Growth-Focused Marketing Analytics Lead

Nourish, Inc.

New York, Northern (NY, KY)

Hybrid

USD 140,000 - 200,000

Full time

5 days ago
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Job summary

Nourish, Inc. in New York is looking for a Marketing Analytics Lead to drive attribution, performance measurement, and channel optimization. You'll partner with the Marketing team to design Nourish's growth roadmap and learn how to acquire users more efficiently.

The role blends analytics engineering and strategic insights. You'll build clean, scalable data models, surface actionable insights, and work with Operations, Engineering, and Product; as an early data team member, you'll shape our

Qualifications

  • 5+ years owning analytics end to end at a fast-paced, high-growth company.
  • Deep expertise in analytics engineering, with strong SQL and data modeling fundamentals.
  • Curious, strategic, outcome-oriented and able to translate data into clear insights.
  • Builder who takes end-to-end ownership and creates scalable systems.
  • Communicate complex ideas clearly to both operations and engineering teams.

Responsibilities

  • Own the full analytics stack for business-critical functions—from raw data to dashboards and insights.
  • Deliver high-impact insights by partnering with stakeholders to identify growth and efficiency levers.
  • Build dashboards that drive action for a broad range of stakeholders.
  • Build and maintain a robust data foundation by partnering with Engineering to validate pipelines.
  • Champion a data-first culture by guiding teams to interpret data and document findings.

Skills

SQL
Analytics engineering
Data modeling
ETL pipelines
Ownership

Tools

dbt
Fivetran

Job description

Nourish, Inc. in New York is looking for a Marketing Analytics Lead to drive attribution, performance measurement, and channel optimization. You'll partner with the Marketing team to design Nourish's growth roadmap and learn how to acquire users more efficiently.

The role blends analytics engineering and strategic insights. You'll build clean, scalable data models, surface actionable insights, and work with Operations, Engineering, and Product; as an early data team member, you'll shape our

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