What you'll do
- Support clients directly β understand their requirements, translate them into data solutions, and deliver clear insights.
- Build and maintain dashboards and reports in Looker, Power BI, and Tableau β 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.
Team description
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. Weβre a fast-growing Series A startup backed by $34M in funding, driven by a team that moves fast, stays curious, and cares about high-quality execution.
Tech stack
- Looker, Power BI, Tableau
- dbt
- AI tools (Codex, Claude)
- Git for version control
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.
Nice to Have
- Knowledge of Google Analytics (for business understanding).
- Knowledge of Google Analytics Data Streams.
- Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.).
- Understanding of Marketing Mix Modeling (MMM) concepts.
- dbt experience in analytics workflows.
- Python or other scripting language for data analysis and automation.
- Experience with data quality frameworks or data observability tools.
- Familiarity with marketing attribution models.
What We Offer
- Remote-first environment
- Strong product/market fit: marketing data product for US-based enterprises
- 20 working days of PTO per year
- US holidays and additional days off
- Professional development reimbursement
Ready to apply for this role?
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