Associate Data Analyst
@ United States Olympic & Paralympic Committee

Hybrid
$60,000
Hybrid
Full Time
Posted 24 days ago

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Job Details

Overview

Are you mission-driven and passionate about helping others succeed? The Associate Data Analyst at United States Olympic & Paralympic Committee plays a key role in advancing data integrity, modernizing data integration, and building a data-informed culture across departments.

Responsibilities

Data Integrity: Support data cleansing, validation, and automated audit reports; implement quality control measures; audit existing data sets.

Data Governance: Document key metrics, define data standards, and promote best practices across the organization.

Data Collection & Integration: Aggregate, clean, and integrate new data sources; assist in historic data migration and system integration.

Data Education & Consulting: Participate in Data Office Hours, create training tools, lead workshops, and translate business questions into actionable insights.

Tools & Conditions

  • Standard office equipment and computer
  • Office environment on a multi-building site
  • Domestic and international travel
  • Regular attendance required

Location & Work Arrangement

Work at Colorado Springs Downtown Headquarters with remote work options available.

Compensation & Benefits

Salary range: $56,000 - $65,000 per year. This is a Full-Time, Exempt position working 40 hours per week with eligibility for an Annual Incentive Award Program and USOPC benefits.

Key skills/competency

  • data integrity
  • data governance
  • data integration
  • data visualization
  • data cleansing
  • data migration
  • Tableau
  • SQL
  • Python
  • Power BI
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How to Get Hired at United States Olympic & Paralympic Committee

🎯 Tips for Getting Hired

  • Research United States Olympic & Paralympic Committee's culture: Understand their mission and values.
  • Customize your resume: Highlight analytical and data skills.
  • Prepare for technical interviews: Practice SQL, Python, Tableau, and Power BI.
  • Emphasize teamwork: Showcase collaborative data project experience.

📝 Interview Preparation Advice

Technical Preparation

Practice SQL queries using sample datasets.
Review Python coding for data analysis.
Familiarize with Tableau and Power BI.
Study data cleansing and validation techniques.

Behavioral Questions

Describe a challenging teamwork experience.
Explain handling tight deadlines under pressure.
Illustrate problem-solving in data projects.
Discuss overcoming data errors responsibly.

Frequently Asked Questions