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Job Title:   Performance Data Analyst Uganda

Organisation: UAP Old Mutual Insurance

Duty Station:  Kampala, Uganda

About the Company:

The UAP Old Mutual Group is an integrated Financial Service business comprising Faulu Microfinance Bank, UAP and Old Mutual. The Group, which is operational in East Africa services to more than 1.2 million customers across Kenya, Uganda, Tanzania, Rwanda and South Sudan. The UAP Old Mutual Group now comprises of 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 acquisitions resulted in Old Mutual Kenya UAP Holdings and Faulu Microfinance Bank, forming one of the largest financial services groups with a growing footprint in East and Central Africa. UAP and Old Mutual have been major players in the financial services market in East Africa for decades. The two entities have vast experience in Insurance, Investment, Asset Management and Banking, and are passionate about helping our customers achieve their financial goals.

Key Duties and Responsibilities:

• 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, investment, and claims—to deliver actionable insights, support key initiatives, and ensure data accuracy across all areas

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, Skills and Experience:

• Bachelor’s degree in Accounting, Actuarial Science, Computer Science, Data Science, Finance, Information Technology or Mathematics
• Strong proficiency in Power BI data visualisation and analytics, and other DATA analysis tools – specifically Python, SQL, R, Excel

Relevant Work Experience

• 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.

Technical 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.

Skills

• Accounting, Accounting, Actionable Insights, Analytical Support, Analytical Thinking, Analytical Tools, Asset Management, Banking, Business Performance, Business Strategies, Communication, Competitor Analysis, Computer Science, Customer Behavior, Customer Value, Customer Value Management, Data Analysis, Data Analysis Tools, Data Analytics, Data Compilation, Data Insights, Data Interpretations, Data Science, Datasets, Detail-Oriented {+ 31 more}

Education

• Bachelors Degree (B): Accounting (Required), Bachelors Degree (B): Actuarial Science (Required), Bachelors Degree (B): Computer and Information Science (Required), Bachelors Degree (B): Finance (Required), Bachelors Degree (B): Mathematics (Required)

How to Apply:
All suitably qualified candidates are encouraged to submit your application and complete Curriculum Vitae by applying online through visiting Old Mutual’s e-recruitment jobs portal at the web link below.

Click Here

Deadline: 15th November 2024

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