P2P Data & Automation Analyst

Databricks
San Francisco
Workplace: OnsiteFull timeUSD 148,800 - 255,750 annuallyFunction: Data Analytics & Business IntelligenceExperience: 4-8 yearsSkills: ["Change management","Stakeholder management","Prioritization","Communication","Process ownership"]

Own end-to-end procure-to-pay (P2P) sub-processes and transform them with automation and data solutions embedded directly in business workflows. Translate P2P pain points into requirements and designs aligned to the Finance Data Strategy governance framework, build and measure dashboards/metrics, and drive rapid iteration from minimum viable automations to adoption. Partner across Procurement, Finance Data, CIO org, and managed services while managing intake, prioritization, and change enablement.

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FursaFursa
Databricks
Databricks
2 days ago

P2P Data & Automation Analyst

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Last checked: 6 hours agoStatus: Live

Job Summary

Own end-to-end procure-to-pay (P2P) sub-processes and transform them with automation and data solutions embedded directly in business workflows. Translate P2P pain points into requirements and designs aligned to the Finance Data Strategy governance framework, build and measure dashboards/metrics, and drive rapid iteration from minimum viable automations to adoption. Partner across Procurement, Finance Data, CIO org, and managed services while managing intake, prioritization, and change enablement.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Own designated P2P sub-processes end to end (intake-to-PO, invoice exception handling, supplier onboarding, expense workflows), including process mapping, baseline metrics, and redesign.
  • •Translate pain points into structured requirements and solution designs aligned to Finance Data Strategy governance for data definitions, source-of-truth, access controls, and quality standards.
  • •Design, deploy, and scale embedded automations within business workflows and systems (ZIP, SAP, NetSuite, expense platform, BrickBuy), including AI/LLM-assisted triage and exception auto-resolution.
  • •Release minimum viable automations on a ship-measure-iterate cadence, instrument from day one, refine using usage data and feedback, and maintain sandbox-to-production discipline with SOX/control requirements.
  • •Build and maintain P2P datasets, dashboards, and metrics (cycle time, Fast Pass performance, first-pass yield, policy compliance, automation coverage, adoption rates) and drive user adoption via training, communications, and feedback loops.

Pay and Benefits

Salary: USD 148,800 - 255,750 annually

Key Requirements

  • •4–8 years in data analytics, process automation, or operations roles within P2P, procurement, or finance, with examples of automations or data products you built and scaled.
  • •Hands-on technical skills in SQL and Python (or equivalent), plus workflow/integration tooling (iPaaS, RPA, or native platform automation) and dashboarding/BI; experience with Databricks and LLM/AI tooling is a plus.
  • •Working knowledge of P2P systems and data, including ERP (SAP or NetSuite), procurement intake/orchestration platforms (ZIP or similar), and expense management tools and master data flow.
  • •Experience operating within a data governance framework (certified data sources, data quality standards, access controls, audit/SOX considerations).
  • •Change management fluency, with a track record of driving adoption through training, communications, champion networks, and adoption metrics.
Experience:4-8 yearsProcure-to-pay (P2P)ProcurementFinanceProcess automationData governance
Skills:Change managementStakeholder managementPrioritizationCommunicationProcess ownership
Tech Stack:SQLPythonIPaaSRPADatabricksLLMAISAPNetSuiteZIPExpense management platformBrickBuy

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn