Jobs
Benefits & Perks
•Equity
•Equity
Required Skills
SQL
Business Intelligence
Data analysis
Tableau
PowerBI
Communication
GAQ227R116
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 so our customers can use deep data insights to improve their business.
As a People Analytics 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.
Impact You’ll Have:
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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.
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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.
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SME Partnership: Act as a thought partner to company leaders, translating workforce intelligence into actionable insights that will impact the performance of all Bricksters.
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Advanced Analytics: Execute complex analysis - including basic forecasting using time-series data - to predict trends in hiring, retention, or employee engagement.
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Strategic Communication: Convert recurring analysis requests into self-service tools, enabling leaders to make data-driven decisions independently.
Who You Are:
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Education: Currently pursuing an MBA with a graduation date in Spring 2027.
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Experience: 3–5 years of professional experience in Business Intelligence, People Analytics, Management Consulting, or a highly analytical operations role.
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Technical Skills: You have advanced skills in BI tools (e.g., Tableau, PowerBI) and a strong grasp of SQL. You understand how systems relate to business processes.
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Ambiguity Navigator: You can recognize and effectively navigate ambiguity with limited direction, turning "messy" data into a clear narrative.
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Business Acumen: You can identify data gaps in operational processes and propose solutions to close them.
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Clear Communicator: You are an excellent communicator, with an ability to synthesize complex information into clear, insightful takeaways and action-oriented recommendations.
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Culture Champion: You are ready to collaborate closely with colleagues and network across functional areas to foster Databricks' cultural values.
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 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**
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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About Databricks

Databricks
Series IDatabricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.
6,000+
Employees
San Francisco
Headquarters
$43B
Valuation
Reviews
4.2
9 reviews
Work Life Balance
3.5
Compensation
4.7
Culture
4.3
Career
4.5
Management
4.0
86%
Recommend to a Friend
Pros
Working on industry-leading data and AI platform
Excellent compensation with high equity upside
Strong engineering culture with Apache Spark creators
Cons
High intensity work environment with demanding deadlines
Work-life balance can suffer during key releases
Growing pains as company scales rapidly
Salary Ranges
25 data points
Mid/L4
Senior/L5
Director
Mid/L4 · Global Mobility Operations Manager
2 reports
$149,582
total / year
Base
$130,071
Stock
-
Bonus
-
$144,210
$154,953
Interview Experience
9 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Offer Rate
22%
Experience
Positive 22%
Neutral 67%
Negative 11%
Interview Process
1
Application Review
2
Recruiter/Phone Screen
3
Technical Interview/Coding Round
4
System Design Interview
5
Behavioral Interview
6
Final Round/Hiring Manager Interview
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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