Analytics engineer in marketing data

Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We're a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.

• Run weekly customer calls and turn what you hear into a scoped build with dates.
• Design and maintain the models: SQL and dbt on ClickHouse, BigQuery or Snowflake, kept correct as sources change.
• Write Python pipelines on Temporal when the platform doesn't cover the case: SFTP feeds, validation rules, custom joins, audit emails.
• Ship dashboards in Looker, Power BI or Tableau, whichever the customer already runs.
• QA your own delivery before the customer sees it.
• Send platform gaps back to Product with a reproducible case.

• You have 3+ years shipping data work for people outside your own team: an agency, a consultancy, professional services, or an in-house analytics team with internal customers.
• SQL is your first language and Python a comfortable second.
• You've used Claude Code, Codex or Cursor for real work and can say where they go wrong.
• You can hold a call with a marketing director and a data engineer in the same hour and both leave with a decision.
• English C1 or better.
• Будет плюсом: Ad-platform, GA4 or CRM data; dbt in production; MMM or attribution; Temporal or Airflow

• Remote-first environment
• Medical and dental benefits
• 401(k) plan
• Paid time off and US holidays
• Professional development reimbursement