Senior Data Analyst, Marketing Experience

🕒 5 days ago

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Improvado

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

☁️ SaaS

🤖 Artificial Intelligence

🤝 B2B

💰 $22M Series A - Improvado on 2022-05

SaaS • Artificial Intelligence • B2B

Improvado is an AI-native SaaS platform that centralizes marketing and sales data, connecting 1,000+ sources to provide automated ETL/ELT/Reverse ETL, data transformation, and enterprise-grade data governance. Its conversational AI agent answers natural-language queries, builds dashboards on the fly, generates and runs experiments across ad platforms, and applies creative intelligence to analyze and generate ad variants. The platform targets marketing and analytics teams at enterprises and agencies, emphasizing no-code data pipelines, real-time insights, automated campaign validation, and compliance (SOC 2, GDPR, HIPAA support).

📋 Description

• 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.

🎯 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.

🏖️ Benefits

• 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