JOB TITLE: Data Analyst / Co-Ordinator AREA: Pretoria East, Gauteng INDUSTRY: Insurance Salary / CTC: R 30 000 – R 42 000 (depending on current earnings, qualifications and experience) Report to: Head of Business Data and MIS Job Summary: The Data Analyst / Coordinator will be pivotal in analysing complex data sets to deliver actionable insights that support strategic decision-making and business performance improvements. This role combines the responsibilities of analysing and coordinating data-related activities with designing, developing, and managing data-driven reports and insights. Key Responsibilities: Data Analysis: Collect, clean, and analyse data from diverse sources to identify trends, patterns, and insights. Develop and maintain dashboards and reports to track key performance indicators (KPIs). Utilise statistical methods and data visualisation tools to present findings effectively. Data Coordination: Coordinate with different departments to gather data requirements and ensure alignment with organisational goals. Manage data integration and ensure consistency across systems and platforms. Oversee data entry, quality, and integrity processes. Reporting: Prepare and deliver regular and ad-hoc reports to stakeholders, highlighting key insights and recommendations. Design and develop comprehensive Management Information (MI) reports and dashboards. Assist in the development of data-driven strategies and initiatives, ensuring reports meet business needs. Database Management: Maintain and update databases, ensuring data accuracy, security, and accessibility. Implement and monitor data governance practices and protocols. Support data governance efforts by ensuring data quality standards and controls are in place. Advanced Data Visualisation: Utilise advanced data visualisation tools (e.g., Power BI, Tableau) to create intuitive and insightful reports and dashboards. Present data findings in a clear and impactful manner to support strategic decision-making. Compliance and Data Security: Ensure all management information complies with relevant data privacy and security regulations (e.g., POPIA). Support data classification efforts and manage access controls to protect sensitive data. Programming and Data Automation: Use programming languages such as SQL, Python, and R to automate data extraction, transformation, and reporting processes. Develop and optimise automated reporting solutions to streamline management information processes. Collaboration and Stakeholder Engagement: Work closely with IT, business units, and other teams to support data-related projects and initiatives. Act as a subject matter expert in MI, offering training and support to colleagues on reporting tools and data analysis techniques. Continuous Improvement: Stay updated on industry trends and advancements in data reporting, visualisation, and analytics. Continuously seek opportunities to enhance reporting processes, tools, and data quality. Qualifications and Requirements: Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Information Management, Business Analytics, or a related field. 2-4 years of experience in data analysis, data coordination, or a related role. Strong proficiency in SQL and advanced skills in Microsoft Excel. Experience with data visualisation tools such as Tableau, Power BI, or similar. Proficiency in Python or R for data analysis and automation. Excellent analytical and problem-solving skills with a strong attention to detail. Familiarity with data governance principles and compliance requirements (e.g., POPIA). Strong communication skills with the ability to convey complex data insights to non-technical stakeholders. Experience in Salesforce is an advantage. Attributes: Detail-oriented with a strong focus on accuracy. Ability to work independently and as part of a team. Strong organisational and time management skills.
