Назад
8 часов назад

Analytics Engineer GTM (AI)

220 000 - 335 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
head
Страна
US
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Описание вакансии

TL;DR
Analytics Engineer GTM (AI) (SQL/Python/ETL): Building scalable data models, metrics, pipelines, dashboards, and self-service tools for Go-to-Market stakeholders with an accent on analytics engineering, data visualization, and business impact. Focus on defining and operationalizing metrics, leading greenfield data projects, maintaining trusted data products, and communicating findings through clear narratives.

Analytics Engineer GTM

Company

OpenAI

Conditions

6 days agoSalary: 220K - 335K

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will partner with Go-to-Market stakeholders to turn business questions into data models, metrics, analyses, pipelines, dashboards, and self-service tools. You will own data products from exploration through production, maintain trusted datasets, prioritize requests, and communicate findings through clear narratives.

Requirements

  • 10+ years of experience in a relevant data role
  • SQL expertise
  • Experience working with large datasets
  • Experience designing ETL workflows
  • Proficiency in Python or another quantitative programming language
  • Experience with Tableau or Looker
  • Experience with React, Streamlit, or Plotly Dash
  • Analytics engineering knowledge
  • Data modeling knowledge
  • Data visualization knowledge
  • Experience delivering business impact in Sales, Finance, Support, or another GTM function

Responsibilities

  • Translate business needs into data models, metrics, analyses, and technical solutions
  • Define, validate, and operationalize business metrics
  • Lead cross-functional data projects and set data strategy for greenfield domains
  • Build scalable data models and pipelines
  • Create dashboards, reports, analytical tools, and self-service data products
  • Own metrics and data products from exploration through maintenance
  • Prioritize analytics requests and data ecosystem investments
  • Use AI-assisted development tools while maintaining tested code and documentation
  • Communicate findings through memos, presentations, and dashboards

Benefits

  • Medical, dental, and vision insurance for employees and their families
  • Employer contributions to Health Savings Accounts
  • Health FSA, Dependent Care FSA, and commuter expense accounts
  • 401(k) plan with employer match
  • Paid parental, medical, and caregiver leave
  • Flexible paid time off for exempt employees
  • Paid company holidays and office closures
  • Paid sick or safe time
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Daily office meals and eligible meal delivery credits
  • Relocation support for eligible employees
  • Charitable donation matching
  • Wellness stipends
  • Equity
  • Performance-related bonuses for eligible employees

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