Summary
Date Posted: Friday, February 21 2025, Base Salary: Not Disclosed

JOB DETAILS:
Old Mutual Limited (OML) is a Pan-African financial services group that offers a broad spectrum of financial solutions to retail and corporate customers across key markets in 13 African countries and boasts a rich heritage of 175 years. The primary listing of Old Mutual Limited, which comprises the East Africa business – UAP Old Mutual Group, on the Johannesburg Stock Exchange is a milestone the business attained in June 2018, with Secondary listings in Zimbabwe, Namibia & Malawi.
The UAP Old Mutual Group comprises three key players as a result of the acquisition of a controlling stake in Faulu in 2014 and UAP in 2015 by Old Mutual. The Group is one of the largest financial services groups with a growing footprint in East and Central Africa. It currently operates in Kenya, Uganda, Tanzania, South Sudan and Rwanda. UAP Old Mutual offers customers a comprehensive and enhanced range of financial services which include Investment, Insurance, Savings and Banking, as well as a wider and more accessible distribution network. The Group also offers broad career growth prospects for employees. It therefore wishes to fill the below vacant position with a qualified, experienced and talented individual to strengthen its portfolio as a Pan – African Financial Services Group. The position’s details are outlined below:
Role Title: Data Analyst -1 Post
Business Unit(s): Rwanda
Business /Function: Data Analyst
Location: Rwanda-Kigali
Reports To: Operations Manager
MDP Level: Manager of self
Role Size L
Job Summary
The Data Analyst will analyse and interpret data from our operations. They will leverage data insights to drive strategic decisions, enhance business performance, optimize risk, and improve product offerings. The role requires close collaboration with cross-functional teams—actuarial, underwriting, and claims—to deliver actionable insights, support key initiatives, and ensure data accuracy across all areas.

Key tasks and responsibilities
Data Collection and Analysis
• Gather, analyse, and interpret complex data sets from various insurance (life and general) and asset management systems.
• Analyse trends and anomalies in claims, underwriting, policyholder behaviour, and investment portfolios to generate insights and identify opportunities for business growth.
Risk & Performance Analysis
• Support the actuarial and underwriting teams by analysing risk profiles and contributing to pricing models.
• Develop predictive models to assess future trends in claims, premium collection, and investment returns.
• Analyse data to assess risk factors and develop models with the risk management team to implement data-driven risk mitigation strategies
Cross-Functional Collaboration
• Collaborate with actuarial, claims, and risk management teams to provide analytical support for product development, claims management, and risk mitigation strategies.
• Assist in developing and optimizing insurance and asset management processes using advanced data analytics techniques.
Market and Competitor Analysis
• In collaboration with marketing and business development, conduct market research & competitor analysis to identify opportunities & threats.
• Provide insights on market trends and customer behaviour to inform business strategies
Reporting & Presentation
• . Leverage Power BI to present insights and findings to senior management, contributing to decision-making and strategic planning.
• Prepare reports on business performance, risk factors, and market trends for the stakeholders.
• Provide regular updates on key metrics related to policy performance, customer segments, and investment portfolios.
Reporting and Data Integrity & Governance
• Collaborate with the actuary and finance teams to ensure report and DATA management accuracy and completeness.
• Keep up to date with and provide insights to support regulatory reporting requirements in insurance and asset management

Qualifications and experience
• Bachelor’s degree in accounting, Actuarial Science, Computer Science, Data Science, Finance, Information Technology or Mathematics
• Strong proficiency in Power BI data visualization and analytics, and other DATA analysis tools – specifically Python, SQL, R, Excel
• Proven experience (3+ years) in data analytics within the asset management, banking, general and/or life insurance and telecom sectors.
• Experience with statistical modelling, predictive analytics, and machine learning techniques is a plus.
• Ability to work independently and collaboratively in a fast-paced environment.

Skills and competencies
• In-depth knowledge of data analytics tools, and emerging trends in Customer Value Management (CVM).
• Excellent analytical and problem-solving skills, with the ability to translate data into actionable insights.
• Strong attention to detail, problem-solving skills, and the ability to communicate complex data insights to non-technical stakeholders.
• A working knowledge of change management with the ability to influence organizational change.
• Familiarity with SQL and database management.
• Knowledge of insurance industry regulations and standards.

Work Hours: 8

Experience in Months: 36

Level of Education: Bachelor Degree

Job application procedure

Please visit our careers page through: https://oldmutual.wd3.myworkdayjobs.com/en-US/Old_Mutual_Careers/details/Data-Analyst_JR-63555?q=kigali 

All Jobs

QUICK ALERT SUBSCRIPTION