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Finance Digitization & Analytics Analyst (Africa)

Puma Energy

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.