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Senior Data Engineer / Analyst

NewtonX

seniorpermanentdata United States 31 days ago via LinkedIn
180,000 - 220,000 USD/annual

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Tags

SQLdbtBigQueryPythonLookerMixpanelA/B TestingMarketing AttributionFunnel AnalyticsLLM Embeddings

About the role

Role overview

You’ll build the data foundation that powers NewtonX’s growth engine, working at the intersection of data engineering, analytics, and experimentation. The goal is to ensure growth initiatives are backed by clean, reliable, actionable data.

What you’ll do

Build infrastructure

  • Design and maintain data pipelines using SQL, dbt, and BigQuery to unify marketing, product, and operational data.
  • Own data quality and event tracking validation.

Power experimentation

  • Partner with Product to design and analyze A/B tests across acquisition and activation funnels.
  • Implement Mixpanel instrumentation for new experiments.

Drive insights

  • Own funnel reporting, attribution models, and campaign analysis.
  • Build Looker dashboards to guide where the team should focus next.

Enable AI-driven growth

  • Support integrations of LLM-enriched data models, embeddings, and similarity signals for improved targeting and segmentation.

Who you are (requirements)

  • 4+ years in Data Engineering, Analytics, or Growth Data roles (startup/marketplace experience is a plus).
  • Strong SQL, dbt, and Python skills.
  • Hands-on experience with BigQuery, Looker, and Mixpanel (or Amplitude/Tableau).
  • Deep understanding of funnel metrics, growth experimentation, and marketing attribution.
  • Ability to translate cross-functional questions into data deliverables.

Bonus points

  • AI/ML data workflows and experimentation tooling (Optimizely, LaunchDarkly).
  • Airflow experience.
  • PLG or marketplace analytics.
  • Paid channel attribution experience.

Compensation

  • $180K–$220K

About NewtonX

NewtonX is a B2B insights company that helps innovative organizations make high-stakes decisions with confidence. It combines a verified network of business professionals with AI-powered research tools to deliver faster, more precise, and more defensible research intelligence. Its clients include major technology and consumer brands such as Google, Microsoft, TikTok, and Stripe.

Scraped 6/28/2026