Data Analyst | Product & Sales Insights | SQL • Python • Excel • Power BI • Customer Insights
Analytical and insight driven Data Analyst with proven ability to turn large, messy datasets into actionable business intelligence. Adept at SQL querying, Excel automation, dashboard design in Power BI and Tableau, and cross functional collaboration. Specializes in cleaning, transforming, and visualizing data to support data driven decisions across marketing, HR, operations, and product teams.
More InfoDetail oriented Data Analyst with experience in turning complex data into actionable insights to drive strategic decision making. Skilled in SQL, Python, Excel, Power BI, Tableau, and MongoDB, with a strong foundation in backend development. Adept at data cleaning, analysis, and visualization, with a proven ability to solve business problems and communicate findings clearly to technical and non technical stakeholders. Seeking a remote or flexible data role where I can leverage analytical and technical skills to add measurable value.
I attended Bodija International college Senior Secondary School- Oyo state, i attended from 2010 to 2016 and got a Senior Secondary School Leaving Certificate after graduating
I attended Eastern Mediterranean University - Famagusta Cyprus, i attended from 2017 to 2021 and got a Bachelor / B.S. in Computer engineering after graduating
Developed and optimized SQL databases for querying large-scale customer data, built automated data pipelines to clean and process raw data for dashboard use, reducing manual work by 35%. Designed Power BI dashboards for campaign analytics and customer segmentation, increasing targeting accuracy by 40%, regularly used Excel (formulas, pivot tables, charts) to generate daily and weekly performance reports.
Created Excel-based data tracking systems for file management efficiency. Developed a Power BI dashboard to visualize document activity trends, enabling a 20% improvement in response time. Transformed raw platform data into clear insights for management and end-users.
Analyzed usage patterns and app behavior using SQL queries and Tableau dashboards. Assisted in preparing client-ready reports using Excel charts and visual summaries. Supported REST API data integration and validation for analytics tools.
Supported the development of automated reports for client usage statistics, cleaned and transformed data for internal and external reporting, contributed to the creation of dashboards that visualized software engagement trends.
I translate complex datasets into actionable insights, delivering reports and strategic recommendations that align with your organizational goals.
I extract, manipulate, and analyze data from relational databases using clean, optimized SQL queries to provide clear answers to business questions.
I ensure your raw data is transformed into accurate, structured, and analysis ready formats using industry standard tools like Excel, SQL, and Python laying the foundation for reliable insights.
I craft interactive dashboards and visual stories using Power BI and Tableau, helping you uncover trends and make informed decisions at a glance.
Retail Revenue Analysis & Weekly Trend Segmentation–Python, Pandas, Matplotlib
Analyzed 200+ retail transactions to identify revenue trends and customer behavior across two store branches. Used pandas to clean, group, and bin data by week; created pivot tables and visualizations to track performance over time. Built weekly revenue trend reports and classified transactions by value using statistical thresholds (mean/median)
Workforce Attrition Dashboard – Power BI, SQL
Analyzed HR data (job role, income, performance) to identify 3–5 year attrition peaks. Created slicer based interactive dashboards with calculated columns and DAX for insights.
Product Sales & Customer Segmentation–PowerBI,Excel
Used Excel and SQL to prep and clean sales data; visualized trends across geography and customer behavior. Built region-based dashboards with profit margin analysis and customer heatmaps.
Employee Turnover Analysis – Tableau, SQL
Combined multiple HR datasets using SQL joins; cleaned with Excel Power Query. Designed Tableau dashboards to highlight risk departments and satisfaction drop-off points.
Industry Layoff Reporting – SQL, Excel
Cleaned and normalized tech layoff data by region and company size. Built Excel summary tables and SQL-based trend reports for HR consultants.
Video Game Sales Insights – Tableau, Excel
Cleaned multi-year sales datasets using Excel formulas and Power Query. Built Tableau visualizations to compare top genres, platforms, and regions.