Insight Analyst (Professional, BI Specialist (TCF))

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 practice

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. (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