as-usual.
- Maintain, troubleshoot and incrementally improve these automations without requiring central digitization involvement for routine changes.
- BI & Dashboarding Build and maintain BI dashboards end-to-end, including design, development, testing and iteration against live business questions rather than static specifications.
- Continuously refine dashboards as reporting and decision-support needs evolve, rather than treating them as one-off deliverables.
- Self-Service Analytics Adoption Drive adoption of self-service analytics tools across Finance and relevant business stakeholders.
- Reduce dependency on manual and ad hoc reporting requests by developing reusable, intuitive and well-governed tools.
- Partnership & Escalation Partner with central digitization teams on data engineering, security and architecture matters.
- Escalate complex technical needs, including data-pipeline issues, architecture decisions and security requirements.
- The role owns regional build-and-run delivery but does not independently build or manage data infrastructure.
- Governance Ensure KPI and data definitions remain aligned with global standards while enabling fast, locally relevant solutions.
- Act as the regional point of contact for Finance data-definition queries and disputes, coordinating resolution with relevant global and regional stakeholders.
Requirements
- Technical Strong hands-on capability in Tableau and/or Sigma, including dashboard development, data modelling, calculated fields and performance optimization.
- Working knowledge of SQL, with the ability to query and shape data directly rather than relying only on prepared extracts.
- Working knowledge of data architecture for informed discussions with central digitization and data-engineering teams; this role does not build pipelines.
- Finance Working knowledge of core Finance processes, including Accounting, Treasury, Tax, Controlling and FP&A, sufficient to assess what a KPI should measure and identify likely sources of data-quality issues.
- Strong stakeholder-management skills, with the ability to work effectively between central digitization, regional Finance leadership and country teams.
- Demonstrated ability to work independently while embedded in a business team, rather than operating only through a central delivery queue.
Preferred
- Prior exposure to Finance operations, shared services and/or FP&A environments is preferred.
- & Capabilities Typically 5-7 years of relevant experience in BI, analytics engineering, Finance automation or business analysis, with evidence of dashboards or tools used in operational and management decision-making.
- Exposure to Databricks or a comparable modern data platform is an advantage.
- A bias toward iterative delivery, with the ability to work effectively with ambiguous and evolving requirements.
- Experience in a multi-country or regional matrix organisation is an advantage.
- A relevant qualification in Finance, Accounting, Business, Data Analytics, Information Systems or a related field is preferred.
