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Senior Data Analysis with 3+ years in business intelligence and data visualization.
Data Analyst with experience transforming business and operational data into actionable insights that drive strategic decision-making, revenue growth, and operational efficiency. Proficient in Power BI, Excel, SQL, Python, and Power Query, with expertise in business intelligence reporting, KPI development, customer behaviour analysis, and data visualization. Delivered measurable results through automated reporting, performance dashboards, demand forecasting, and financial analysis that helped stakeholders identify growth opportunities, improve business performance, and make data-driven decisions. Recognized for translating complex data into clear strategic recommendations and actionable insights that support business objectives and cross-functional teams.
IJAN Africa
Professional Certificate · Data Analytics
August 1, 2024 – June 30, 2024
University of Lagos
B.Sc. · Marine Biology
August 1, 2021 – June 30, 2021
Ebo, Corp
Strategic Data Analyst
April 1, 2025 – March 31, 2026
Maryland, USA
Jumia Nigeria
Customer Service Agent - Inbound Sales
June 1, 2021 – August 31, 2023
Nigeria
Customer Demand Intelligence & Revenue Optimisation
January 1, 2026 – June 1, 2026
Analyzed 2,000+ transactions across 5 branches and discovered recurring stock shortages on high-demand products, leading to missed sales opportunities and inconsistent inventory planning. Built interactive Power BI dashboards and KPI reports to uncover customer purchasing patterns, demand trends, and branch-level performance, giving stakeholders clear visibility into the root causes of inventory inefficiencies. Through demand forecasting and sales trend analysis, I identified a potential #35M+ revenue opportunity by ensuring high-demand products were adequately stocked during peak periods. Recommended data-driven inventory optimization strategies, including improved demand planning and stock allocation across branches, helping stakeholders reduce stockout risks, improve operational efficiency, and support revenue growth.
Customer Financial Analysis Dashboard
January 1, 2025 – December 31, 2025
Analyzed financial data for 2,000 customers, evaluating income levels, debt exposure, credit card usage, and credit scores to identify key financial risks and growth opportunities. Built interactive dashboards and reports tracking customer demographics, credit behaviour, debt-to-income ratios, and financial performance indicators, enabling stakeholders to monitor trends and support business decision-making. Identified critical risk factors, including a 139% average debt-to-income ratio, 79% of customers classified as high financial risk, and 100% of credit cards in the dataset being expired, highlighting opportunities for customer retention and revenue recovery initiatives. Conducted customer behaviour analysis and segmentation across income groups, uncovering that 70% of customers were low-income earners while many high-income customers remained underutilized for premium financial products. Delivered strategic recommendations including targeted credit card renewal campaigns, premium product offerings for high-value customers, and financial literacy initiatives aimed at improving customer retention, financial performance, and revenue growth.
Customer Support & Sales Operations Dashboard
January 1, 2024 – December 31, 2024
Analyzed 5,000+ customer interactions across 8 agents, evaluating call volume, response times, resolution rates, customer satisfaction, and operational performance Developed an interactive Power BI dashboard tracking key service KPIs, including call resolution rates, answer speed, customer satisfaction, and agent productivity, enabling stakeholders to monitor performance in real time. Identified operational bottlenecks, including higher unanswered call rates during peak periods and lower resolution rates across specific service categories, supporting targeted process improvements. Delivered actionable recommendations on workforce planning, agent coaching, and customer service optimization, helping improve operational efficiency and customer experience.
TDI (The Data Immersive) Sapphire Cohort
The Data Immersive
June 1, 2026 – Present
Self-directed learning roadmap: Power BI advanced features, SQL query optimisation, Python for analytics, Looker Studio, and digital marketing analytics tools, including Google Analytics 4 and Meta Ads reporting.
Unknown
June 1, 2026 – Present
Expanding expertise in Business Analysis, Financial Analysis, Excel automation, and data-driven decision support through hands-on projects and professional development.
Unknown
June 1, 2026 – Present
TechRush Data Analytics Programme
TechRush
January 1, 2026 – Present
Deliberate career pivot from commercial operations (Jumia, 2021–2023) into data analytics in 2023, self-initiated learning, completed structured certification, built independent consulting projects, and entered the industry professionally within 12 months.
Unknown
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's deliberate career pivot and continuous learning initiatives demonstrate a strong growth mindset and adaptability. Their experience in both a corporate setting (Ebo, Corp) and self-initiated consulting projects shows versatility. The focus on delivering actionable insights and collaborating with various teams aligns well with a data-driven culture. The diverse project portfolio indicates a broad interest in applying data analytics to different business problems.
Soft Skills & Operational Fit
The candidate demonstrates strong communication skills through clear project descriptions and experience in stakeholder training and executive reporting. Their background in customer service provides a solid foundation for understanding business needs and translating them into analytical solutions. The deliberate career pivot into data analytics highlights proactivity, self-motivation, and a strong learning aptitude, which are valuable for operational fit.