Most Loved Workplace® Certified Job

P2P Data & Automation Analyst

Most Loved Workplace® Certified Job

92% of candidates apply because they are a Most Loved Workplace®

San Francisco, California

Finance

About the Role

At Databricks, a Most Loved Workplace® certified employer in the Technology space, Democratizing data and AI for every organization worldwide.

<p data-pm-slice="1 1 []">While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.</p>

<p>Databricks is executing a multi-year Procure-to-Pay transformation spanning an expense management platform migration, the BrickBuy enterprise procurement portal, a managed services onboarding, and policy and process redesign initiatives. This role sits embedded within Procurement — not in a central IT or analytics function — and operates in accordance with the Finance Data Strategy governance framework to drive rapid P2P process transformation by designing, deploying, and scaling automation and data solutions directly within business workflows.</p>

<p>This is a builder role for someone who wants to own outcomes, not tickets: the person will sit inside the processes they are automating, ship working solutions in weeks rather than quarters, and carry them through adoption — pairing hands-on technical delivery with the change management discipline needed to make new ways of working stick.</p>

<p data-renderer-start-pos="2006"><strong data-renderer-mark="true">The impact you will have: </strong></p>

<ul>

<li><strong>Business process ownership. </strong>Own designated P2P sub-processes end to end — intake-to-PO, invoice exception handling, supplier onboarding, expense workflows — including process mapping, baseline metrics (cycle time, touch rates, exception volumes), and redesign. Act as the recognized process owner who is accountable for how the process performs, not just how it is documented.</li>

<li><strong>Requirements &amp; solution design. </strong>Translate pain points raised by requesters, approvers, buyers, and AP into structured requirements and solution designs. Work within the Finance Data Strategy governance framework for data definitions, source-of-truth alignment, access controls, and quality standards — solutions must tie to certified Finance data, not shadow datasets.</li>

<li><strong>Embedded automation. </strong>Design, deploy, and scale automations directly within business workflows and the systems where work actually happens (ZIP, SAP, NetSuite, expense platform, BrickBuy) — including AI/LLM-assisted triage, auto-routing, data enrichment, exception auto-resolution, and notification/nudge logic. Build in production-adjacent environments with appropriate guardrails rather than standalone tools users must remember to visit.</li>

<li><strong>Rapid iteration. </strong>Operate on a ship-measure-iterate cadence: release minimum viable automations in weeks, instrument them from day one, and refine based on usage data and user feedback. Maintain sandbox-to-production discipline consistent with Finance Data Strategy and SOX/control requirements.</li>

<li><strong>Data &amp; measurement. </strong>Build and maintain the P2P datasets, dashboards, and metrics that the transformation runs on — cycle time, Fast Pass performance, first-pass yield, policy compliance, automation coverage, and adoption rates — and report against them in existing operating rhythms (e.g., quarterly business reviews), with numbers that tie across reports and to source data.</li>

<li><strong>User adoption &amp; change management. </strong>Own the adoption of what you build. Design role-based training and enablement for affected requesters, approvers, and P2P operations staff; produce launch communications, FAQ/help content, and go-live announcements in a style consistent with executive reporting norms (concise, structured, blockers called out explicitly); run feedback loops with change champions across subsidiaries; and actively identify and mitigate resistance rather than assuming usage will follow deployment.</li>

<li><strong>Day-to-day prioritization. </strong>Run the intake and backlog for automation and data requests across Procurement: triage incoming asks, prioritize by value, effort, and risk, publish a visible roadmap, and make defensible trade-off calls daily — protecting capacity for transformation priorities while handling operational requests.</li>

<li><strong>Stakeholder engagement. </strong>Partner closely with Procurement operations, the Finance Data team, the CIO org, and managed services partners; represent Procurement in Finance Data Strategy governance forums; and ensure automation work lands coherently alongside parallel workstreams (expense platform migration, BrickBuy rollout, Global Procurement Policy adoption, managed services transition).</li>

</ul>

<ul>

<li>4–8 years in data analytics, process automation, or operations roles within P2P, procurement, or finance — with demonstrable examples of automations or data products you built, shipped, and scaled yourself.</li>

<li>Hands-on technical skills: SQL and Python (or equivalent), workflow and integration tooling (iPaaS, RPA, or native platform automation), and dashboarding/BI. Experience building on the Databricks platform and applying LLM/AI tooling to business workflows is a strong plus.</li>

<li>Working knowledge of P2P systems and data — ERP (SAP or NetSuite), procurement intake/orchestration platforms (ZIP or similar), and expense management tools — including how transactions, approvals, and master data flow between them.</li>

<li>Experience operating within a data governance framework: certified data sources, data quality standards, access controls, and audit/SOX considerations — comfortable moving fast without going around governance.</li>

<li>Change management fluency: track record of driving adoption of new tools or processes through training, communications, champion networks, and adoption metrics — not just deploying and moving on.</li>

<li>Strong prioritization judgment and stakeholder management: able to run a busy intake, say no with a rationale, and communicate crisply to audiences from frontline requesters to executives.</li>

<li>Experience in a high-growth, multi-entity organization (multiple subsidiaries/geographies) is a plus; formal change management certification (Prosci, ADKAR, or equivalent) or process improvement certification (Lean/Six Sigma) preferred but not required.</li>

</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>&nbsp;</p>

<p><strong>Pay Range Transparency</strong></p>

<p><span style="font-weight: 400; font-size: 14px;">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.&nbsp; 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 <a href="https://www.Databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>.<br></span></p>

<p>&nbsp;</p></div><div class="title">Zone 1 Pay Range</div><div class="pay-range"><span>$186,000</span><span class="divider">&mdash;</span><span>$255,750 USD</span></div></div><div class="pay-input"><div class="description"><p>&nbsp;</p>

<p><strong>Pay Range Transparency</strong></p>

<p>&nbsp;</p></div><div class="title">Zone 2 Pay Range</div><div class="pay-range"><span>$167,400</span><span class="divider">&mdash;</span><span>$230,250 USD</span></div></div><div class="pay-input"><div class="description"><p>&nbsp;</p>

<p><strong>Pay Range Transparency</strong></p>

<p>&nbsp;</p></div><div class="title">Zone 3 Pay Range</div><div class="pay-range"><span>$158,100</span><span class="divider">&mdash;</span><span>$217,350 USD</span></div></div><div class="pay-input"><div class="description"><p>&nbsp;</p>

<p><strong>Pay Range Transparency</strong></p>

<p>&nbsp;</p></div><div class="title">Zone 4 Pay Range</div><div class="pay-range"><span>$148,800</span><span class="divider">&mdash;</span><span>$204,600 USD</span></div></div></div><div class="content-conclusion"><p><strong>About Databricks</strong></p>

<p><span style="font-family: arial, sans-serif;">Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://www.linkedin.com/company/Databricks">LinkedIn</a>, <a href="https://x.com/Databricks">X</a>, <a href="https://www.youtube.com/@Databricks">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en">Instagram</a>.<br><br><strong>Benefits<br><br></strong></span>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 <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</a>.<br><br></p>

<p><strong>Our Commitment to Diversity and Inclusion</strong></p>

<p>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.</p>

<p><strong>Compliance</strong></p>

<p><strong><span style="font-weight: 400;">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.</span></strong></p></div>

Want to learn more about what it's like to work at Databricks? View our full profile.

Prefer to apply on the company's career site?

View Original Posting

Why This Is a Most Loved Workplace® Certified Job

Systemic Collaboration

As Databricks continues our rapid growth, we strive to maintain a culture as open and transparent as it was in Databricks’s early days. Making sure employees have regular access to our CEO and co-founders to hear directly about our vision and priorities helps our employees forge a connection between Databricks priorities and their daily work.

Positive Vision for the Future

Databricks’ culture principles are derived from an internal study of the behaviors that have led to high impact work at Databricks. These values have a direct impact on company culture and play a large part in connecting teams across the organization. We believe in being customer-obsessed, truth-seeking, operating from first principles, having a bias for action, and putting Databricks first. Our co-founders are fully involved in day-to-day operations, including business and technical reviews, working alongside our team members to ensure that we are always aligned with our values.

Alignment of Values

Databricks’ CEO and Co-founder, Ali Ghodsi leads by example with a focus on truth-seeking and first principles thinking, two of Databricks’ core values that stay true to Databricks’s origins in academia. He champions the importance of data and reason to question biases and inform decisions. Ali remains hands-on with research and development and hosts company-wide weekly all hands, with a CEO “ask me anytime” session at the beginning of every agenda. His transparency and accessibility are core to the open and collaborative culture of Databricks.

Respect

At Databricks, we cultivate an environment where all employees can bring their unique selves and are empowered to do the best work of their careers. To ensure all voices are heard and ideas are valued, we conduct annual culture and pulse surveys and host all-hands Q&As to collect feedback from all employees. We then report back to Databricks on the specific changes implemented from the feedback collected to ensure employees feel heard and that their feedback is valued. In addition, we invest in our seven Employee Resource Groups (ERGs) that offer support and employee engagement events for individuals from underrepresented backgrounds and allies.

Killer Outcomes

Databricks prioritizes offering an exceptional employee experience by investing in tools, workspaces, and community-building. Our collaboration-first, hybrid model offers flexibility with in-person touchpoints like our annual employee kickoff, weekly CEO all-hands with happy hours, and monthly team building budgets. We are especially focused on maintaining a culture of transparency, honesty, and trust, with leaders actively engaging across channels like Slack and all hands while also championing inclusion efforts through ERG sponsorship. These initiatives help our team feel connected, valued, and empowered to do their best work.

What It's Like to Work Here

zap Bias for Action

lightbulb First Principles Innovation

users Collaborative Excellence

target Truth-Seeking Rigor

compass Generational Mission Focus

Certified for: Global Top 100 Most Loved Workplaces®, Certified Most Loved Workplaces® 2025, Top 100 Most Loved Workplaces® 2025

Frequently Asked Questions About Working at Databricks

Common questions candidates ask about this role and Databricks's workplace

With the Data Intelligence Platform, Databricks democratizes insights to everyone in an organization. Built on an open lakehouse architecture, the Data Intelligence Platform provides a unified foundation for all data and governance, combined with AI models tuned to an organization’s unique characteristics. Now, anyone in an organization can benefit from automation and natural language to discover and use data like experts, and technical teams can easily build and deploy secure data and AI apps and products. With origins in academia and the open source community, Databricks was founded in 2013 by the original creators of the lakehouse architecture and open source projects Apache Spark™, Delta Lake, MLflow and Unity Catalog.

Please review the specific job listing or contact Databricks's recruiting team for details on remote or hybrid work options for this role.

Salary information may vary by role and location. Please check the specific job listing or discuss compensation during the interview process.

Databricks is an established organization in its industry. The company is a certified Most Loved Workplace®, highlighting a strong, positive culture and committed workforce.

Key benefit categories include: Health & Wellness, Work-Life Balance, Office & Lifestyle, Professional Development, Financial. You can view more details on their CertCheck profile.

The day-to-day environment is guided by core values such as Bias for Action and First Principles Innovation and Collaborative Excellence.

The company has committed to inclusive practices including: Customer Obsession with Integrity and Empowering Every Team Member.

They score particularly well in the area of Systemic Collaboration. They have earned Most Loved Workplace® certifications including: Global Top 100 Most Loved Workplaces® and Certified Most Loved Workplaces® 2025.

Databricks currently has 808 open positions. They are hiring across departments like Field Engineering - Other, Delivery Solutions Architects, Enterprise Sales. You can view all current openings at certcheck.mostlovedworkplace.com/companies/databricks/jobs.

The interview process typically involves an initial recruiter screen followed by team interviews. Please contact Databricks's recruiting team for specific details on this role's process.