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Analytics Engineer
200 000 - 250 000$
Описание вакансии
Текст:
TL;DR
Analytics Engineer: Transforming raw data into reliable, actionable insights to power next-generation creative tools with an accent on scalable data modeling, validation, and dashboarding. Focus on designing ETL pipelines, collaborating cross-functionally, and driving a data-first culture in a fast-moving AI music startup.
Location: Onsite in New York or Boston, must be eligible to work in the US
Salary: $200,000–$250,000
Company
is a music company powered by advanced AI models, offering a generative audio workstation and creative platform for a global community of musicians and artists.
What you will do
- Partner with Product, Science, Engineering, and GTM teams to define key metrics and translate business needs into scalable data models.
- Design, build, and maintain dbt transformations and ETL pipelines for reliable analytics-ready data.
- Implement data validation, testing, and monitoring frameworks to ensure data accuracy and timeliness.
- Build and maintain dashboards and reports in Hex, Looker, or Mode for real-time visibility.
- Collaborate to define and operationalize metrics that inform strategic decisions.
- Drive data democratization through reusable data products, documentation, and self-serve tooling.
Requirements
- Must be eligible to work in the US
- 5+ years experience in Analytics Engineering, Data Analytics, or Data Science supporting Product and GTM teams.
- Expertise in SQL, dbt, Airflow, and version control (GitHub).
- Experience building dashboards and analytical tools in Hex, Mode, Looker, or Tableau.
- Strong ownership, curiosity, and ability to work in ambiguous, fast-moving environments.
- Passion for music, creativity, and AI.
Culture & Benefits
- Generous company equity package.
- 401(k) with 3% employer match and Roth 401(k).
- Unlimited PTO and sick time.
- Medical, dental, and vision insurance with PPO, HSA, and FSA options.
- Creative education stipend and generous commuter allowance.
- In-office lunch provided 5 days per week.
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