Analytics Engineer: Build Trusted Data & Dashboards

Cartesia; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health Insurance

Parental Leave

401(k)

Commuter Allowance

Flexible PTO

Meals & Snacks

Your own personal Yoshi

Job summary

Cartesia is hiring an Analytics Engineer to build company-wide source-of-truth data, unifying product, billing, CRM, marketing, and operations into reliable models and dashboards.

This early data hire will fix correctness issues, strengthen the warehouse, and create the first trusted dashboards for Product, GTM, Growth, RevOps, and leadership. You will build durable data systems and standards for company-wide data usage.

Qualifications

• 5+ years in analytics engineering, data engineering, or a technically rigorous analytics role, ideally at a B2B SaaS or developer-tools company.
• Expert SQL and strong warehouse modeling fundamentals, including dimensional modeling, historization, and identity resolution.
• Production experience with dbt or similar transformation tooling, plus testing, orchestration, monitoring, lineage, and documentation.
• A track record of turning fragmented data and competing definitions into canonical, reusable models.
• Experience working across product, billing, CRM, and marketing data; self-serve funnel experience is especially valuable.
• Strong judgment about when a problem belongs in a source system, pipeline, warehouse model, semantic layer, or dashboard.

Responsibilities

• Own the path from source systems to canonical datasets, metrics, and dashboards.
• Identify and fix data-quality issues across pipelines, models, definitions, and reporting surfaces.
• Build and maintain reliable warehouse models using SQL and dbt or equivalent tooling.
• Establish clear metric definitions, tests, lineage, freshness monitoring, documentation, and ownership.
• Partner closely with Product, Engineering, RevOps, Growth, and GTM to translate business concepts into durable data models.
• Create trusted dashboards for core company metrics such as activation, usage, billing, customer health, and marketing performance.
• Make common data questions self-serve while ensuring dashboards reuse canonical logic rather than duplicating it.
• Audit the existing data stack and recommend pragmatic improvements or overhauls to ETL and analytics tooling where needed.
• Educate the company on how to use the source of truth and how new metrics and dashboards should be created.

Skills

SQL proficiency

Warehouse modeling

Data quality

Stakeholder management

Self-serve data

Tools

dbt

Job description

Cartesia is hiring an Analytics Engineer to build company-wide source-of-truth data, unifying product, billing, CRM, marketing, and operations into reliable models and dashboards.

This early data hire will fix correctness issues, strengthen the warehouse, and create the first trusted dashboards for Product, GTM, Growth, RevOps, and leadership. You will build durable data systems and standards for company-wide data usage.