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Product Analytics Engineer Jobs (NOW HIRING)

Eightelevengroup

Product Analytics Engineer

Manhattan, NY · On-site

$60 - $75/hr

Senior Product Analytics Engineer New York, NY Hybrid Role $60 - $75 per hour (dependent on years of experience) ABOUT THE ROLE Our client, a Fortune Broadcast Media & Entertainment organization, is ...

NOUS RESEARCH

Product Analytics Engineer

New York, NY · On-site

As a Product Analytics Engineer at Nous Research, you'll own the measurement systems that help us understand how users interact with Hermes Agent. You'll build the analytics foundation across our ...

Renesas Electronics Corporation

We are looking for a highly technical Senior Analytics Engineer to own and evolve our end-to-end product analytics platform. This role is responsible for the complete analytics data lifecycle ...

Harvey

Senior Analytics Engineer, Product

New York, NY · On-site

$155K - $233K/yr

Role Overview We're looking for a versatile Senior Analytics Engineer focusing on Product to architect event data models that power decision-making at Harvey. With product-market fit already proven ...

Klaviyo Inc.

Analytics Engineer

Boston, MA · On-site

Analytics Engineer Product Boston, MA At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day.

Klaviyo

Analytics Engineer

Boston, MA · On-site

Our Analytics Engineering team sits within a hub-and-spoke model, partnering closely with Go-To-Market (GTM), Product, Engineering, and Business Intelligence teams to build scalable, trusted data ...

Angi

Staff AI Product Analyst

Partner with business leaders, the Principal Analytics Engineer, and data engineering teams to ... product analytics, data science, or technical product management within a complex, high-scale ...

Angi

Staff AI Product Analyst

Denver, CO · Remote

Partner with business leaders, the Principal Analytics Engineer, and data engineering teams to ... product analytics, data science, or technical product management within a complex, high-scale ...

Protingent

Product Analytics

Santa Clara, CA · On-site

$60 - $64/hr

Product Analytics Position Description : Protingent Staffing has an exciting contract Product ... Protingent is an Award-Winning provider of top-tier Engineering and IT talent, trusted by companies ...

Klaviyo

Analytics Engineer

Boston, MA · On-site

Our Analytics Engineering team sits within a hub-and-spoke model, partnering closely with Go-To ... Partner with Sales, Product, and Analytics teams to create holistic views of the customer and ...

Esri

Product Analyst

Redlands, CA · On-site

Contribute to the maturation of analytics engineering practices within Product Analytics, including scalable dataset design, metric logic, and operational support for analytical data assets * Apply ...

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Product Analytics Engineer information

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How much do product analytics engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for product analytics engineer in the United States is $144,072.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $205,000.00 per year, depending on experience, location, and employer.

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Product Analytics Engineer

Manhattan, NY • On-site

Eightelevengroup
See more jobs at Eightelevengroupexternal

$60 - $75/hr

Other

Posted 10 days ago

Job description

Senior Product Analytics Engineer

New York, NY

Hybrid Role

$60 - $75 per hour (dependent on years of experience)

ABOUT THE ROLE

Our client, a Fortune Broadcast Media & Entertainment organization, is seeking a Senior Product Analytics Engineer for a 6-month hybrid contract in New York, NY. You will join a 5-person contract team augmenting the Product Analytics & Experimentation organization, working hands‑on within a 2-person agile pod. In this role, you will embed into one product workstream at a time, building three foundational analytics tools—a Databricks Metrics View, a Workstream Scorecard, and an AI Analytics Agent to a defined done bar before rotating to the next workstream. The position emphasizes metrics-as-code, version control, CI/CD, and AI agent benchmarking, focusing on analytics engineering rather than dashboard production. You will report to the Analytics Engineering Manager, partner closely with Data Engineering, and influence Product, Engineering, and Design stakeholders across each workstream. This opportunity offers high‑impact work in a collaborative environment, with ownership over deliverables and the chance to influence analytics best practices across multiple product workstreams, powering product decision‑making for a major streaming platform.

WHAT YOU'LL DO
  • Implement metric, cohort, and segment definitions in the Databricks Metrics View on Unity Catalog using metrics-as-code practices—including PRs, code reviews, and version control.
  • Build Workstream Scorecard templates and pipelines that connect goals, drivers, and KPIs with daily/weekly refresh cycles.
  • Develop and benchmark the AI Analytics Agent: build eval sets and ground‑truth Q&A pairs, run accuracy and regression tests, and manage dev‑to‑prod promotion through CI/CD workflows.
  • Co‑own Data Engineering intake within assigned workstreams: identify tagging gaps, validate raw events, document fixes, and track issues to resolution.
  • Partner with workstream PMs, engineers, and designers to translate business questions into measurable metrics and agent benchmark cases.
  • Document metric logic, cohort definitions, and known data quality issues in a version‑controlled environment to support clean handoff to internal analytics teams.
  • Collaborate with the Analytics Engineering Manager to harden pod delivery patterns and ensure consistency as the team rotates across workstreams.
WHAT YOU BRING
  • 5+ years of experience in product analytics, data analytics, or analytics engineering.
  • Advanced SQL skills with experience querying large‑scale event or behavioral data.
  • Hands‑on experience with Databricks and Unity Catalog; familiarity with metrics-as-code tools (e.g., dbt, Cube, MetricFlow).
  • Proficiency in Python and Git-based CI/CD workflows, including PRs, code review, automated testing, and dev/prod promotion.
  • Experience documenting and benchmarking LLM or agent outputs, including eval sets, ground‑truth Q&A pairs, and regression testing.
  • Strong fluency in product metrics (engagement states, retention, funnels, cohorts, DAU/WAU/MAU).
  • Ability to operate independently within a small pod and rotate cleanly across workstreams.
  • Exposure to experimentation/A/B testing (preferred).
  • Background in streaming, media, or consumer subscription (preferred).
  • Familiarity with Tableau or similar BI tools as a downstream consumer of the metrics layer (preferred).
WHAT'S IN IT FOR YOU
  • Hands‑on analytics engineering role at a Fortune Broadcast Media & Entertainment organization—building foundational tools that will power product decision‑making across a major streaming platform.
  • Unique opportunity to work at the intersection of metrics engineering, AI agent benchmarking, and product analytics in an agile, pod‑based delivery model.
  • Collaborative team environment with real ownership over your workstream deliverables and a clear path from development to production.
  • 6‑month contract with high‑visibility work and meaningful impact on the analytics infrastructure of one of the most recognized streaming platforms in the world.
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