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Data Analyst with 3+ years in Retail Operations & Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with 3 years of experience in retail operations, finance, and banking. Skilled in leveraging Excel, Power BI, SQL, Python, and LAVA systems to analyze sales performance, forecast product demand, and optimize inventory planning. Experienced in monitoring stock levels, managing product redistribution, and improving order fulfillment rates to enhance operational efficiency. Background in financial services and loan processing, with a strong record of accuracy, compliance, and business support. Dedicated to delivering actionable insights that drive data-informed decision-making and business growth.
Tech4Dev
Data Engineering Fellow · MS Excel, Power BI, SQL, Python
September 1, 2025 – Present
Blossom Academy
Data Analytics Fellow · MS Excel, Power BI, SQL, Python
January 1, 2025 – April 1, 2025
All Nations University
Bachelor of Business Administration · Accounting
September 1, 2019 – May 1, 2023
Unicom Chemist
Data Analyst - Full time
May 1, 2025 – Present
India
Union of Professional Nurses and Midwives, Ghana
Executive Secretary and Accountant – Contract
November 1, 2023 – January 1, 2025
India
Absa Bank, Ghana.
Retail Banking – Seasonal
September 1, 2022 – October 1, 2022
India
South Akim Rural Bank, Ghana.
Credit Officer – Seasonal
June 1, 2022 – July 1, 2022
India
Analyzed sales data to generate insights for the growth of XYZ Retail Company
June 22, 2026 – Present
Cleaned and analyzed the data for insights using Microsoft Excel. Cleaning, transforming, and structuring the dataset, creating a visual report using Power BI desktop, and creating a dashboard using Power BI Service.
Created tables sets of "famous people" using SQL
June 22, 2026 – Present
Created tables sets of "famous people" using SQL, and additional tables of things they do, joined the tables to create nice human-readable lists.
Performed web scraping of Jobberman data using Beautiful Soup and Selenium
June 22, 2026 – Present
Extracting job title, company name, location, job type, salary, and requirements.
Cultural Fit Analysis
The candidate's project diversity, ranging from sales data analysis to web scraping and machine learning model building, indicates a broad interest in data-related fields. Their educational background in both Data Analytics and Data Engineering fellowships, alongside a Bachelor's in Accounting, suggests a strong commitment to continuous learning and a multidisciplinary approach. The experience in various sectors (retail, finance, banking) demonstrates adaptability and exposure to different business contexts, which can contribute positively to cultural fit within a dynamic team.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as teamwork, problem-solving, communication, and attention to detail, which are crucial for operational fit in a data-driven environment. Their experience in coordinating product redistribution and managing loan applications suggests an ability to work collaboratively and handle detailed processes. The transition support from manual to digital processes indicates adaptability and a proactive approach to improving efficiency.