Product Data Analyst

Posted 16 Days Ago
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Hiring Remotely in Data, Xuancheng Diqu, Anhui, CHN
Remote
Senior level
Software
The Role
Lead product analytics end-to-end: define KPIs, analyze user journeys and cohorts, measure feature impact, build dashboards and reports, and deliver actionable insights to drive growth, adoption, retention, and monetization.
Summary Generated by Built In
Description

We're looking for our first dedicated Product Data Analyst to join our BI & Analytics team – a unique opportunity to own the product analytics function.

In this high-impact role, you’ll partner closely with Product leadership to spearhead product analytics end-to-end – from defining KPIs and scoping analyses to delivering insights, dashboards, and strategic recommendations that drive product growth, customer adoption, and measurable business impact.

Responsibilities
  • Own product analytics across the user journey, including signup, activation, onboarding, adoption, retention, expansion, and churn.
  • Proactively identify product growth opportunities, adoption gaps, and customer journey friction points through deep analysis of product usage, funnels, and customer behavior.
  • Guide Product teams on resource allocation by identifying which products or initiatives should be scaled, optimized, deprioritized, or discontinued.
  • Analyze customer segments, usage patterns, conversion trends, retention impact, and PLG vs. SLG behavior to identify expansion opportunities and support product pricing strategy
  • Measure how feature launches, roadmap initiatives, experiments, and product changes influence customer behavior and key product/business metrics.
  • Partner with Product leadership to define and maintain product KPIs, metric definitions, event tracking requirements, and analytics documentation.
  • Build dashboards, recurring reports, and executive-ready analyses that provide visibility into product performance, segment health, and business impact.
  • Translate complex analyses into clear insights and actionable recommendations for Product, GTM, Finance, and executive stakeholders.
Requirements
  • 5+ years of experience in product data analytics from a SaaS company
  • Excellent SQL skills
  • Experience with BI tools (preferably Tableau)
  • Experience in DWH design and data modeling
  • Experience with Python
  • Experience with dbt and Git – advantage
  • Excellent analytical and problem-solving skills
  • Strong communication skills in Hebrew and English
  • Self-starter with the ability to work independently in a fast-paced environment

Skills Required

  • 5+ years of experience in product data analytics
  • Excellent SQL skills
  • Experience with BI tools
  • Experience in DWH design and data modeling
  • Experience with dbt
  • Experience with Python
  • Excellent analytical and problem-solving skills
  • Strong communication skills in Hebrew and English
  • Self-starter with ability to work independently in a fast-paced environment
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The Company
HQ: Netanya
Year Founded: 2014

What We Do

Bright Data is the world’s #1 web data platform, supporting the public data needs of over 20,000 organizations in nearly every industry. Our solutions are leveraged to fuel AI as well as research, monitor, and analyze web data for smarter decisions. Bright Data offers a complete web data platform, from award-winning proxy networks and AI-powered web scraping tools, to dynamically refreshed datasets, an unparalleled retail and e-commerce data intelligence suite, and fully managed data services. Making public web data accessible is essential to keeping markets openly competitive and providing different data types to power LLMs. As an industry leader, we are committed to defending public web data. Bright Data has proven that ethical and transparent scraping practices for legitimate business use and social good initiatives are legally sound. We are very proud to lead innovation in web data, with +5,500 granted patent claims.

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