Job Title:
Data Product Owner
Location:
Palo Alto, CA
Job Type:
Full-time, 3-months, On-Going Contract, W2
Schedule:
Monday – Friday, Hybrid (3 days/week)
Pay Range:
$48.49 – $56.34 per hour
Visa sponsorship is not available now or in the near future.
Job Description:
Key Responsibilities
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Serve as the primary analytics partner and point of contact for Finance stakeholders.
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Manage intake, prioritization, requirements gathering, and communication for reporting and analytics requests.
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Perform ongoing ad hoc analysis related to ARR, NRR, and revenue performance.
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Partner closely with Finance during quarter-end close activities, including ARR snapshots, bridge reconciliations, variance analysis, and sign-off support.
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Analyze and define reporting logic for new go-to-market motions, including ramp deals, flex agreements, delayed starts, and other emerging commercial models.
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Investigate ARR bridge movements and maintain revenue reporting models.
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Develop new ARR and NRR reporting solutions from concept through delivery.
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Deliver dashboards, recurring reports, and analytical outputs that drive business decisions.
Requirements
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10+ years of experience in Data Analytics, Revenue Analytics, Finance Analytics, FP&A Systems, or related analytical functions.
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Experience working within a public SaaS company environment.
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Strong understanding of SaaS revenue metrics, including ARR, NRR, churn, renewals, ATR, and bookings.
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Hands-on experience supporting Finance organizations and quarter-end close processes.
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Experience supporting auditable or externally reported business metrics.
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Proven ability to define reporting frameworks and metrics that did not previously exist.
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Familiarity with Salesforce revenue-related business processes and data structures, including opportunities, quotes, entitlements, and renewals.
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Understanding of complex deal constructs such as ramp agreements, multi-year contracts, delayed starts, co-terming, flex arrangements, and early renewals.
Preferred Qualifications
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Prior experience as a Data Product Owner or Analytics Product Owner.
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Background as an Analytics Business Analyst supporting enterprise reporting programs.
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Experience working in fast-growing subscription or cloud software companies.
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Exposure to executive-level KPI development and strategic reporting initiatives.
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Experience partnering across Finance, Revenue Operations, and Data teams to drive reporting improvements.
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Demonstrated use of AI and LLM technologies to improve analytical productivity and insight generation.
Skills
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Advanced SQL
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Snowflake
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dbt model interpretation and lineage analysis
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Salesforce data analysis
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Revenue analytics
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Financial reporting and reconciliation
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Business requirements gathering
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Data modeling and metric design
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Dashboard development
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Revenue operations analytics
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Cross-functional stakeholder management
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AI and LLM-enabled analytics workflows
Education
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Bachelor’s degree in Data Analytics, Finance, Accounting, Economics, Information Systems, Computer Science, Mathematics, Statistics, or a related field.
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Master’s degree in a relevant discipline is a plus.
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