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Senior Analytics Engineer (Marketing)

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Onsite

Senior Analytics Engineer (Marketing)

Talkiatry

Senior Analytics Engineer (Marketing)

Skills

SQL QueriesLookerTableauData VisualizationSnowflakeDatabricksData Analysisdbt

2 months ago

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Important information


Contract type:

Permanent

Salary:

$150,000 – $175,000 / year

Location:

United States

Work mode:

Onsite

Published on:

29 August 2026

What they need


  • We are looking for a Senior Analytics Engineer to join our Data Team with a dedicated focus on Marketing
  • In this role, you’ll play a critical part in helping our Marketing team make data-driven decisions by creating data-driven solutions, using strategic context to develop success metrics, and providing valuable insights through clear, impactful data products and visualizations
  • As a senior member of the BI function, you will lead development efforts, drive best practices, and serve as a trusted advisor to cross-functional stakeholders, particularly with Marketing
  • Build and maintain clean, scalable data models and pipelines to support marketing analytics and reporting using tools like Snowflake, dbt, and Databricks
  • Collaborate closely with Marketing stakeholders to understand business goals and translate them into data requirements and insightful data products
  • Develop and maintain user-friendly BI solutions to monitor marketing performance, campaign effectiveness, and key KPIs
  • Build data models that match our robust data governance, data quality, and documentation
  • Lead the development of self-service analytics tools that empower Marketing team members to independently explore data
  • Drive the implementation of best practices in data modeling, performance optimization, and reporting workflows

Benefits

  • 401(k) match with match
  • Paid parental leave
  • Health insurance 100% covered on day one
  • Flexible location: Work remotely across the US or from our HQ in NYC
  • Generous PTO plus paid holidays- Basic experience or exposure to A/B testing and experimental analysis
  • Experience with modern data stack tools including Snowflake, dbt, and Databricks
  • Advanced SQL skills and a strong understanding of data modeling concepts
  • Strong understanding of data visualization principles and dashboard design
  • Proficiency in at least one BI tool such as Omni, Tableau, or Looker
  • Experience working cross-functionally with non-technical stakeholders
  • 5+ years of experience in Business Intelligence, Data Analytics, or a related role
  • Excellent communication skills and the ability to present insights clearly to all levels of the organization

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