Senior Data Analyst (Marketing Experience)

Improvado•,

66d•$100,000 - $120,000•Remote

About The Position

Improvado is an AI-powered marketing data platform designed for mid-market and enterprise teams. We assist companies in automating intricate marketing data workflows, unifying data at scale, and uncovering insights through Business Intelligence (BI) and Artificial Intelligence (AI). Renowned brands such as ASUS, Docker, Activision, and H&R Block utilize our platform to streamline analytics and enhance marketing performance. We are a rapidly expanding Series A startup, supported by $34 million in funding, and propelled by a team that operates with speed, maintains curiosity, and prioritizes high-quality execution. About the Role The Senior Marketing Analyst will be primarily responsible for assisting clients in maximizing the value derived from their marketing data. This role involves end-to-end ownership of client delivery for assigned accounts, encompassing data modeling through final reporting. The analyst will design and maintain dashboards across various BI platforms, ensure data quality, and deliver clear, actionable reports. The position also requires managing data transformations using dbt and working with complex, multi-source data architectures. Proficiency in leveraging AI tools (such as Codex and Claude) to expedite workflows is expected. We seek a candidate who is reliable, responsible, quality-conscious, committed to their promises, takes ownership of their work, and can confidently present findings to clients.

Requirements

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 Haves

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.

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.