Sr Analytics Engineer - Gtm Strategy And Operations

Databricks Lakehouse

New York, United States
$133,000—$182,950 usd; not specified; not specifie...
On-site
Design and build scalable data models
Develop curated reporting tables and forecasts
Leverage databricks data intelligence platform
As a Senior Analytics Engineer, you will be a critical partner to the Global GTM Strategy & Operations teams, providing the data, AI driven insights, and infrastructure needed to drive efficiency and effectiveness across the organization

Job Summary

  • As a Senior Analytics Engineer, you will be a critical partner to the Global GTM Strategy & Operations teams, providing the data, AI driven insights, and infrastructure needed to drive efficiency and effectiveness across the organization.
  • You will design, build, and maintain scalable data models, curated reporting tables, forecasts, and dashboards that support everyone from senior executives to individual contributors, empowering them to make informed decisions and spend more time driving customer outcomes.
  • Working closely with cross-functional stakeholders—including Sales, Finance, Marketing, and other data teams—you will tackle complex data challenges by leveraging structured data, building AI-powered querying assistants, and using tools like Databricks Genie to improve data accessibility, streamline insights, and deliver actionable, reliable solutions across the business.

Matching Summary

As a Senior Analytics Engineer, you will be a critical partner to the Global GTM Strategy & Operations teams, providing the data, AI driven insights, and infrastructure needed to drive efficiency and effectiveness across the organization.

Salary

$133,000—$182,950 USD; Not specified; Not specified

Skills & Requirements

Must-have

  • Design and build scalable data models
  • Develop curated reporting tables and forecasts
  • Leverage Databricks Data Intelligence Platform
  • Build semantic layer for AI use cases
  • Partner with GTM Strategy & Operations teams
  • Use SQL and Python for data analysis

Nice-to-have

  • Experience with B2B sales, marketing, or finance data
  • Familiarity with GitHub workflow and PySpark
  • Critical evaluation of AI-generated outputs
  • Service-oriented mindset and curiosity

Key Requirements

  • 4+ years of experience as Analyst/Data Engineer/Analytics Engineer
  • 3+ years of SQL experience
  • 2+ years of Python experience
  • Experience building scalable data models
  • Hands-on experience with large language model tools

Work Rights

Not specified

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