About this role
Job Title: Insight Analyst (Professional, BI Specialist (TCF)) Job Description Data Analysis & Insights Generation • Analyze large datasets to identify trends, patterns, and key business insights. • Develop actionable insights that drive business decisions and improve operational performance. • Use statistical techniques, predictive modeling, and data mining to enhance reporting accuracy. Reporting & Visualization • Design and maintain dashboards, reports, and scorecards using tools like SQL, Power BI, Tableau, or Excel. • Ensure data integrity and accuracy in reporting, aligning with business needs. • Present insights in a clear and compelling manner to both technical and non-technical stakeholders. Business Problem Solving • Identify root causes of business challenges using data-driven approaches. • Recommend data-backed solutions to optimize business processes, efficiency, and customer experience. • Work cross-functionally with teams to implement insights-driven strategies. Performance Tracking & Continuous Improvement • Monitor key performance indicators (KPIs) and provide insights for performance enhancement. • Support the development of forecasting models to aid decision-making. • Continuously refine data methodologies to improve the accuracy of insights and reporting. Stakeholder Engagement & Collaboration • Engage with key stakeholders to understand data requirements and business objectives. • Communicate insights effectively to senior management and operational teams. • Act as a strategic partner by providing data-driven recommendations for business growth.
PERSON SPECIFICIATION • 2+ years of experience in data analysis, insights, or a similar analytical role. • Proficient in data visualization tools like Power BI, Tableau, or Looker. • Knowledge of SQL for querying databases. • Proven understanding of fundamental statistical analytical techniques (Process Analytical skills such as Six Sigma or Prince 2 would be advantageous) • Experience with statistical programming languages such as Python or R is a plus. • Excellent communication and storytelling skills to convey data insights to technical and non-technical audiences. • Strong problem-solving skills and attention to detail. • Ability to develop practical solutions based on outputs of data • Familiarity with predictive analytics and machine learning techniques is a bonus. • Microsoft application proficiency; in Excel and PowerPoint • Understanding of our client’s systems, processes and best practiceData Analysis & Insights Generation
• Analyze large datasets to identify trends, patterns, and key business insights. • Develop actionable insights that drive business decisions and improve operational performance. • Use statistical techniques, predictive modeling, and data mining to enhance reporting accuracy. Reporting & Visualization
• Design and maintain dashboards, reports, and scorecards using tools like SQL, Power BI, Tableau, or Excel. • Ensure data integrity and accuracy in reporting, aligning with business needs. • Present insights in a clear and compelling manner to both technical and non-technical stakeholders. Business Problem Solving
• Identify root causes of business challenges using data-driven approaches. • Recommend data-backed solutions to optimize business processes, efficiency, and customer experience. • Work cross-functionally with teams to implement insights-driven strategies. Performance Tracking & Continuous Improvement
• Monitor key performance indicators (KPIs) and provide insights for performance enhancement. • Support the development of forecasting models to aid decision-making. • Continuously refine data methodologies to improve the accuracy of insights and reporting. Stakeholder Engagement & Collaboration
• Engage with key stakeholders to understand data requirements and business objectives. • Communicate insights effectively to senior management and operational teams. • Act as a strategic partner by providing data-driven recommendations for business growth.
PERSON SPECIFICIATION
• 2+ years of experience in data analysis, insights, or a similar analytical role. (prefered) • Proficient in data visualization tools like Power BI, Tableau, or Looker. • Knowledge of SQL for querying databases. • Proven understanding of fundamental statistical analytical techniques (Process Analytical skills such as Six Sigma or Prince 2 would be advantageous) • Experience with statistical programming languages such as Python or R is a plus. • Excellent communication and storytelling skills to convey data insights to technical and non-technical audiences. • Strong problem-solving skills and attention to detail. • Ability to develop practical solutions based on outputs of data • Familiarity with predictive analytics and machine learning techniques is a bonus. • Microsoft application proficiency; in Excel and PowerPoint • Understanding of our client’s systems, processes and best practice
Location: ZAF Durban - 2 Ncondo Place, Ridgeside Drive, Umhlanga Ridge Language Requirements:
Time Type: Full time2026-05-31