FEMI ALEYEMI
Experienced Data Analyst
Abuja, NG.About
Highly accomplished Data Analyst with over 5 years of experience in leveraging data management, predictive modeling, and advanced analytics to drive strategic business decisions. Expert in Python, SQL, and R, with a strong command of data visualization tools (Tableau, Power BI) and the development of AI-driven analytics and econometric models. Proven ability to translate complex datasets into actionable insights, optimize processes, and lead cross-functional initiatives for significant business growth and efficiency. Adept at data governance, team training, and fostering data-driven cultures.
Work
Summary
Led complex data analysis initiatives, developing advanced predictive models and robust data pipelines to deliver actionable insights that drove significant business growth and operational efficiency for clients.
Highlights
Managed and processed large, complex datasets from diverse structured and unstructured sources, ensuring data integrity and readiness for strategic business insights.
Engineered and deployed over 100 automated data pipelines, streamlining data transformation processes to meet specific client analytical needs and enhance efficiency.
Designed, developed, and maintained advanced predictive models for market trend analysis, customer segmentation, and precise financial forecasting.
Developed compelling interactive dashboards and data visualizations using Tableau and Power BI, enabling data-driven decision-making across departments and client organizations.
Delivered critical statistical analysis and data-driven insights for client acquisition strategies, directly contributing to over 100% customer growth within six months.
Spearheaded the deployment of robust data infrastructure for clients, ensuring data integrity, security, and full regulatory compliance.
Provided comprehensive training to internal teams and clients on dashboard interpretation, predictive analytics, and effective data storytelling, significantly enhancing organizational data literacy.
Summary
Drove business expansion through strategic market analysis and data-informed recommendations, optimizing product development and market positioning.
Highlights
Executed comprehensive market research and competitive analysis to identify strategic business development opportunities and inform growth strategies.
Authored insightful reports and presented data-driven recommendations that influenced product development and optimized market positioning strategies.
Partnered with management to integrate key data insights into overarching business expansion strategies, fostering a data-informed approach to growth.
Summary
Managed customer service operations, leading a team to enhance efficiency and customer satisfaction through strategic process improvements.
Highlights
Managed and mentored a customer service team, overseeing daily support for over 30 customers and ensuring consistently high service standards.
Initiated and facilitated cross-functional collaborations to enhance operational efficiency and elevate overall customer satisfaction metrics.
Identified and implemented critical process improvements, achieving a significant 50% reduction in service turnaround time.
Languages
English
Fluent
Hausa
Fluent
Yoruba
Fluent
Spanish
Conversational
Certificates
Skills
Programming Languages
Python, R, SQL.
Cloud Platforms & Tools
Azure, GCP, BigQuery, dbt.
Data Modeling & Analytics
Predictive Modeling, Machine Learning (Clustering, Decision Trees, Neural Networks), Financial Modeling, Econometrics, Risk Analysis, Statistical Analysis, AI-driven Analytics.
Data Visualization & Reporting
Tableau, Power BI, Power Query, Power Pivot, Interactive Dashboards, Data Interpretation, Data Storytelling.
Data Engineering & Management
ETL, Data Pipelines, Large Dataset Management, Data Cleaning, Data Processing, Data Integrity.
Business & Leadership
Data-driven Decision Making, Cross-functional Team Collaboration, Market Research, Competitive Analysis, Process Improvement, Data Governance, Client Acquisition Strategy, Team Training.