Business Performance & Analytics Lead

CIC Insurance Group Plc is an insurance company founded in 1968, operating in the Banking, Finance & Insurance sector in Nairobi, Kenya. They provide various financial services.

The Business Performance & Analytics Lead reports to the Director, Special Projects, and is responsible for delivering reliable, timely, and actionable performance insights to aid transformation initiatives and management decisions. This includes focusing on sales activity, pipeline management, productivity measurement, forecasting, dashboard creation, and performance analytics. The role requires establishing a robust data, measurement, and analytical framework to comprehend performance, identify emerging issues, guide management actions, and assess the measurable impact of transformation efforts.

1. Establish performance baselines against which transformation initiatives and business performance can be measured.
2. Define appropriate lead and lag indicators for key performance areas.
3. Develop performance measurement frameworks aligned to strategic and transformation objectives.
4. Establish standard definitions, calculation methodologies, and data sources for key sales and business KPIs.
5. Promote consistency, accuracy, and integrity of performance data across the Group.
6. Identify data quality issues and work with relevant stakeholders to resolve them.
7. Monitor performance trends and highlight emerging risks, opportunities, and areas requiring management attention.
8. Lead the business requirements and performance logic for the Sales Activity & Performance Dashboard, covering sales performance by team and branch, sales performance by product, individual sales productivity, customer visits and engagements, sales activity levels, pipeline volumes and movement, pipeline quality, conversion rates, forecasts and forecast accuracy, performance against target, performance against prior year, productivity comparisons and leaderboards, and performance gaps and recovery plans.
9. Ensure that dashboards provide actionable management information rather than simply presenting data.
10. Establish appropriate refresh frequencies, definitions, and controls for critical performance information.
11. Analyze performance data to identify trends, relationships, anomalies, and underlying drivers.
12. Investigate differences in performance across branches, teams, products, and sales channels.
13. Analyze the relationship between sales activities and commercial outcomes.
14. Identify where opportunities are being lost or delayed within the sales pipeline.
15. Analyze product growth and decline and identify relevant performance drivers.
16. Identify teams, branches, or processes exhibiting material productivity gaps.
17. Distinguish structural performance issues from temporary or isolated variances.
18. Translate analytical findings into clear management insights and practical recommendations.
19. Challenge assumptions and proposed interventions using objective evidence.
20. Develop and continuously improve sales forecasting methodologies.
21. Monitor forecast accuracy and identify sources of forecast variance.
22. Conduct trend, variance, and scenario analysis.
23. Identify emerging risks to target achievement.
24. Highlight material performance risks and opportunities to management.
25. Provide forward-looking analysis to support timely management intervention and corrective action.
26. Establish a measurement approach for each major transformation initiative.
27. Define the appropriate baseline, intervention, target, actual result, and benefit measure.
28. Track whether expected operational and commercial benefits are being realized.
29. Quantify and document measurable improvements attributable to transformation interventions, where the data permits.
30. Distinguish between activity completion and actual business impact.
31. Provide evidence-based reporting on transformation outcomes to the Director, management, and relevant governance forums.

1. Bachelor’s degree in Statistics, Mathematics, Actuarial Science, Economics, Finance, Business Analytics, Data Analytics, Computer Science, Engineering, or a related discipline.
2. 5–8 years of relevant experience in business intelligence, performance analytics, management information, commercial analytics, data analysis, or business performance management.
3. Advanced Excel capability.
4. Strong practical experience with Power BI or an equivalent business intelligence platform.
5. Strong analytical, communication, and executive presentation capabilities.
6. Strong analytical and critical thinking skills.
7. Excellent data interpretation and quantitative reasoning.
8. Strong business and commercial acumen.
9. Ability to translate complex data into clear business insight.
10. Strong understanding of data quality, definitions, and measurement integrity.
11. Strong problem-solving and investigative capability.
12. Excellent data storytelling and presentation skills.
13. Ability to communicate analytical findings to non-technical stakeholders.
14. Confidence to challenge management assumptions using evidence.
15. Curiosity and intellectual rigor.
16. Strong commercial orientation and focus on business impact.
17. Desirable: Master’s degree in Business Analytics, Data Analytics, Economics, Finance, MBA, or a related field.
18. Desirable: Power BI certification.
19. Desirable: SQL or other data-querying capability.
20. Desirable: Python or R capability.
21. Desirable: Experience in sales or commercial analytics.
22. Desirable: Experience working with CRM systems and sales data.
23. Desirable: Experience designing and implementing executive dashboards.