Responsibilities

• Perform routine assessments and business improvements for operational effectiveness and efficiencies.
• Assist in integrating data from different systems and platforms.
• Data Integrity: Ensure data integrity, consistency, and accuracy across the organization.
• SQL Scripting: Write and optimize SQL queries to extract, manipulate, and analyse data from relational databases, ensuring efficient data retrieval and processing.
• Data Modelling: Develop and maintain data models and algorithms to support business objectives, including predictive modelling, forecasting, and optimization.
• System Maintenance: Perform regular system maintenance tasks, including password resets, error corrections, and data validation checks, to ensure system reliability and performance
• Data analysis: Collect, clean, and analyse data from various sources to identify trends, patterns, and insights that support strategic goals and initiatives.
• Data Modelling: Develop and maintain data models and algorithms to support business objectives, including predictive modelling, forecasting, and optimization.
• Reporting and Visualization: Develop reports, dashboards, and data visualizations to effectively communicate findings and actionable insights to stakeholders at all levels of the organization
• Extract, transform, and load financial data into databases or data warehouses.
• Process Optimization: Identify areas for process improvement and automation to streamline workflows, increase efficiency, and enhance data quality and reliability.
• Cross-functional Collaboration: Collaborate with cross-functional teams to understand business requirements, identify opportunities for improvement, and drive data-driven decision-making.
• Computer literacy
• Understanding of relevant finance policies

Please Note

• Be in possession of a Bachelor’s degree or a diploma in a related (BSc, BCom IT or Accounting).
• Should have 3 to 5 years of relevant experience as a Financial Analyst, Data Analyst, or similar role in Microsoft SQL (build SQL tables and write SQL queries).
• Experience and knowledge of system integrations.
• Strong proficiency in financial modelling, data analysis, and statistical techniques.
• Advanced skills in Microsoft Excel, SQL, and other data analysis tools.
• Experience with ETL tools and processes.
• Familiarity with financial software and ERP systems (e.g., Dynamics, SAP, Oracle)

Documents Required

Interested persons who meet the above-stated qualifications should forward their applications which should consist of a cover letter, detailed Curriculum Vitae, certified copies of qualification(s) and Identity Document (certified within the past 3 months)