Lekan Olowookere
@lekanolowookere
I turn customer and pricing data into decisions with dashboards.
What I'm looking for
I’m a detail-oriented Data Analyst who converts large, messy datasets into intelligence that drives pricing, retention, and operational strategy. I’ve built KPI frameworks and automated reporting pipelines that help teams move faster—cutting leadership reporting time by 40% and improving repeat purchase rate by 22%.
In consulting and analytics work, I’ve deployed Power BI dashboards across revenue, retention, and operational KPIs, and I’ve used SQL to query 2M+ records and surface a £180K revenue gap tied to untracked discount patterns. I also apply mixed-methods analysis using NVivo to synthesize stakeholder interview data into themes that shape senior-level recommendations.
My approach blends structured modeling with business clarity. I’ve delivered RFM-based segmentation to support targeted retention campaigns, and I design analytics outputs that balance technical rigor with executive expectations—like turning 500k+ e-commerce transactions into decision-ready customer and revenue insights.
I also enjoy tackling high-stakes analytical problems: I’ve conducted forensic data analytics and compliance intelligence, built Tableau dashboards to support evidence-based decisions, and reduced manual case review time by 30%. From Python automation that eliminated 30 hours of monthly manual processing to dashboard development across regions and brands, I’m motivated by measurable impact.
Experience
Work history, roles, and key accomplishments
Data Analyst
QaQc Consulting
Jan 2025 - Present (1 year 5 months)
Deployed 6 executive-facing Power BI dashboards across revenue, retention, and operational KPIs, cutting leadership reporting time by 40%. Queried 2M+ records via SQL to identify a £180K revenue gap from untracked discount patterns and delivered RFM segmentation that contributed to a 22% uplift in repeat purchase rate within two quarters.
Junior Data Analyst
Confluence University of Science and Technology
Nov 2023 - Dec 2024 (1 year 1 month)
Engineered Python automation scripts to eliminate 30 hours of monthly manual data processing, enabling capacity for higher-value analytics. Co-led an analytics tooling rollout and training program, lifting team proficiency by 25% and supporting SQL performance improvements across departmental systems.
Education
Degrees, certifications, and relevant coursework
Confluence University of Science and Technology
Bachelor of Science, Information Technology
Earned a BSc in Information Technology with coursework including data analysis, statistical computing, database systems and management, and Python programming; awarded Dean's List.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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