Summary
Overview
Work History
Education
Skills
Timeline
Generic

EKENEDILICHUKWU IKENEME

Arlington

Summary

Experienced data analyst with a track record of 4 years, specializing in extracting insights from extensive datasets to enhance spend efficiency across organizations. Successfully spearheaded the adoption of a new data analysis system, resulting in a 15% decrease in errors and a 20% enhancement in data accuracy. Skilled in collaborating with diverse teams and consistently delivering projects punctually and within budget.

Overview

3
3
years of professional experience

Work History

Business Intelligence Analyst

Pbssystems
09.2022 - Current
  • Implemented SQL queries to analyze dealership data, resulting in a 20% reduction in processing time for warranty claims.
  • Developed Python scripts to automate data tracking processes, leading to a 30% increase in efficiency in monitoring car repairs and appointments.
  • Utilized R programs to analyze trends in dealership performance, resulting in a 25% improvement in identifying areas for revenue growth.
  • Created comprehensive dashboards to track technician productivity, resulting in a 15% increase in service efficiency.
  • Collaborated with software development teams to integrate data analytics solutions into the PBS SYSTEMS platform, resulting in a 10% increase in user satisfaction.
  • Received recognition for outstanding performance, including quarterly awards for contributions to data-driven decision-making and process optimization within the company.

Junior Data Analyst

Henry Schein One
07.2021 - 08.2022
  • Leveraged SQL to query and manipulate large datasets, reducing data processing time by 30%.
  • Utilized Excel to analyze and visualize financial data, leading to a 25% increase in accuracy in financial reporting.
  • Developed Python scripts to automate data cleaning processes, resulting in a 40% reduction in manual data entry errors.
  • Created interactive dashboards in Tableau, improving data visualization effectiveness by 35% and facilitating quicker decision-making.
  • Implemented predictive analytics models using Python, resulting in a 20% improvement in forecasting accuracy.
  • Collaborated with cross-functional teams to integrate data analytics solutions into software products, leading to a 15% increase in customer satisfaction.
  • Received recognition for outstanding performance, including Employee of the Month awards, for contributions to data-driven decision-making and innovation.

Education

BBA: Bachelors Business Information Systems - Data Management

The University of Texas - 701 S Nedderman Dr
Arlington, TX
05.2020

Skills

  • Python Programming
  • SQL Databases
  • Analytical Skills
  • Effective Communication
  • Data science research methods

Timeline

Business Intelligence Analyst

Pbssystems
09.2022 - Current

Junior Data Analyst

Henry Schein One
07.2021 - 08.2022

BBA: Bachelors Business Information Systems - Data Management

The University of Texas - 701 S Nedderman Dr

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EKENEDILICHUKWU IKENEME