MENYENE THOMAS

Data Analyst | Business Intelligence Specialist

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About

Data Analyst and Business Intelligence Specialist focused on transforming raw data into clear, actionable insights that drive business performance. Skilled in SQL, Python, Excel, and BI tools to build dashboards, track KPIs, and uncover trends across operations, product, and customer data. Passionate about using data storytelling, statistical analysis, and structured reporting to support smart decision-making in fast-moving organizations.

Work

Impact on Reproductive Health Initiative

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Junior Data Analyst

Eket, Akwa ibom, Nigeria

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Summary

Analyzed transaction and customer behavior data to support product, operations, and risk teams with timely business insights.

Highlights

Built weekly KPI dashboards in Power BI and Excel to track transaction success rate, customer growth, and service adoption trends.

Wrote SQL queries to clean and aggregate large payment datasets, reducing manual reporting time and improving data reliability.

Performed cohort and trend analysis to identify usage patterns and support data-backed recommendations for product improvements.

Collaborated with cross-functional teams to translate business questions into measurable metrics and actionable reports.

Triumph supplies and services Nigeria Ltd

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Business Intelligence Analyst

Eket, Akwa ibom, Nigeria

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Summary

Supported leadership decisions by transforming operational and commercial data into clear dashboards, reports, and performance narratives.

Highlights

Designed automated BI dashboards for sales, merchant performance, and customer engagement metrics using Power BI.

Developed and maintained SQL-based reporting pipelines for recurring monthly and quarterly business reviews.

Conducted ad-hoc analysis on campaign and product performance, highlighting revenue drivers and opportunities for optimization.

Partnered with operations and growth teams to define KPIs and monitor progress against business targets.

Linar ICT & Media School

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Data & Reporting Intern

IGANDO, Lagos, Nigeria

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Summary

Provided analytical and reporting support by organizing operational datasets and generating insights for engineering and planning teams.

Highlights

Collected, cleaned, and consolidated field and maintenance data from multiple sources for weekly reporting.

Prepared Excel-based dashboards to track equipment downtime, maintenance schedules, and operational efficiency indicators.

Assisted in root-cause trend analysis by visualizing recurring issues and highlighting patterns in operational incidents.

Improved data documentation practices to ensure consistency, traceability, and easier handover across teams.

Education

B.Eng

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Bachelor of Engineering Mechanical Engineering (Quantitative & Analytical Focus)

Languages

English

Skills

Data Analysis & Visualization

Pandas, NumPy, Matplotlib, Seaborn, Excel (Advanced), Power BI, Tableau, Data Cleaning, Exploratory Data Analysis (EDA), Statistical Analysis, Reporting, Dashboarding.

Databases & Data Platforms

PostgreSQL, SQL Server, MongoDB, Data Modeling.

Business Intelligence & Analytics Tools

Power BI, Tableau, Excel, Google Sheets, Jupyter Notebook.

Programming & Query Languages

Python, SQL, R.

Analytics Workflow & Collaboration

KPI Definition, Data Storytelling, A/B Testing, Git, GitHub, Jira.

Core Professional Skills

Analytical Thinking, Problem-Solving, Attention to Detail, Communication, Stakeholder Collaboration, Business Acumen.

Projects

E-commerce Sales Performance Analysis

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Summary

Analyzed historical e-commerce sales data to uncover performance trends, customer behavior patterns, and revenue opportunities for better commercial decision-making.

Customer Churn Prediction Analysis

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Summary

Developed and evaluated churn prediction models to identify at-risk customers and support retention strategy for a telecom business case.