MBA Intern - Strategic Finance at Databricks Canada ULC

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

12 May, 26

Salary

40.0

Posted On

11 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Strategic Finance, Data Reporting Foundation, Dashboard Implementation, Business Performance Visibility, Senior Leadership Presentation, Financial Insights Translation, Complex Problem Solving, Data Gathering, Executive Decision-Making, Creative Solutions, Data Analysis, Stakeholder Collaboration, Enterprise Software Understanding, Databricks Products Usage, Modern Analytics Tools, SQL

Industry

Software Development

Description

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 Strategic Finance MBA Intern, you will join our world-class finance team to drive insights and impact across Databricks. During your 12 week internship, you'll work on impactful strategic finance projects,. Your work will provide valuable insights to leadership, helping drive data-driven decisions. Successful interns may have opportunities for full-time employment in these functions the following year. Throughout the internship, you will be mentored by a dedicated sponsor and have the opportunity to connect with senior leaders across the organization. Impact you will have Develop and enhance our data and reporting foundation, implementing cutting-edge dashboards and tools that provide visibility into key operating metrics and improve business performance Present findings to senior leadership within both Finance, Sales, and Product, highlighting key trends and translating financial insights into actionable decisions Solve complex problems analytically, gathering and summarizing large datasets to drive efficient executive decision-making Find creative solutions for data challenges and translate complex analyses into clear, easy-to-understand narratives and presentations Collaborate with team members and stakeholders across multiple functions including Sales, Product, Engineering, Finance, and Data Science Build an understanding of enterprise software business problems while developing career-relevant skills using Databricks products and modern analytics tools Who You Are: You will graduate in Spring 2027 from an MBA program. You have 3-5 years of previous professional experience in management consulting, investment banking, strategy, operations, business analysis, or related fields. You demonstrate an advanced ability to define and break down ambiguous and complex business problems with limited guidance You are an excellent communicator (written and oral), with an ability to synthesize complex information into clear, insightful takeaways and action-oriented recommendations You are adept at using technology to streamline / optimize business deliverables You put the team before yourself and are willing to get hands-on, no matter how small the task Previous experience in enterprise software preferred. Previous experience with SQL preferred. 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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Responsibilities

The intern will develop and enhance the data and reporting foundation by implementing cutting-edge dashboards and tools to provide visibility into key operating metrics and improve business performance. They will also present findings to senior leadership across Finance, Sales, and Product, translating financial insights into actionable decisions.