Data Insights & Analytics Manager at Standard Bank - UK

Nairobi, Nairobi County, Kenya -

Full Time

Start Date

Immediate

Expiry Date

18 May, 26

Salary

0.0

Posted On

17 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Sql, Python, Power Bi, Statistical Analysis, Machine Learning, Business Intelligence, Data Warehousing, Data Architecture, Data Governance, Data Privacy, Data Monetization, Information Lifecycle Management, Data Analysis, Statistical Modelling, Data Quality, Automation

Industry

Financial Services

Description

Company 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. Job Description 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 Qualifications 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 Additional Information 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 Business Segment: Personal & Private Banking

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Responsibilities

This role is responsible for providing reporting, analytics, and strategic insights across multiple products and credit lifecycle segments, such as originations, account management, and collections. A core objective is driving the automation of production reports using SQL, Python, and Power BI to ensure efficiency and accuracy.