Senior Analytics Engineer - GTM Strategy and Operations

1w1 week ago

Databricks

San Francisco, US · Full-time · $133,000 – $182,950

About this role

As a Senior Analytics Engineer, you will be a critical partner to the Global GTM Strategy & Operations teams. You will provide the data, AI driven insights, and infrastructure needed to drive efficiency and effectiveness across the organization. This role empowers informed decisions from senior executives to individual contributors.

You will design, build, and maintain scalable data models, curated reporting tables, forecasts, and dashboards. Working with cross-functional stakeholders like Sales, Finance, Marketing, and data teams, you will tackle complex data challenges. Leverage structured data, build AI-powered querying assistants, and use tools like Databricks Genie to improve accessibility.

You will work hands-on with diverse datasets using Databricks’ Data Intelligence Platform. Manage relationships primarily with the GTM strategy and operations team while architecting strategic analytic projects. This collaborative environment spans thousands of field employees and leaders worldwide.

Advance newly created AI initiatives and semantic data curation efforts to establish foundations for advanced analytics and automation. Deliver actionable, reliable solutions that streamline insights across the business. Empower teams to spend more time driving customer outcomes.

Requirements

4+ years of experience working as an Analyst / Data Engineer / Analytics Engineer with B2B sales, marketing, or finance data (GTM experience highly preferred)
3+ years of SQL and 2+ years of Python experience with familiarity in data ecosystems and BI tools (e.g., Databricks, PowerBI)
GitHub workflow and PySpark experience are a plus
Experience building scalable and productionizable data models with best practices
Hands-on experience using large language model tools (such as Claude or similar) to accelerate analytics work
Comfortable evaluating AI-generated outputs critically and iterating quickly
Experience delivering AI-driven solutions and designing innovative use cases optimized for AI readiness
Track record of cross-functional collaboration and strong stakeholder relationships

Responsibilities

Design and develop analytic tools, including a semantic layer for AI use cases, scalable data models, and curated tables
Build insightful analyses that empower thousands of field employees and leaders worldwide
Work hands-on with diverse datasets leveraging Databricks’ Data Intelligence Platform
Manage requirements gathering and lead execution of strategic analytic projects
Build and manage relationships with stakeholders across the company, primarily GTM strategy and operations
Build AI-powered querying assistants and use tools like Databricks Genie to streamline insights
Maintain scalable data models, curated reporting tables, forecasts, and dashboards
Advance AI initiatives and semantic data curation efforts for scalable business intelligence