Summary
Overview
Work History
Education
Skills
KEY ACHIEVEMENTS
COURSES
Timeline
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Adeola Oke

Lawrenceville,Georgia

Summary

Lead Data Analyst with 5 years of experience on leveraging SQL, Power BI, and Excel to deliver actionable insights and enhance data-driven decision-making. Proficient in creating interactive data visualizations and optimizing. data processes, contributing to improved operational efficiency and revenue growth. Committed to fostering a data-driven culture and aligning data strategies with business objectives, while continuously advancing skills in data warehousing and communication.

Overview

6
6
years of professional experience

Work History

Data Analyst

Syfan Logistics
Gainesville, GA
04.2024 - Current
  • Identify and remove corrupted data
  • Developed complex SQL queries to extract, aggregate, and analyze large datasets from relational databases (e.g. SQL Server, MYSQL)
  • Use statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for prediction of events
  • Prepare reports using Power BI when possible with SQL Databases, DAX query, Analysis Server
  • Partner with cross-functional teams to align data strategies with business objectives
  • Foster data-driven culture, empowering colleagues with actionable insights
  • Ensure data accuracy and integrity through meticulous quality control processes
  • Develop comprehensive documentation for data management protocols

Lead Data Analyst

Samsung
11.2022 - 02.2024
  • Analyzed large amounts of data in Excel to identify trends, patterns, signals and hidden stories within data
  • Created pivot tables and VLOOKUPS in Excel to join 2 data sets together and pull key components
  • Automated data cleansing processes using Excel VBA, reducing data cleaning time by 30%
  • Integrated SQL-based data quality checks, improving reporting accuracy by 25%
  • Wrote SQL scripts for business-critical reports and analyses, improving data accessibility and enabling faster decision-making
  • Built forecasting models using Power BI’s time intelligence functions, improving demand prediction accuracy by 20%
  • Mentored junior analysts, enhancing team skills in data visualization and analytical tools.

Data Analyst

Consult R
Atlanta, GA
04.2021 - 09.2022
  • Navigate master data, including creation, updates and deletion
  • Used TOAD for Oracle to generate reports and datasets for product sales and marketing improvements
  • Optimized SQL queries, reducing query execution time by 30% and improving report generation efficiency
  • Analyzed existing SQL queries to identify opportunities for improvements
  • Developed and maintained 50 Power BI and Tableau dashboards, supporting decision-making across multiple departments.
  • Designed a sales analytics dashboard that reduced manual reporting time by 85% and provided real-time insights.
  • Identifying key areas for improvements, such as audience, acquisition, behavior, and conversions, product sales by 11%

Data Analyst

Verizon
Marietta, GA
09.2020 - 02.2021
  • Analyzed data from 10000 monthly active users and used outputs to guide marketing and product strategies; increased average app engagement time by 2x, 12% decrease in dropout rate, and 2x shares on social media.
  • Built Power BI dashboard to visualize core business KPIs (e.g., Monthly Recurring Revenue), saving 10 hours per week of manual reporting work.
  • Collaborated with 4 interns to conduct attitude study, which led current buyers to purchase products 10% more frequently.

Education

Bachelor of Science - Computer Information Science

Georgia Gwinnett College
Lawrenceville, Georgia
12-2022

Skills

  • Microsoft Power BI
  • Tableau
  • Pivot Table
  • SQL
  • Power BI
  • Excel
  • Data analysis
  • DAX Query
  • Excel VBA
  • Databases
  • AWS
  • Python
  • Data Validation
  • Data Migration
  • Data Entry
  • Data Visualization
  • Data Cleaning

KEY ACHIEVEMENTS

  • Efficiency Improvement: Decreased manual reporting work by 10 hours monthly through Power BI utilization.
  • Data Process Automation: Automated data cleansing, reducing total cleaning time by 30% with Excel VBA.
  • Enhanced User Engagement: Analyzed user data leading to 2x increase in app engagement time and social shares.
  • Query Performance Boost: Optimized SQL queries, reducing execution time by 30% for improved report generation.

COURSES

Master Power BI Desktop for Business Intelligence by Maven Analytics

Timeline

Data Analyst

Syfan Logistics
04.2024 - Current

Lead Data Analyst

Samsung
11.2022 - 02.2024

Data Analyst

Consult R
04.2021 - 09.2022

Data Analyst

Verizon
09.2020 - 02.2021

Bachelor of Science - Computer Information Science

Georgia Gwinnett College