Senior Data Analyst (Marketing Experience)

About the role

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.

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.

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
• Competitive compensation
• Medical and dental benefits
• 401K plan
• Unlimited PTO
• Paid holidays
• Professional development reimbursement