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Senior Analyst with 9+ years in Finance and Data Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Finance and Data Analytics professional with experience in banking, microfinance, and credit operations, currently transitioning into a data-driven role. Skilled in credit risk assessment, loan portfolio management, and client relationship management, with a strong ability to interpret financial data for informed decision-making. Experienced in supporting business growth through SME lending, arrears management, and compliance with credit policies. Proficient in SQL, Python, R, and Power BI, applying analytical tools to improve reporting, efficiency, and portfolio performance in financial services environments.
Chinhoyi University of Technology
Master of Science · Big Data Analytics
July 1, 2024 – May 1, 2026
National University of Science and Technology
Executive Certificate · Microfinancing and Entrepreneurship
N/A – September 1, 2023
Midlands State University
Bachelor of Commerce (Honours) · Banking and Finance
N/A – April 1, 2022
Gweru Polytechnic
National Diploma · Banking and Finance
N/A – November 1, 2015
Old Mutual Finance
Data Analyst
February 1, 2026 – Present
India
Old Mutual Finance
Client Relationship Officer
September 1, 2021 – January 1, 2026
India
FMC Finance
Loan Officer
January 1, 2017 – August 1, 2021
India
Cultural Fit Analysis
The candidate has a consistent work history within the financial sector, specifically in banking and microfinance, which aligns well with roles requiring financial acumen. The transition from client relationship and loan officer roles to a data analyst position, coupled with ongoing education in Big Data Analytics, shows adaptability and a proactive approach to career development. The breadth of experience across different functions within financial institutions suggests a versatile individual who can contribute to diverse projects and adapt to various team dynamics. However, the project diversity is limited to financial services, which might indicate a narrower exposure to other industries or data domains.
Soft Skills & Operational Fit
The candidate demonstrates key attributes such as being hardworking, adaptable, a team player, a strong communicator, detail-oriented, results-driven, and organized. These attributes suggest a good operational fit, indicating the ability to work effectively under pressure, collaborate with teams, and manage tasks efficiently. The experience in client-facing roles also points to strong interpersonal and communication skills.