Data Scientist, Analytics Enablement

OpenAI

. Define and maintain trusted metrics and analytical datasets for revenue, usage, customer performance, compute consumption, and margin .

Posted 11/4/2026full-timeSan Francisco • California • United StatesMid-LevelSenior💰 $347,000 - $385,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SQL and analytical data modeling to create reliable analyses and automated dashboards. Capable of translating complex datasets into actionable insights while effectively communicating findings to stakeholders.

Highest-signal resume keywords

Strong SQL SkillsAnalytical Data ModelingDashboard DevelopmentPython ProficiencyData Quality Improvement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLAnalytical Data ModelingData AnalysisDashboard DevelopmentAutomated ReportingData InvestigationMetric ReasoningCohort AnalysisScenario AssumptionsReusable Analytical Models

Soft Skills

Effective CommunicationProblem-SolvingStakeholder AlignmentPrioritizationCollaboration

Tools & Technologies

PythonData Engineering ToolsAnalytical Tools

Industry Keywords

Revenue MetricsCustomer PerformanceCompute ConsumptionMargin AnalysisBusiness ResultsData QualityGrowth AnalysisRetention MetricsMonetization StrategiesResource Efficiency

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Define and maintain trusted metrics and analytical datasets for revenue, usage, customer performance, compute consumption, and margin
Build automated dashboards and recurring reporting for Finance leaders and operating teams
Explain movements in business results and variances against expectations by examining drivers and validating data quality
Translate questions about growth, retention, monetization, pricing, and resource efficiency into structured analyses and recommendations
Partner with forecasting specialists and Finance on inputs, driver analyses, and scenario assumptions
Work with Data Engineering to improve underlying data quality and usability
Develop reusable analytical models and workflows that reduce manual effort
Communicate findings, align stakeholders on trade-offs, and assess whether analyses or data products improved decisions

Requirements

What you’ll need

Strong SQL and analytical data-modeling skills
Experience turning large, complex datasets into reliable analyses and reusable data products
Ability to reason about metrics, cohorts, denominators, measurement changes, and uncertainty
Experience investigating whether unexpected results reflect the business or the data
Experience building dashboards or recurring reporting used by business partners
Ability to independently scope ambiguous problems, prioritize work, and deliver end-to-end solutions
Ability to communicate technical findings clearly and work effectively with Finance, data scientists, engineers, and business partners
Ability to use Python or a comparable analytical tool to investigate data and automate repetitive work

Benefits

Comp & perks

Equity
Performance-related bonus(es) for eligible employees
Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents)
Paid medical and caregiver leave (up to 8 weeks)
Flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays
Multiple paid coordinated company office closures throughout the year
Paid sick or safe time
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend
Daily meals in offices and meal delivery credits as eligible
Relocation support for eligible employees
Charitable donation matching and wellness stipends may also be provided