15 часов назад
Analytics Engineer
180 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics Engineer (SQL/dbt): Building Cartesia's company-wide source of truth by turning product, billing, CRM, marketing, and operational data into reliable warehouse models, canonical metrics, and trusted dashboards with an accent on data quality, dimensional modeling, and metric governance. Focus on designing durable transformation systems, investigating discrepancies end-to-end, and enabling self-serve analytics across Product, GTM, Growth, RevOps, and leadership.
Location: On-site in San Francisco, United States; in-person offices are also located in London and Bangalore.
Salary: $180K–$250K annually, plus equity.
Company
develops AI model architectures and products based on State Space Models for efficient, large-scale foundation models.
What you will do
- Own the path from source systems to canonical datasets, metrics, and dashboards.
- Build and maintain reliable warehouse models using SQL and dbt or equivalent tools.
- Identify and resolve data-quality issues across pipelines, models, definitions, and reporting.
- Establish metric definitions, testing, lineage, freshness monitoring, documentation, and ownership.
- Create trusted dashboards for activation, usage, billing, customer health, and marketing performance.
- Partner with Product, Engineering, RevOps, Growth, and GTM to create durable data models and self-serve workflows.
Requirements
- 5+ years of experience in analytics engineering, data engineering, or a technically rigorous analytics role.
- Expert SQL and strong warehouse modeling fundamentals, including dimensional modeling, historization, and identity resolution.
- Production experience with dbt or similar transformation tooling, testing, orchestration, monitoring, lineage, and documentation.
- Experience working with product, billing, CRM, and marketing data.
- Ability to investigate discrepancies end-to-end and turn ambiguous business concepts into precise models.
- Strong stakeholder judgment and a practical approach to fixing urgent issues while building durable systems.
Nice to have
- Experience as an early or founding member of a data function.
- Experience with full-funnel growth analytics, attribution, channel ROI, CRM, billing, or self-serve conversion.
- Experience building self-serve data workflows or using LLM-powered analytics tooling.
Culture & Benefits
- In-person collaboration with offices in San Francisco, London, and Bangalore.
- Visa sponsorship support is available and assessed case by case.
- Medical, dental, and vision insurance fully covered for employees and families.
- Parental leave, flexible PTO, 401(k), commuter allowance, and daily meals and snacks.
- Open, inclusive culture focused on fast execution, quality, and design.
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