Data Analyst I (US)

Payscale
8dRemote

About The Position

Our Data Development team consists of data and compensation analysts that maintain and enhance Payscales data offerings. We collaborate with product, engineering, and data science teams to create innovative data products for Payscale customers. Our standard tools include Microsoft SQL Server, Python, Snowflake, GIT and Excel. As part of our Data Development team, the Data Analyst I will: Lead product releases for a new international data product offerings using MS SQL Server, Snowflake, Python, and Excel Perform quality checks on compensation data to ensure accurate and timely product releases Collaborate with team members via Zoom to review and quality-check work Audit existing and create new company job matches to our proprietary data sets to improve the depth, breadth, and accuracy of our data products. Prepare files and partner with our Database Administrators to update our database tables. Research the current landscape and changes in the compensation landscape Opportunities to collaborate with other data and compensation analysts

Requirements

  • Bachelor’s degree in quantitative field (Statistics, Mathematics, Data Analytics, Economics, or related field)
  • 0-2 years of experience in a data analyst, BI analyst, or related role
  • A solid understanding of descriptive statistics (mean, median, percentiles, weighting)
  • Entry level experience in SQL both MS SQL and Snowflake syntax (comfortable with standard joins, filtering, basic calculations)
  • Proficiency in Excel (sorting, filtering, vlookup/xlookup)
  • Ability to work both independently and collaboratively on ambiguous projects and tasks
  • Exceptional attention to detail with strong organization and time management skills
  • Ability to effectively communicate and share results with both technical and non-technical partners

Nice To Haves

  • Familiarity with Python (basic debugging, updating file paths, setting up new configurations)
  • Familiarity with version control tools like Git
  • Experience or interest in the compensation industry or HR tech

Responsibilities

  • Lead product releases for a new international data product offerings using MS SQL Server, Snowflake, Python, and Excel
  • Perform quality checks on compensation data to ensure accurate and timely product releases
  • Collaborate with team members via Zoom to review and quality-check work
  • Audit existing and create new company job matches to our proprietary data sets to improve the depth, breadth, and accuracy of our data products.
  • Prepare files and partner with our Database Administrators to update our database tables.
  • Research the current landscape and changes in the compensation landscape
  • Opportunities to collaborate with other data and compensation analysts

Benefits

  • All around awesome culture where together we strive to live our 5 values: Data informed decision making. Customer first. Always. Succeed together. Relentless about results. Obsessed with excellence. Lead the change. Shape the standard.
  • An open and inclusive environment where you’ll learn and grow through programs and resources like: Monthly company All Hands meetings Regular opportunities for executive leadership exposure through things like AMAs Access to continued learning & development opportunities Our commitment to a continuous feedback culture which allows us to drive performance and career growth A growing network of Employee Resource Groups Company sponsored volunteer hours And more!
  • Flexible paid time off, giving you the opportunity to rest, relax and recharge away from work
  • 14 Paid Company Holidays, includes 2 floating holidays (you choose!)
  • A comprehensive benefits plan including medical, dental, life, vision, disability, and life insurance covered up to 100% by Payscale
  • Unlimited infertility coverage benefits through our medical plans
  • Additional supplemental health benefits offered to you and your family
  • 401(k) retirement program with a fully vested immediate company match
  • 16 weeks of paid parental leave for birthing and non-birthing parents
  • Health Savings Account (HSA) options and company contributions each pay period
  • Flexible Spending Account (FSA) options for pre-tax employee allocations
  • Annual remote work stipend to be used on wellness or home office equipment
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