Requirements

• Be in possession of a Bachelor’s degree in a related field (BSc, BCom: IT or Accounting).
• Have a minimum of 3 to 5 years relevant experience as a Financial Analyst, Data Analyst or similar role in Microsoft SQL (build SQL tables and write SQL queries).
• Have experience and knowledge of system integrations.
• Have experience with ETL tools and processes.
• Computer literacy
• Understanding of relevant financial policies.
• Leadership and management skills.
• Planning and organising
• Report writing
• Presentation Skills
• High level of accuracy and attention to detail.
• Project management
• Problem-solving
• Advanced excel.
• Strong proficiency in financial modelling, data analysis, and statistical techniques.
• Advanced skills in Microsoft Excel, SQL, and other data analysis tools.
• Familiarity with financial software and ERP systems (e.g., Dynamics, SAP, Oracle).
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Data integrity.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.

Responsibilities

• Assist in integrating data from different systems and platforms.
• Ensure data integrity, consistency, and accuracy across the organisation.
• Write and optimize SQL queries to extract, manipulate, and analyse data from relational databases, ensuring efficient data retrieval and processing.
• Develop and maintain data models and algorithms to support business objectives, including predictive modelling, forecasting, and optimisation.
• Perform regular system maintenance tasks, including password resets, error corrections, and data validation checks, to ensure system reliability and performance
• Collect, clean, and analyse data from various sources to identify trends, patterns, and insights that support strategic goals and initiatives.
• Develop and maintain data models and algorithms to support business objectives, including predictive modelling, forecasting, and optimization.
• 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.
• Identify areas for process improvement and automation to streamline workflows, increase efficiency, and enhance data quality and reliability.
• Collaborate with cross-functional teams to understand business requirements, identify opportunities for improvement, and drive data-driven decision-making.