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Data Analyst with 1+ years in Excel, SQL, Power BI, and Tableau
Analytical and detail-oriented Data Analyst with a BSc in Science Laboratory Technology (Second Class Upper) from the University of Benin and a Professional Diploma in Data Analytics (WDS Cohort 11, accredited by ACTD). Proficient across the full analytics stack — Microsoft Excel, SQL, Power BI, and Tableau — with hands-on project experience building interactive dashboards, performing SQL-based data modelling, and communicating data-driven insights to business stakeholders. Background in records management, administrative data documentation, and technical operations further strengthens an ability to work accurately and efficiently with data in professional environments. Seeking a data analyst or business intelligence role where analytical skills can drive real business outcomes.
University of Benin
BSc · Science Laboratory Technology (Physics Electronics Techniques)
N/A – June 30, 2023
Welup Digital Academy (WDS)
Professional Diploma · Data Analytics
N/A – June 30, 2026
Welup Digital Academy
Data Analyst Intern
January 1, 2025 – June 30, 2026
India
Capstone Project – Business Intelligence Solution
December 1, 2025 – December 31, 2025
Built a multi-chart Excel sales dashboard featuring overall sales trends, revenue by region (West led at $405K), top products (Carlota, Aspen, Sunshine), top sales representatives (Jessica: $144K, Adam: $102K), and year-over-year revenue change — supported by written business commentary. Imported raw data into SQL, designed table schemas with appropriate data types, primary keys, and constraints; performed data quality checks for missing values, duplicates, and outliers; created derived fields including Revenue = Price × Quantity. Developed Power BI dashboards to answer sales and product performance questions (total revenue, top 10 products, return rates) and customer analytics questions (top spenders, average revenue per customer, repeat buyer patterns). Used Tableau to analyse country-level insights (sales distribution, average transaction value, high-return-rate countries), operational opportunities (low-volume high-price products, suspicious bulk-purchase-then-return patterns), and time-based sales trends (monthly/weekly patterns, peak and low seasons).
Customer & Sales Analysis Dashboard
November 1, 2025 – November 30, 2025
Analysed 3-year (2015–2017) retail data for a fictional global office supplies chain, reporting on Total Revenue, Profit, Returns, and Quantities sold. Segmented customers by occupation and gender to identify highest-revenue groups; broke down revenue by product category and region to surface growth opportunities and seasonal trends.
Independent Data Exploration
September 1, 2025 – September 30, 2025
Selected and explored a dataset from Tableau Public independently, framing business questions without a predefined brief to simulate real-world open-ended analysis. Designed a Tableau Story dashboard focused on clarity and business relevance; published to Tableau Public as a professional portfolio piece.
Professional Diploma in Data Analytics
Welup Digital Academy (WDS)
March 6, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship at Welup Digital Academy show a strong focus on practical application of data analytics skills. The diversity of tools used (Excel, SQL, Power BI, Tableau) and the range of analytical tasks performed (sales, customer, product, operational insights) indicate adaptability and a broad interest in data challenges. Their pursuit of a professional diploma in data analytics after a BSc in Science Laboratory Technology demonstrates a clear career pivot and commitment to the field, aligning well with a growth-oriented culture. The projects, while academic, simulate real-world scenarios, suggesting a proactive approach to learning and problem-solving.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and attention to detail through their project work, particularly in data cleaning and quality checks. Their internship experience highlights collaboration with cross-functional teams and contribution to standardized documentation, indicating good operational fit and teamwork potential. The independent data exploration project suggests initiative and self-direction.