обновлено 4 дня назад
Sr. Analytics Engineer (AI)
165 000 - 185 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Analytics Engineer (AI): Building scalable dbt data models, semantic layers, and reusable dashboards for healthcare, commercial, marketing, experimentation, and AI use cases with an accent on data quality, consistent metrics, and business-focused modeling. Focus on designing analysis-ready warehouse assets, building AI-driven workflows, and solving data problems before they affect business decisions.
Location: New York City, United States
Base pay range: $165,000–$185,000 USD per year
Company
provides personalized substance use and mental health care, combining clinical expertise with technology and AI to improve access and treatment quality.
What you will do
- Build and maintain dbt models in Amazon Redshift based on business needs.
- Apply software engineering practices to the transformation layer, including reusable code, testing, lineage, and documentation.
- Convert ambiguous questions from Commercial, Marketing, and Health Services teams into reusable data models and dashboards.
- Define and govern consistent metrics through the semantic layer and support experimentation and campaign measurement.
- Partner with Data Engineering, Product, and analytics teams to deliver analysis-ready data.
- Build AI-driven workflows and identify data quality issues before they affect business decisions.
Requirements
- 5+ years of experience in analytics engineering, BI, data analytics, or data modeling.
- Expert SQL and fluency with dbt, Git, and the analytics development lifecycle.
- Strong data modeling and data warehousing fundamentals, including documented tables with clear grain.
- Experience governing metric definitions through a semantic layer and translating business needs into usable models and dashboards.
- Hands-on experience building AI-driven workflows or skills.
- Ability to work autonomously in a changing environment.
Nice to have
- Experience with Cube, Looker, or similar semantic-layer and BI tools.
- Healthcare or other regulated-data experience.
- Experience measuring marketing campaigns, experiments, or engagement.
Culture & Benefits
- Flexible working environment.
- Medical, dental, and vision coverage.
- 401(k) plan, equity package, and eligible incentive compensation.
- Unlimited PTO, paid holidays, and company-wide personal days.
- Paid parental leave, wellness reimbursement, and family planning care.
- Annual learning and development stipend and substance use support for employees and family members.
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