Product Data Analyst

Harvey Performance Company

$85K — $100K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in data analytics or business analytics influencing decisions
  • Strong SQL skills with hands-on experience in live data environments
  • Experience using Python or R for analysis and automation
  • Proven experience building dashboards with tools like Power BI or Tableau
  • Ability to effectively present data insights to non-technical stakeholders

Responsibilities

  • Build product-level reporting and dashboards using SQL-based data sources
  • Define and align key metrics across product managers and lines
  • Translate complex data into actionable insights for senior stakeholders
  • Collaborate with product management to prioritize analytics work
  • Audit and enhance data quality, consistency, and documentation
  • Identify workflow optimization opportunities, including automation solutions
  • Establish data governance and consistent metric definitions

Benefits

  • Remote work flexibility, limited to Eastern or Central time zones
  • Occasional travel for collaboration
  • Opportunity to shape product performance metrics
  • Collaboration with senior stakeholders and leadership
  • Influential role in product strategy evaluation
Full Job Description
THE OPPORTUNITY

This is a newly created role focused on building a consistent, reliable view of product performance across multiple product lines. Today, that view doesn't fully exist, and this role is responsible for putting it in place.

You'll define the right metrics, build reporting, and help product managers make better decisions with data. There's room to shape how this comes together, but the priorities are clear.

You'll work closely with product leadership and present insights to senior stakeholders. This role sits close to decision-making and plays a key part in how product strategy is evaluated and prioritized.

IN THIS ROLE, YOU WILL:
  • Build product-level reporting and dashboards from the ground up using SQL-based data sources
  • Define and align key metrics across multiple product managers and product lines
  • Translate complex data into clear insights and present them to product leadership and senior stakeholders
  • Partner with product management to understand business questions and prioritize analytics work
  • Audit data sources and improve data quality, consistency, and documentation
  • Identify opportunities to streamline workflows and introduce automation or AI-driven solutions
  • Establish a foundation for data governance and consistent metric definitions across the product organization

YOU'LL BRING:
  • 5+ years of experience in data analytics or business analytics with clear examples of influencing business decisions
  • Strong SQL skills with hands-on experience working in live data environments
  • Experience using Python or R for analysis and automation
  • Proven ability to build dashboards in Power BI, Tableau, or similar tools
  • Experience presenting data and insights to non-technical stakeholders, including leadership
  • Ability to work across teams and drive alignment without formal authority

NICE TO HAVE:
  • Experience building analytics infrastructure in a new or evolving environment
  • Exposure to AI or low-code tools used for workflow automation or analytics
  • Background in manufacturing, industrial products, or B2B environments
  • Experience supporting product management teams or working across the product lifecycle
  • Experience evaluating or recommending new tools or platforms

WHERE YOU'LL WORK

This role is remote but limited to candidates located in the Eastern or Central time zones due to collaboration with U.S. and European teams. Occasional travel may be required.

Harvey Performance Company is headquartered in Rowley, MA.

The pay range for this position is $85k - $100k annually. This range reflects what the company reasonably expects to pay at the time of posting. Where an individual's pay falls within the range will depend on their skills, background, and performance.

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