MBA Intern - Workforce Intelligence

GAQ
227R116

At Databricks, we are passionate about helping data teams solve the world's toughest problems – from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform, enabling customers to use deep data insights to improve their business.

As a Workforce Intelligence MBA intern, you’ll drive insights and impact across our People (HR) function and all of Databricks. During your 12‑week internship, you'll work on impactful projects that drive decisions about how we hire, train, enable, assess, and coach Bricksters – and more. You’ll apply a current‑state lens to People processes as they exist today while helping to transform our future.

Successful interns may have opportunities for full‑time employment in the following year.

Throughout the internship, you’ll be mentored by a dedicated sponsor and have the opportunity to connect with senior leaders across the organization.

• Drive Execution: Own the end‑to‑end outcome for at least one major team‑wide initiative (e.g., optimizing a specific People practice or workstream) from data gathering to executive recommendation.
• Technical Excellence: Develop and enhance our data foundation by building advanced BI dashboards, AI‑first conversational interactions, and automated solutions that are scalable and maintainable.
• SME Partnership: Act as a thought partner to company leaders, translating workforce intelligence into actionable insights that will impact the performance of all Bricksters.
• Advanced Analytics: Execute complex analysis – including basic forecasting using time‑series data – to predict trends in hiring, retention, or employee engagement.
• Strategic Communication: Convert recurring analysis requests into self‑service tools, enabling leaders to make data‑driven decisions independently.

• Education: Currently pursuing an MBA with a graduation date in Spring 2027.
• Experience: 3–5 years of professional experience in Business Intelligence, People Analytics, Management Consulting, or a highly analytical operations role.
• Technical
  
  Skills:
  
  Advanced skills in BI tools (e.g., Tableau, Power
  
  BI) and a strong grasp of SQL. You understand how systems relate to business processes.
• Ambiguity Navigator: You can recognize and effectively navigate ambiguity with limited direction, turning “messy” data into a clear narrative.
• Business Acumen: You can identify data gaps in operational processes and propose solutions to close them.
• Clear Communicator: Excellent communicator, with an ability to synthesize complex information into clear, insightful takeaways and action‑oriented recommendations.
• Culture Champion: Ready to collaborate closely with colleagues and network across functional areas to foster Databricks’ cultural values.

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipates 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.

SF Bay Area Hourly Rate: $40–$40 USD

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.

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