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Olaonipekun Samuel

@olaonipekunsamuel

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Data analyst driving insights with SQL, Power BI, and efficient reporting.

Nigeria

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What I'm looking for

I seek a role where I can apply SQL and Power BI to deliver timely insights, improve reporting efficiency, and support cross-functional teams in a flexible remote or hybrid environment.

I am an analytical, detail-oriented Data Analyst with over three years of experience across fintech and administrative roles, focused on turning complex datasets into actionable business insights.

At Digital World I designed and automated SQL queries, built interactive Power BI dashboards, and collaborated with product and finance teams to identify fraud trends and improve decision-making.

Previously, I managed data entry and reporting at Eko Hotels and Suites with 99% data accuracy and supported freelance clients by cleaning and validating large datasets and creating standardized reporting templates.

I value efficiency and accuracy, have improved reporting processes by 30%, and am open to remote, hybrid, or on-site roles in finance, technology, and administration.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

Digital World

Jan 2024 - Present (1 year 8 months)

Designed and automated SQL queries and built Power BI dashboards to monitor KPIs and improve business decisions, streamlining reporting processes and improving efficiency by 30%. Collaborated with product and finance teams to analyze transactions and detect fraud trends.

Administrative Assistant

Eko Hotels and Suites

Jan 2021 - Jan 2024 (3 years)

Managed data entry and documentation achieving 99% data accuracy and prepared weekly and monthly performance reports to support management decision-making. Assisted in business analysis tasks including workflow documentation and requirements gathering.

Data Clerk

Freelance

Jan 2019 - Jan 2021 (2 years)

Entered, cleaned, and validated large datasets for clients while developing standardized reporting templates and supporting data preparation for analysis projects. Ensured high attention to detail and consistency across datasets.