5 дней назад
Analytics Lead (Data Analytics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics Lead (Data Analytics): Owning end-to-end analytics for a business-critical function, from scalable data models and pipelines to dashboards and strategic insights, with an accent on analytics engineering, experimentation, forecasting, and predictive analysis. Focus on building a trusted data foundation, solving ambiguous business problems, and enabling evidence-based product and operational decisions.
Location: New York, NY; the data team works from the NYC office 2–3 days a week.
Company
is an AI-native digital health system providing dietitian-led metabolic healthcare, including registered dietitians, physicians, medications, lab testing, and AI agents across all 50 US states.
What you will do
- Own the full analytics workflow for a business-critical function, from raw data and models to dashboards and insights.
- Partner with stakeholders to identify strategic questions, uncover growth and efficiency opportunities, and influence priorities and roadmaps.
- Design intuitive dashboards that provide clarity and enable fast decision-making.
- Work with Engineering to validate and optimize data pipelines and maintain accurate, scalable infrastructure.
- Document analytical work and help teams interpret and act on data.
- Use experimentation data, forecasting, and predictive analysis to inform product and business strategy.
Requirements
- 4–8 years of experience owning analytics for a business function or product area, ideally in a fast-growing company.
- Strong analytics engineering expertise, including clean and performant SQL, data modeling, ETL, and data infrastructure fundamentals.
- Hands-on experience with dbt, Fivetran, and Metabase or Looker.
- Ability to translate complex analysis into clear, actionable recommendations for business and engineering stakeholders.
- Experience designing scalable systems from scratch and taking end-to-end ownership.
- Ability to communicate analytical findings clearly in documentation and presentations to leadership.
Culture & Benefits
- Work on improving health outcomes and making healthy lifestyles easier to maintain.
- Collaborate across Operations, Engineering, Product, and Design.
- Join an early analytics hire responsible for helping define ’s long-term data vision.
- High-autonomy environment focused on difficult, ambiguous problems, candid feedback, resilience, and measurable impact.
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