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Analyst - Data Governance

Wesco

Pittsburgh, Pennsylvania, United StatesOn Site

Original Job Summary

About the Analyst - Data Governance Role

As an Analyst - Data Governance at Wesco, you are responsible for hands-on execution and maintenance of our master data while enforcing policies and processes around data attributes. You will work with the business-enabling team handling customer, supplier, and product domain data.

Key Responsibilities

  • Monitor, validate, and execute data create and change requests accurately.
  • Identify, analyze, and resolve master data exceptions.
  • Conduct data quality audits and compile issues for review.
  • Perform statistical and relational analyses on large datasets.
  • Execute data cleansing, enrichment, and ERP upgrade testing cycles.
  • Participate in governance projects for process improvements.
  • Enforce data standards to maintain data cleanliness.

Qualifications

Bachelor’s degree required (Technology or Business preferred). Experience with Microsoft Office, Oracle ERP, and data handling is expected. Familiarity with master data management, data tools, and basic statistical analysis is advantageous. Excellent communication, detail orientation, and organizational skills are essential.

Key skills/competency

  • Data Governance
  • Master Data
  • Data Quality
  • Data Analysis
  • ERP
  • Oracle
  • Microsoft Office
  • Process Improvement
  • Statistical Analysis
  • Data Cleansing

How to Get Hired at Wesco

🎯 Tips for Getting Hired

  • Research Wesco's culture: Understand their mission, values, and projects.
  • Customize your resume: Highlight data governance and analysis skills.
  • Prepare for technical questions: Focus on master data and ERP experience.
  • Review past projects: Be ready to discuss data quality audits and adjustments.

📝 Interview Preparation Advice

Technical Preparation

Review master data management tools.
Practice ERP software scenarios.
Brush up on statistical data analysis.
Familiarize with data cleansing techniques.

Behavioral Questions

Demonstrate problem-solving in data issues.
Show teamwork during process improvements.
Highlight communication in audits.
Discuss handling multiple tasks efficiently.