I'm Jim Joseph, a Data Analyst and Business Intelligence professional specializing in financial analysis, SQL, Power BI, Excel, Python and business process analysis.
A data-focused professional combining analytical thinking with business understanding.
I'm a Data Analyst and Business Intelligence professional with a background in Economics and experience using SQL, Excel, Power BI, Python and data visualization to transform complex datasets into actionable business insights.
My Economics background has strengthened my understanding of business performance, financial analysis, market trends, risk and data-driven decision-making. I combine this foundation with technical data skills to solve business problems and communicate insights clearly.
My work focuses on business performance analysis, financial analytics, forecasting, dashboard development and business process analysis. I enjoy turning raw data into practical insights that help organizations make better decisions, improve performance and identify new opportunities.
I'm currently seeking opportunities where I can apply my analytical, technical and business skills to create measurable value for organizations.
Academic background and professional credentials.
University of Uyo, Akwa Ibom, Nigeria
2024Microsoft Certification
2025Statistical methods, predictive tools, algorithm logic
2025Discharge Certificate
2026Tools and capabilities I use to turn raw data into useful business information.
DAX, KPI development, data modelling, interactive dashboards and business reporting.
Pivot Tables, Power Query, XLOOKUP/VLOOKUP, data modelling and financial analysis.
Data querying, joins, CTEs, window functions and relational data analysis.
Pandas, NumPy, Matplotlib, data cleaning, transformation and exploratory analysis.
Financial analysis, commercial analytics, customer retention and operational reporting.
Exploratory analysis, cohort analysis, anomaly detection and statistical summaries.
A selection of analytics and business intelligence projects.
Built an end-to-end transaction tracking dashboard using Power BI, SQL and Advanced Excel, cutting manual liquidity reporting time by an estimated 30% for senior leadership.
30% Estimated Reduction in Reporting Time Liquidity & Transaction KPIs Financial Performance Monitoring Senior Leadership Reporting
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Built a Python-based analytical engine using Pandas, Advanced Excel and Power BI to automate customer cohort retention analysis, reducing manual analysis time by an estimated 40% for repeatable, cross-department use.
40% Estimated Reduction in Analysis Time Customer Retention Cohort Analysis Revenue & Commercial Metrics Cross-Department Reporting
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Analyzed churn drivers across 7,000+ customers using Power BI and DAX, identifying month-to-month contracts and e-check payments as key churn risk factors to support retention analysis.
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Interactive Power BI sales dashboard designed to analyze iPhone sales performance, trends and key commercial metrics.
View Case Study →Professional experience in financial, operational and analytical work.
I'm open to Data Analyst, Business Intelligence, Financial Analytics and related opportunities.