Financial Analyst

GAQ227R124 Databricks is looking for a Financial Analyst to join the Sales Finance team in the FP&A organization. You will report to the Senior Manager, Finance. The Sales Finance team's primary goal is to help Databricks continue optimizing investment for long-term growth through thoughtful analysis and improving visibility across the business. You will be a trusted advisor to Sales and Finance leadership, delivering insights and providing recommendations for driving sustainable growth. You will improve forecast reliability, enhance corporate reporting, establish processes, and scale our systems to help grow the business. You will analyze usage trends across products, track key performance metrics, and partner with sales strategy on executive-level presentations. The impact you will have: Analyze company performance against core KPIs and identify areas of potential risk and opportunities Build detailed empirical models from scratch to support financial recommendations Analyze daily usage trends across platforms, products, and business units and communicate insights for an executive-level audience Track the bookings pipeline and forecast impact on top-line financial performance Develop a deep understanding of Databricks’ business model to drive forecasts and business insights Partner with sales strategy and sales operations, and provide recommendations to finance leadership What we look for: Bachelor’s degree in Business, Economics, Accounting, Finance, or a comparable field 2+ years of corporate finance or management consulting and investment banking experience; familiarity with the software industry (and SaaS) a plus Experience in building financial models independently and preparing recommendations Solid understanding of Generally Accepted Accounting Principles (GAAP) Excellent analytical, organizational, and collaboration skills Experience simplifying and scaling while supporting a fast-moving, high-growth business Curiosity to learn and solve problems independently Ability to prioritize objectives in a fast-paced environment to ensure deliverables are met in a timely manner Expert in Excel/Google Sheets (can maintain complex spreadsheets); comfortable managing large datasets and driver-based models Prior experience using SQL or willingness to learn 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 . Zone 1 Pay Range $104,100 — $143,100 USD 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 . Zone 2 Pay Range $93,700 — $128,800 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 click here . 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.

{
  "content_hash": "155746277338e6ad41814af38b4f3e936852f78f9ad78c73ad6904b2cc62348c",
  "source_hash": "a5d8a6b83d4616cf535dac151ef240daf6b495e79b27d6346a388168e9684b76",
  "last_changed_at": "2026-05-29T22:42:59.954Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "Bellevue, Washington",
    "city": "Bellevue",
    "region": "WA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.85
  },
  "salary_max": 143100,
  "salary_min": 104100,
  "inferred_at": "2026-06-06T07:35:41.464Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Bellevue, Washington",
      "city": "Bellevue",
      "region": "WA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.85
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": "year",
  "workplace_type": null,
  "salary_currency": "USD"
}

{}

{
  "title": "Financial Analyst",
  "offices": [
    {
      "id": 4000514002,
      "name": "San Francisco, California",
      "location": "San Francisco, California",
      "child_ids": [],
      "parent_id": 4033534002
    }
  ],
  "language": "en",
  "location": {
    "name": "Bellevue, Washington; Mountain View, California; San Francisco, California; Seattle, Washington"
  },
  "metadata": [
    {
      "id": 9740521002,
      "name": "Company Assignment",
      "value": "Databricks, Inc.",
      "value_type": "single_select"
    },
    {
      "id": 24059030002,
      "name": "Career Page Posting Category",
      "value": [
        "Finance"
      ],
      "value_type": "multi_select"
    }
  ],
  "updated_at": "2026-05-28T22:37:21-04:00",
  "departments": [
    {
      "id": 4001272002,
      "name": "Finance",
      "child_ids": [],
      "parent_id": 4001019002
    }
  ],
  "company_name": "Databricks",
  "requisition_id": 6361001002,
  "first_published": "2026-02-17T21:04:46-05:00",
  "application_deadline": null
}