Full-Stack Marketing Data Analyst

Improvado Open · verified Sep 18, 2026

Remote Worldwide Full-time Mid-level Marketing Analytics

Mid-level Marketing Analytics role at Improvado. Remote · full-time.

Role brief

Growth Roles summary, based on the employer's posting.

What you'll do

Own each account from source setup through modeling, QA, dashboards, and recurring customer calls
Write daily SQL and use Python for transformations or delivery work
Build Looker, Power BI, or Tableau reporting with models that withstand finance review
Catch data problems before customers do and explain them clearly
Use Claude Code to speed delivery while checking its output carefully

What you bring

Bring at least three years in marketing analysis, data analysis, BI development, or analytics engineering
Show expert SQL, practical Python, and expert-level skill in one BI tool
Work across multiple marketing inputs such as ad platforms, GA4, and CRM, or another messy multi-source domain
Communicate in English at C1 level or higher and present your own work
Have supported customers you were responsible for retaining, internally or externally

Who this fits

This suits a hands-on analyst who can connect data, build the reporting layer, and explain results directly to customers. The role is remote and requires ownership of customer calls and presentations. Experience with dbt in production, attribution or MMM, and agency work is helpful.

From the employer

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