Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup.
Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations.
Manage and enhance data transformations with dbt where necessary.
Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights.
Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness.
Use Git for version control and collaboration.
Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly.
Leverage AI tools to be 10x more productive than the average analyst.

3+ years of experience as Data Analyst with marketing data.
Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all.
Proficiency in SQL.
Proficiency in data modelling (dbt preferred).
Knowledge of Google Analytics (advanced level, for business understanding).
Experience with Git.
English C1 level with excellent written and verbal communication (client-facing role).
Strong analytical skills, proactive problem-solving, and high attention to detail.
Comfortable with ambiguity and able to drive clarity with clients and internal teams.
Hands-on experience with QA/UAT processes.
Proficiency with AI tools and ability to learn new ways of working is essential.

Senior Solutions Engineer, Marketing Analytics

Key skills