Rapheal Adeleke
@raphealadeleke
Results-driven data analyst passionate about actionable insights.
What I'm looking for
I am a results-driven and detail-oriented data analyst with a strong commitment to transforming complex data into actionable insights that support strategic decision-making and drive business growth. My passion lies in exploring user behavior, building intuitive dashboards, and communicating findings through clear data storytelling. I am dedicated to fostering a data-driven culture, improving team productivity, and delivering measurable impact through collaboration, innovation, and analytical rigor.
In my current role as a Data Analyst at Pocketify, I analyze student payment data to identify low engagement and failed transactions, delivering insightful reports to departmental and faculty admins. My previous experience as a Data Analytics Intern at Amdor Analytics allowed me to conduct detailed data analysis that supported business decisions and improved operational efficiency. I utilized tools like Excel and Power BI to create compelling data visualizations and collaborated with cross-functional teams to ensure data accuracy and clarity for informed decision-making.
Experience
Work history, roles, and key accomplishments
Data Analyst
Pocketify
Sep 2023 - Present (1 year 10 months)
Analyzed student payment data across departments and levels to identify low engagement and failed transactions in Pocketify payment gateway. Delivered reports to departmental and faculty admins to track payment trends and student activity.
Data Analytics Intern
Amdor Analytics
Aug 2024 - Present (11 months)
Conducted detailed data analysis to support business decisions and improve operational efficiency. Utilized Excel and Power BI creating compelling data visualizations.
Education
Degrees, certifications, and relevant coursework
Federal University of Agriculture, Abeokuta (FUNAAB)
Bachelor of Science, Statistics
2021 - 2024
Relevant coursework in Time Series Analysis, Regression Analysis, Statistical Inference, Survey Sampling, Statistical Computing with R and SPSS.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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