Staff Product Analyst

Harnham; United States; Remote; USD 190,000 - 240,000; Full time

Job summary

Join a fast-growing innovator in software development as a Staff Product Data Analyst. In this pivotal role, you'll shape product strategy through data, working closely with leadership to define metrics and deliver insights that drive impact. This opportunity allows you to influence next-generation developer tools and AI-powered products within a high-growth platform. If you're passionate about data and innovation, this role offers a chance to make a significant impact in the tech industry.

Benefits

Medical insurance

Vision insurance

401(k)

Qualifications

• 6+ years in product analytics, ideally in SaaS or tech.
• Expertise in SQL and proficiency in Python or R.

Responsibilities

• Define and build product metrics and dashboards.
• Conduct analyses into user behavior and performance.

Skills

SQL

Python

Data Analysis

Data Storytelling

Tools

dbt

Snowflake

Hex

Sigma

Omni

Fivetran

Kafka

Job description

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This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$190,000.00/yr - $240,000.00/yr

Direct message the job poster from Harnham

Senior Recruitment Consultant - Data Science (Phoenix) at Harnham

Staff Product Data Analyst

Remote in the United States

Must Be a Green Card Holder or US Citizen

$190,000 - $240,000 base + equity

About the Company

This company is a fast-growing innovator in the software development space, focused on streamlining how teams build, deploy, and scale modern web applications. With a strong presence in the developer ecosystem and a reputation for empowering product teams, they offer powerful tools and infrastructure that accelerate productivity and support cutting-edge use cases—including AI-enabled applications. Backed by significant funding and trusted by millions of developers, they continue to expand their impact at the intersection of technology, infrastructure, and innovation.

About the Role

As a Staff Product Data Analyst, you’ll play a critical role in shaping product strategy through data. You will partner closely with product leadership to define key metrics, perform deep product performance analysis, and deliver actionable insights that drive impact across the organization. This is an opportunity to work on a high-growth platform at scale, with the chance to influence next-generation developer tools and AI-powered products.

Role Responsibilities

• Define and build core product metrics and dashboards that empower product and executive teams.
• Conduct deep-dive analyses into user behavior and product performance to identify opportunities for optimization and innovation.
• Collaborate with product managers, designers, and engineers to inform roadmap decisions through data.
• Establish and scale visibility into product performance, user engagement, and adoption trends.
• Explore opportunities to apply light data science and modeling techniques to enhance product insights.
• Champion a modern data stack and contribute to the evolution of analytical capabilities across the org.

Key Skill Requirements

Must-Have Experience:

• 6+ years in a product analytics role, ideally within SaaS, developer tools, B2B, or consumer tech environments.
• Expertise in SQL with strong proficiency in Python or R for data analysis.
• Demonstrated ability to translate complex datasets into actionable product insights.
• Strong communication skills with the ability to influence product strategy through data storytelling.

Bonus Experience:

• Hands-on experience with modern data tools (e.g., dbt, Snowflake, Hex, Sigma, Omni, Fivetran, Kafka).
• Familiarity with open-source developer platforms or infrastructure products.
• Background working in high-growth, high-scale tech companies with a strong product-led culture.

Join a team where innovation moves fast, insights drive real decisions, and your work directly shapes the future of web and AI development.

If interested, apply to the role and reach out to Emma Spagnola at [e-mail] for a quick response.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst and Engineering

• Industries

  Technology, Information and Media and Software Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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