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Senior Analyst with 7+ years in financial risk management and business development
Data Analyst with an MSc in Financial Risk Management and over five years of professional experience in business development, banking operations, and customer engagement within the banking and insurance sectors. Skilled in Excel, Power BI, SQL, and Python, I am passionate about leveraging data to generate actionable insights that support business growth and risk-informed decision-making. Recognized for a proactive, solution-oriented mindset, strong analytical abilities, and interpersonal skills, I am seeking an opportunity to apply and further develop my data analytics skills by solving real-world business problems in a data-driven environment.
Blossom Academy
Data Analytics Fellowship · Excel, Power BI, SQL & Python
August 1, 2025 – Present
Presbyterian University, Ghana
MSc · Financial Risk Management
N/A – June 30, 2023
University of Professional Studies, Accra
BSc · Banking and Finance
N/A – June 30, 2017
Customer Risk Management Ltd
Head, Business Development
July 1, 2020 – June 1, 2025
Tema, Greater Accra Region, Ghana
PwC Ghana
Consultant – (Project Blue-Moon)
August 1, 2019 – November 1, 2019
Accra, Greater Accra Region, Ghana
Firstrust Savings & Loans
Field Monitoring Officer (Supervisor) – Microfinance Department
September 1, 2018 – August 1, 2019
Atsiaman, Greater Accra Region, Ghana
Firstrust Savings & Loans
Operations Officer
September 1, 2017 – August 1, 2018
Atsiaman, Greater Accra Region, Ghana
UniBank Ghana Ltd
Operations Officer
July 1, 2016 – August 1, 2016
Tema, Greater Accra Region, Ghana
Portfolio Deterioration Monitoring Project
June 1, 2026 – Present
Designed and implemented a relational database to monitor loan and investment portfolio performance using SQL. Applied joins, aggregations, subqueries to identify missed payments, declining investments, and high-risk accounts. Generated analytical reports and early-warning indicators to support proactive risk management decisions.
Credit Default Risk Analysis Project
June 1, 2026 – Present
Analyzed loan portfolio data using Excel to assess credit risk and identify potential default patterns. Performed data cleaning and exploratory analysis using Pivot Tables, formulas, and charts. Developed reports and visualizations to support lending and risk management decisions.
Telecom Customer Churn Analysis Project
June 1, 2026 – Present
Used Python (Jupyter Notebook) to clean, analyze, and explore customer data to identify factors contributing to customer churn. Developed a machine learning model to predict churn and identify high-risk customer segments for retention efforts. Visualized insights in Power BI and recommended strategies to improve customer retention and reduce revenue loss.
Graduate Employee Survey Analysis – Nigeria
June 1, 2026 – Present
Queried and analyzed graduate employment data using SQL Built interactive dashboards in Power BI to visualize employment trends, salary distribution, and factors influencing employability Generated insights to highlight patterns in graduate outcomes and labor market opportunities.
Introduction courses in Excel, Power Bi, SQL, Python
Data Camp Certifications
June 1, 2026 – Present
Data Preparation and visualization in Excel and Power Bi
Data Camp Certifications
June 1, 2026 – Present
Intermediate course in SQL
Data Camp Certifications
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from portfolio deterioration monitoring to customer churn analysis and graduate employment surveys, indicates a broad interest in applying data analytics across different domains. Their academic background in Financial Risk Management and practical experience in banking and insurance align well with roles requiring a strong understanding of financial data and risk. The pursuit of a Data Analytics Fellowship and various Data Camp certifications demonstrates a commitment to continuous learning and skill development, which is a positive cultural fit for dynamic analytical environments. The target role of 'Senior Analyst' aligns with their experience level and aspirations to further develop data analytics skills.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical abilities, a proactive and solution-oriented mindset, and good communication skills, as highlighted in their profile and project descriptions. Their experience in business development and client engagement suggests strong interpersonal skills and an ability to translate technical insights into business value. The roles held, particularly in risk management and financial services, indicate an operational fit for a Senior Analyst position that requires meticulous data handling and strategic reporting.