Data Analyst & Business Intelligence Analyst

PROFESSIONAL SUMMARY

Data Analyst with *+ years of experience transforming data into strategic insights that drive operational efficiency, boost users’ engagement and revenue growth. Adept at building scalable reporting systems, uncovering growth opportunities, enhancing product adoption, and supporting executive decision-making through advanced analytics. SKILLS

Databases & Visualization Stack:

Oracle DB, SQL Server, PostgreSQL, KNIME, SSIS, SSRS, ETL Pipelines, MS Power BI (DAX), Power Query, Power Platform, Apache Superset, Metabase, Amplitude, Google Analytics, Tableau, MS Excel. Core competencies:

Market Research & Competitor Analysis, Data Story-Telling, Data Visualization and Reporting, Effective Communication Skills, Critical Thinking and Problem-Solving Skills, Data Mining, Data Modeling, Web Scraping, Data Warehouse, A/B Testing, Performance Management, Interpersonal Relationship, Teamwork and Collaboration, Marketing Performance Tracking. WORK EXPERIENCE

Senior Data & Business Intelligence Analyst Jun, 2023 – Nov 2024 Sterling Bank Plc – Lagos State

Partnered with the Chief Product Officer to lead data-driven strategies that strengthened continuity across digital products in E-business, investment, SME banking, renewable energy, and lending.

• Achieved 20% market share growth by leveraging CLTV models, cohort analysis, and funnel analytics to optimize user acquisition strategies and accurately measure campaign ROI.

• Boosted customer retention by 35% and product adoption by co-developing a predictive analytics solution for customer segmentation and churn modeling in collaboration with product and engineering teams.

• Drove a 30% growth in active users and an increase in loan disbursements on the renewable energy product by integrating geospatial data, repayment behavior, and energy usage patterns to optimize credit scoring models and target underserved segments.

• Accelerated business insights by building multi-layered dashboards and ad-hoc reporting frameworks. Leveraged data tools to streamline executive decision-making and track business-critical KPIs.

• Delivered a 25% increase in engagement and a lift in conversion rate by providing the marketing team with behavioral insights, market research, and competitor analysis, enabling personalized and targeted campaign strategies.

• Improved platform stability by 80% through the design and deployment of an enterprise Observability & Availability Dashboard, enabling real-time monitoring of infrastructure and application metrics to proactively detect anomalies and minimizing customer-facing disruptions.

Supply Chain/Data Analyst Nov, 2022 – Mar, 2023

Market Force Technologies - Kenya

• Improved inventory turnover ratio by 18% and reduced days sales of inventory (DSI) by analyzing SKU velocity, historical demand trends, and warehouse aging report across 50,000+ retail outlets. Enabled precise replenishment planning and reduced aging inventory across warehouses across the African retail ecosystem.

• Increased Order Fulfillment Rate (OTIF) to 92% and reduced stockout rate by developing real-time inventory and logistics dashboards using Power BI and Amazon QuickSight. Enabled logistics teams to proactively address supply gaps and monitor product availability, contributing to over $200M in sales transactions processed across East and West Africa.

• Boosted monthly revenue by 20% and customer retention by leading a customer success initiative grounded in supply chain intelligence. Used cohort analysis, fulfillment time modeling, and service-level insights to personalize support to high-value merchants and reduce churn from low-performing fulfillment zones. FEMI ISAAC ORITOGUN

************@*****.*** 070******** linkedin.com/in/femioritogun Lagos, Nigeria

• Enhanced logistics efficiency by identifying and reducing cost leakages in delivery routes and 3PL performance, leading to optimized supply chain operations through targeted analytics and KPI tracking.

• Improved forecast accuracy by 21% (MAPE reduction) by modeling demand fluctuations using historical sales, merchant behavior, and seasonal patterns reducing overstock and understock in key product categories. Data Analyst Feb, 2021 – Nov, 2022

Titan Trust Bank – Lagos, Nigeria

• Led the design of a self-service reporting systems, enabling business users to track real-time e-channel activity and customer behavior. This effort increased digital transaction volume by 15% and improved customer retention while reducing manual reporting time.

• Developed and automated credit risk asset performance across multiple loan types using SSIS-driven ETL pipelines, providing the business with real-time visibility into loan performance, resulting in a 12% reduction in NPLs.

• Developed customer cohort models in Power BI to analyze key behavioral metrics, including NPS, customer satisfaction, and agent performance, providing insights into high-value segments. These models facilitated data-driven strategies for customer acquisition and retention, resulting in a 10% increase in overall account profitability.

• Collaborated with the compliance team to ensure data-driven insights and reports met regulatory standards. Analyzed and tracked key compliance KPIs such as AML transaction monitoring, KYC compliance, and regulatory reporting adherence. This helped minimize risks, improve compliance monitoring, and ensured adherence to financial regulations.

• Utilized advanced customer segmentation techniques to identify dormant accounts and high-risk customers. Applied behavioral data analysis and predictive analytics to develop targeted re-engagement strategies, leading to the re- activation of 15% of dormant accounts and an increase in customer activity. Retail Operations Analyst Nov, 2018 – Dec, 2020

Access Bank Plc. – Lagos, Nigeria

• Collaborated with cross-functional teams to enhance customer service processes, leveraging CSAT surveys and NPS data to identify key areas for improvement, which led to a more responsive service model.

• Integrated transactions history into a unified system, enabling the development of personalized marketing campaigns and targeted product recommendations. This approach drove a 25% increase in customer conversion rates.

• Developed and implemented data-driven strategies to optimize cross-selling of banking products, leveraging customer segmentation insights and performance data, resulting in a measurable increase in cross-sell success.

• Automated reporting systems, consolidating data from branch operations, customer feedback, and transaction volumes into dynamic dashboards. This streamlined reporting process improved decision-making and operational efficiency. EDUCATION

Federal University of Agriculture, Abeokuta - B.Sc. Accounting (2017) CERTIFICATIONS

• Data Analyst Associate - Microsoft

• Efficiently Serving LLMs - DeepLearning.AI

• Introduction to Generative AI - Google

• Integrating AI and Machine Learning – LinkedIn

• Intermediate Python - Datacamp

• Microsoft Power Platform – Microsoft

• Data Modeling for Power BI – SQLBI

• Microsoft Azure Fundamental - Microsoft

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