Senior Data Analyst (Marketing Experience)

Improvado Open · verified Oct 24, 2026

Remote Worldwide Full-time Senior General Marketing

At a glance

Senior General Marketing role at Improvado. Remote · full-time.

Pay not stated Data Analyst salary

RoleGeneral Marketing

SenioritySenior

LocationWorldwide

WorkplaceRemote

EmploymentFull-time

PostedSep 22, 2026 · 4w ago

Role brief

remoteroles summary, based on the employer's posting.

What you'll do

Take assigned client accounts from requirements gathering through data modeling and final reporting
Build and upkeep dashboards in Looker, Power BI, or Tableau, based on each client’s setup
Combine marketing data sources into models, then map and document how data moves across schemas
Write and troubleshoot SQL, manage dbt transformations, and check data quality through QA and UAT
Spot trends, opportunities, and risks in marketing data, then explain the findings to clients

What you bring

At least three years of SQL experience and expert skill in one BI platform, with readiness to deliver across all three
Hands-on work with several marketing data sources at once, plus knowledge of dimensional modeling and ELT or ETL
C1-level English and the ability to explain results directly and confidently to clients
Experience using AI tools in daily workflows and carrying out QA or UAT checks

Who this fits

This remote role suits a senior analyst who can own client delivery, work through complex data, and communicate insights clearly. You’ll need to bring care to data accuracy and be comfortable finding clarity with clients and internal teams when requirements are ambiguous.

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

The Senior Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows.

We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients.

Responsibilities

Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights.
Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup.
Design and maintain data models that consolidate data from multiple marketing platforms and sources.
Map and document data flows across complex, multi-source schemas.
Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly.
Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations.
Manage and enhance data transformations with dbt.
Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness.
Use Git for version control and collaboration.

Must Have Qualifications

Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all.
3+ years of SQL experience.
Proficiency with AI tools and ability to integrate them into daily workflows.
Experience working with multiple marketing data sources simultaneously (ad platforms, CRM, web analytics, etc.).
Understanding of data modeling principles (star schema, dimensional modeling).
Understanding of ELT/ETL concepts and debugging data transformation logic.
English C1 level with excellent written and verbal communication.
Ability to communicate directly with clients and stakeholders.
Takes ownership and responsibility for their work and results.
Can present their work and insights confidently to clients.
Consistently checks their own work for quality, accuracy, and completeness before delivery.
Strong analytical skills, proactive problem-solving, and close attention to detail.
Comfortable with ambiguity and able to drive clarity with clients and internal teams.
Hands-on experience with QA/UAT processes.