Analytics Engineer

Highlights

• Own company-wide source of truth from source systems to canonical datasets.
• Build first trusted dashboards for activation, usage, billing and health.
• Fix data-quality issues while setting standards for metrics and lineage.

What they offer

• Competitive base salary plus equity package
• Fully covered medical, dental and vision for you and family
• 9 weeks paternity and 12 weeks maternity leave
• 401(k)
• Monthly commuter allowance
• Flexible PTO
• Daily lunch, dinner and snacks

Ideal candidate

A low-ego, systems-minded data owner who loves bringing order to messy data and partnering with product and GTM teams to build trusted foundations at an early-stage, fast-shipping AI company.

Requirements

• 5+ years in analytics engineering, data engineering or rigorous analytics role, ideally B2B SaaS or developer-tools
• Expert SQL and warehouse modeling including dimensional modeling, historization and identity resolution
• Production experience with dbt or similar including testing, orchestration, monitoring, lineage and documentation
• Track record turning fragmented data and competing definitions into canonical reusable models
• Experience across product, billing, CRM and marketing data; self-serve funnel experience a plus
• Strong judgment on where issues belong across source system, pipeline, warehouse model, semantic layer or dashboard
• Ability to investigate discrepancies end-to-end and prevent recurrence
• Strong stakeholder instincts with ability to make ambiguous business concepts precise