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Live · posted 3 days agoFull-time

Data and Financial Analyst

Lesaka Technologies Inc.

Johannesburg, Gauteng

Salary not listed

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Data analyst roles across banking, retail and telecoms. Most ask for SQL and Excel as a baseline, with Power BI or Python for the better-paid posts.

Job description

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

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Found on LinkedIn · Posted 3 days ago · Last checked Today

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Found on LinkedIn · Posted 3 days ago

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