Junior Data Analyst - Finance

In brief

Overview This Junior Data Analyst role at Lesaka Technologies is designed to support the Finance department. The primary function involves building and maintaining financial models, dashboards, and management reports to convert raw data into actionable insights for decision-making. The position focuses on financial modelling, data visualisation, and managing recurring reporting cycles. It requires close collaboration with senior analysts and finance business partners to ensure that information used for planning, budgeting, and performance monitoring is accurate, timely, and well-presented. The role provides a strong foundation in financial analysis and reporting, offering exposure to forecasting, variance analysis, and stakeholder engagement across the finance function. What you will do **Financial Modelling & Analysis** * Build, update, and maintain financial models to support budgeting, forecasting, and scenario analysis. * Assist with variance analysis, comparing actuals to budget/forecast and investigating key drivers. * Support ad hoc financial analysis requests from senior management. * Maintain data integrity and version control across models and supporting workbooks. **Reporting & Data Visualisation** * Design and maintain recurring management reports, dashboards, and scorecards for finance and business stakeholders. * Build and refine visuals and dashboards using tools such as Power BI and/or Looker Studio to communicate financial performance clearly. * Automate and streamline recurring reporting processes to improve turnaround time and accuracy. * Ensure consistency of formatting, definitions, and data sources across reports and dashboards. **Data Analytics & Technology Enablement** * Write and optimise queries using SQL to extract and structure data from finance and operational systems. * Support analytics and reporting automation using Excel-based tools. * Work with Google Cloud Console including BigQuery to source, query, and consolidate data for reporting. * Partner with data and technology teams to improve data quality, structure, and accessibility for finance reporting. **Business Partnering & Stakeholder Support** * Prepare clear summaries, commentary, and presentation materials for management and governance forums. * Respond to stakeholder queries on financial data, reports, and dashboards in a timely and professional manner. **Process & Control Improvement** * Identify opportunities to improve the efficiency, accuracy, and automation of financial reporting processes. * Document reporting processes, data sources, and model logic to support knowledge continuity and audit readiness. * Support the implementation of new reporting tools, templates, and process enhancements. Requirements (from the original advert) * Bachelor's degree in Finance, Accounting, Economics, Business Analytics, Data Science, or a related field. * 0–2 years' experience in a finance, reporting, or business analysis role (graduate/junior level). * Solid Excel skills. * Basic working knowledge of SQL. Who should apply The ideal candidate for this role possesses strong financial modelling and advanced Excel skills, including proficiency with formulas, pivot tables, and scenario/sensitivity analysis. They should have a working knowledge of SQL for data extraction and manipulation, and be proficient in data visualisation tools such as Power BI and/or Looker Studio. Exposure to Python for data analysis and reporting automation is considered advantageous, as is working knowledge of Google Cloud Console, specifically BigQuery, for accessing and querying finance data. A good understanding of financial statements, budgeting, and forecasting concepts is expected. Beyond technical skills, the candidate should demonstrate strong attention to detail and a commitment to data accuracy. They must be capable of translating complex financial data into clear, actionable visuals and insights. Good communication and stakeholder engagement skills are crucial, along with an eagerness to learn, take ownership, and effectively work both independently and as part of a team. The ability to manage multiple reporting deadlines in a fast-paced environment is also required. Internship or vacation work experience within a finance, banking, or fintech environment is advantageous, as is basic exposure to Python or other scripting languages for data analysis. Deadline 15 October 2026 Reference Original posting: https://www.myjobmag.co.za/job/junior-data-analyst-finance-lesaka-technologies Source: myjobmag

Summary drafted with AI assistance from the original advert. The advert itself is the authority — how we use AI.

At a glance

• No previous work experience required.

• Python
• SQL
• Google Cloud
• Power BI
• Microsoft Excel

Extracted automatically from the advert; confirm requirements on the original listing.

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