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Data Analyst with 2+ years in Excel & Power BI
Data Analyst with 2+ years building reporting and analysis that operations, sales, and finance teams rely on. My stack centers on Advanced Excel, Power Query, and Power BI, with SQL and Python for deeper data work. At QaQc Consulting, I queried 2M+ records to uncover a £180K revenue gap from untracked discount patterns, and built 6 dashboards that cut leadership reporting time by 40%. On a beverage distribution project, I cleaned and restructured data across 8 reporting dimensions and ran a pricing-vs-volume analysis that found three mid-tier brands underpriced relative to demand; a margin opportunity worth 15% that the sales team hadn't caught. I turn production, revenue, and inventory data into something management can act on, not just read.
Confluence University of Science and Technology
BSc Information Technology · Information Technology
N/A – June 30, 2026
QaQc Consulting
Data Analyst
January 1, 2025 – Present
India
Confluence University of Science and Technology
Junior Data Analyst
November 1, 2023 – December 1, 2024
Nigeria
Online Retail Sales Intelligence Platform
June 24, 2026 – Present
Processed and modelled 500k+ e-commerce transactions across several product categories and 38 sales regions. The starting point was a fragmented spreadsheet setup; the output was a single Power BI platform stakeholders could actually use on their own. Cleaned the dataset in Excel resolving 18% data quality issues across invalid entries, missing values, and duplicates then engineered time-based features before moving into Power BI modelling. Built a Power BI dashboard with 4 DAX-driven KPIs; Revenue, AOV, Transactions, Customers, across 2 report pages. It surfaced that the top 10% of customers drove a disproportionate share of revenue, that peak windows accounted for 38% of transactions, and that several product lines were consistently underperforming.
Enterprise Beverage Sales Performance Analysis
June 24, 2026 – Present
Built a Power BI sales dashboard for a beverage distribution company with 5+ brands across 3 regions. Used Power Query to clean and restructure a fragmented dataset, bringing consistency across 8 reporting dimensions. Built dynamic visuals ranking top-performing brands by monthly revenue and regional volume, which directly shaped marketing spend and inventory reorder decisions. A pricing-vs-volume analysis found that 3 mid-tier brands were underpriced relative to demand. The margin improvement opportunity was estimated at 15%, something the sales team hadn't flagged before.
Forensic Data Analytics & Compliance Intelligence
June 24, 2026 – Present
Ran forensic data analytics for a multi-site business across 10+ data categories, working directly with live transactional records that had compliance implications. Performed structured data classification and Excel-based analysis to detect financial anomalies, identifying 4 high-risk irregularity clusters that were escalated for formal review. Built a Tableau dashboard consolidating multiple analytical views to surface patterns and support evidence-based decision-making, cutting manual case review time by 30%. Delivered a compliance report structured to Big Four documentation standards. The goal was to make the irregularities legible to business stakeholders, not just auditors.
National Youth Service Corps
Unknown
January 1, 2026 – Present
Microsoft Power BI (PL – 300)
Microsoft
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from retail sales to beverage distribution and forensic analytics, indicates adaptability and a broad interest in applying data analysis across different business contexts. Their experience in both a consulting firm and a university setting suggests an ability to work in varied organizational cultures. The explicit mention of collaborating with IT staff and administrative teams, and delivering reports to Big Four standards, points to a professional and compliance-aware mindset. However, the resume does not provide explicit details on team collaboration styles or preferred work environments, making a deeper cultural fit assessment challenging without further interaction.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and data storytelling skills through their project descriptions. Their experience in bridging data and business teams, coupled with stakeholder management, indicates a good operational fit for roles requiring close collaboration and impactful communication. The ability to work with fragmented datasets and deliver actionable insights suggests a proactive and detail-oriented approach.