Sr Analytics Engineer - GTM Strategy And Operations
SLSQ227R554 Sr Analytics Engineer - GTM Strategy and Operations While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. Role: As a Senior Analytics Engineer, you will be a critical partner to the Global GTM Strategy & Operations teams, providing the
What this role actually needs.
SLSQ227R554 Sr Analytics Engineer - GTM Strategy and Operations While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. Role: As a Senior Analytics Engineer, you will be a critical partner to the Global GTM Strategy & Operations teams, providing the Requirements: - Scale: You will build and manage relationships with stakeholders across the company but primarily with the GTM strategy and operations team - You have 4+ years of experience working as an Analyst / Data Engineer / Analytics Engineer with B2B sales, marketing, or finance data (GTM experience highly preferred). - You are data-savvy with 3+ years of SQL and 2+ years of Python experience. Familiarity with data ecosystems and BI tools (e.g., Databricks, PowerBI) is required. GitHub workflow and PySpark experience are a plus. - You have built for scale. You have experience building scalable and productionizable data models with best practices in mind. - You integrate AI into your daily workflow. You have hands-on experience using large language model tools (such as Claude or similar) to accelerate analytics work — from drafting and debugging code to synthesizing requirements and generating documentation. You're comfortable evaluating AI-generated outputs critically and iterating quickly. - You are passionate about applying AI to transform GTM teams . You bring experience in delivering AI-driven solutions and have the ability to design innovative use cases as well as structure data models and tables that are optimized for AI readiness. Company context: Databricks is the data and AI lakehouse platform used by the world's largest enterprises for analytics, ML, and generative AI.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Scale: You will build and manage relationships with stakeholders across the company but primarily with the GTM strategy and operations team
- You have 4+ years of experience working as an Analyst / Data Engineer / Analytics Engineer with B2B sales, marketing, or finance data (GTM experience highly preferred).
- You are data-savvy with 3+ years of SQL and 2+ years of Python experience. Familiarity with data ecosystems and BI tools (e.g., Databricks, PowerBI) is required. GitHub workflow and PySpark experience are a plus.
- You have built for scale. You have experience building scalable and productionizable data models with best practices in mind.
- You integrate AI into your daily workflow. You have hands-on experience using large language model tools (such as Claude or similar) to accelerate analytics work — from drafting and debugging code to synthesizing requirements and generating documentation. You're comfortable evaluating AI-generated outputs critically and iterating quickly.
- You are passionate about applying AI to transform GTM teams . You bring experience in delivering AI-driven solutions and have the ability to design innovative use cases as well as structure data models and tables that are optimized for AI readiness.
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Source: databricks.com · Source ID: 8479036002 · Confidence: 93/100 · Last checked: May 7, 2026
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