SLSQ426R689
Sr Analytics Engineer - GTM Strategy and Operations
As a Senior Analytics Engineer, you will be a critical partner to the Global GTM Strategy & Operations and Field teams, providing the data, 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 IT, Finance, Marketing, and other data teams, you will tackle complex data challenges, improve data accessibility, and deliver solutions that bring clarity and visibility to the business. You will also play a key role in advancing our newly created AI initiatives and semantic data curation efforts, helping to establish a strong foundation for advanced analytics, automation, and scalable business intelligence.
The impact you will have:
- Build: You will develop analytic tools including dashboards, tables, analyses, and models that will be used by hundreds of employees in the field (technical and non-technical sales) as well as leaders across the globe
- Project Manage: You will both manage the requirements gathering and lead execution of strategic analytic projects
- Relationships: You will build and manage relationships with stakeholders across the company but primarily with the GTM strategy and operations team
- Use Databricks: You will work everyday with a variety of data using Databricks’ Data Intelligence Platform
What we look for:
- You have 3+ years of experience working as an Analyst / Data Engineer / Analytics Engineer with B2B sales, marketing, or finance data (GTM experience highly preferred).
- You are technical and fluent in data. You have advanced knowledge (3+ years) of SQL and intermediate to advanced knowledge (2+ years) of Python. You also have experience with BI tools (e.g Databricks AI/BI, Streamlit). Github workflow experience and PySpark knowledge are a plus.
- 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.
- You thrive in partnership with the business. You understand how the business works and how your work impacts the wider GTM team. You seek to understand the “why” behind the requests that you receive and create innovative solutions for business problems. You have a proven track record of working cross-functionally and building strong partnerships with a wide range of stakeholders.
- You excel in a collaborative environment. You translate team member needs into clear tasks and deliverables for contributors. You work through dependencies, bottlenecks, and tradeoffs with ease. You have a service-oriented mindset. You are curious, creative, and kind.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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