Data Insights & Analytics Manager

StandardBankGroup

Nairobi, Nairobi County, Kenya permanent

Posted: February 17, 2026

Required Skills

Job Description

Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

To provide reporting, analytics, and strategic insights for a portfolio across multiple products and credit lifecycle segments (e.g., originations, account management, collections). Utilizing SQL, Python, and Power BI, this role drives the automation of production reports to ensure efficiency and accuracy. The core objective is to translate data into actionable insights for Senior Managers, enabling them to formulate strategies that effectively drive the business forward

Type of Qualification: First Degree

Field of Study: Information Technology, Statistics, Computer Science, Information Studies, Data Science, Mathematics, Actuarial Science, Computer Technology, Business Information Technology or related fields

Experience Required

Experience- 5-7 years in an analytics role. At least 2 years in a leadership or team management role preferably in a financial or insurance industry

• Proficient in SQL, Python, R, Power BI or Visualization tools
• Strong statistical analysis and knowledge of Machine Learning techniques.
• Understanding of Business Intelligence, data warehousing, data architecture
• Understanding of data governance and privacy
• Data monetization
• Information lifecycle management

Behavioural Competencies:

• Articulating Information
• Examining Information
• Interacting with People
• Interpreting Data
• Providing Insights
• Pursuing Goals

Technical Competencies:

• Advanced Data Analysis & Statistical Modelling
• Data Governance, Data Quality & Information Lifecycle Management
• Machine Learning & Advanced Analytics
• Programming & Analytics Tool Proficiency
• Data Visualization & Business Intelligence
• Data Warehousing, ETL & Architecture Concepts
• Automation & Intelligent Data Solutions
• Platform Management & Analytics Technologies

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