Summary
Overview
Work History
Education
Skills
Timeline
Generic

Oluwafeyikemi Raufu

Dallas,TX

Summary

Goal-oriented data analyst successfully assists companies by developing and implementing updates to operational standards, team organization and employee engagement strategies. Proactive and personable leader with top-notch skills in streamlining information, prioritizing tasks and approaching issues with analytical mindset. Bringing years of experience and demonstrated track record of success.

Overview

4
4
years of professional experience

Work History

Data Analyst

Fannie Mae
Dallas, TX
05.2023 - Current
  • Managed diverse projects for data capture, storage and forecast analysis.
  • Designed automated ETL processes for efficient data extraction, transformation and loading in order to improve accuracy and reliability of reporting systems.
  • Maintained documentation of all the processes related to Data Analysis.
  • Created and designed business intelligence databases, spreadsheets or outputs.
  • Communicated with customers, competitors and suppliers to stay abreast of industry or business trends.
  • Identified or monitored current and potential customers using business intelligence tools.
  • Developed dashboards with Tableau to monitor key performance indicators.
  • Assessed programs to identify risks or problems to determine appropriate responses.
  • Collected, tracked and reviewed data to evaluate business and market trends.
  • Generated reports and obtained data to develop analytics on key performance and operational metrics.
  • Created predictive models to forecast customer behavior.
  • Audited initial datasets to confirm validity of imported data, corroborating changes against updates in data tapes.
  • Provided data-driven solutions to support decision making.
  • Identified needs of customers promptly and efficiently.

Data Analyst

Ally Financial Inc.
Dallas, TX
01.2021 - 04.2023
  • Planned and completed group projects, working smoothly with others.
  • Collaborated with cross-functional team to define features and build powerful and easy-to-use products and customer-facing workflow tools.
  • Worked successfully with diverse group of coworkers to accomplish goals and address issues related to our products and services.
  • Prioritized and organized tasks to efficiently accomplish service goals.
  • Collaborated with others to discuss new opportunities.
  • Maintained open communication with team members and stakeholders, resulting in successful project outcomes.
  • Maintained schedule of class assignments to meet deadlines.
  • Worked with cross-functional teams to achieve goals.
  • Achieved cost-savings by developing functional solutions to problems.
  • Maintained updated knowledge through continuing education and advanced training.
  • Exceeded customer satisfaction by finding creative solutions to problems.
  • Understood and followed oral and written directions.
  • Assisted with customer requests and answered questions to improve satisfaction.
  • Approached customers and engaged in conversation through use of effective interpersonal and people skills.
  • Displayed strong telephone etiquette, effectively handling difficult calls.
  • Modified existing software systems to enhance performance and add new features.
  • Leveraged [Software] skills to input and compile data gathered from various sources.
  • Answered [Number] calls per shift to assist with customer questions and concerns.
  • Recommended metrics and models based on observed trends.
  • Completed day-to-day duties accurately and efficiently.

Data Analyst

McDonald's
Houston, TX
09.2019 - 12.2020
  • Recommended metrics and models based on observed trends.
  • Worked with internal teams to understand business needs and changing strategies.
  • Optimized existing database structures for better performance on analytics tasks.
  • Audited internal data and processes to identify and manage initiatives, improving business performance.
  • Provided supporting information to substantiate research findings.
  • Disseminated information regarding tools, reports or metadata enhancements.
  • Identified and analyzed industry or geographic trends with business strategy implications.
  • Collaborated with stakeholders across the organization to understand their needs from a data perspective.
  • Collected, tracked and evaluated current business and market trend data.
  • Analyzed large datasets to identify trends, patterns and correlations for business insights.
  • Analyzed and tracked data to prepare forecasts and identify trends.
  • Leveraged software to compile and model data.
  • Gathered requirements from stakeholders to design data models and reports.
  • Performed quality assurance testing on newly developed reporting solutions.
  • Generated standard or custom reports summarizing business, financial or economic data.

Education

Bachelor of Science -

Texas Tech University
Lubbock, TX
08.2019

Skills

  • Technical Analysis
  • Process Improvement
  • Simulation Modeling
  • Data Modeling
  • Data Validation
  • Tableau
  • Data Analysis
  • Data Quality
  • Analytical Problem Solving
  • Database Programming and SQL
  • Python Programming
  • UNIX System
  • Attention to Detail
  • Clear and Concise Communication
  • SQL
  • Data Exports
  • Microsoft Visio
  • Data Screening

Timeline

Data Analyst

Fannie Mae
05.2023 - Current

Data Analyst

Ally Financial Inc.
01.2021 - 04.2023

Data Analyst

McDonald's
09.2019 - 12.2020

Bachelor of Science -

Texas Tech University

Similar Profiles

CREATE PROFILE
Oluwafeyikemi Raufu