Full-Stack Marketing Data Analyst

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.
About the role

Full-stack means you don't hand off. You connect the sources, model the data, transform it, build the dashboard and explain the numbers to the customer who paid for them, on three to six enterprise accounts at a time. If you've been the analyst who also had to be the analytics engineer and the account lead, and you liked it, this is that job with a platform and AI tooling behind you.
What you'll do

- Own the chain for every account: source connection, ClickHouse and dbt model, QA, dashboard, weekly customer call.

- Write SQL every day, and Python when a transformation or a delivery needs code.

- Build reporting in Looker, Power BI or Tableau, and the model under it, so the numbers survive a finance review.

- Find what's off in the data before the customer does, and say so plainly.

- Use Claude Code to move faster and check its work harder.

You'll fit if

- You have 3+ years as a marketing analyst, data analyst, BI developer or analytics engineer, with customers you had to keep, external or internal.

- Expert SQL, working Python, one BI tool at expert level.

- You've worked with several marketing sources at once (ad platforms, GA4, CRM), or can show the same with another messy multi-source domain.

- English C1 or better. You present your own work.

Helps
- dbt in production. Attribution or MMM. Agency background.

What we offer

- Remote-first environment

- Medical and dental benefits

- 401(k) plan

- Paid time off and US holidays

- Professional development reimbursement

Originally posted on Himalayas