Senior AI Analyst

Improvado is an AI-powered, unified platform designed for marketing teams in medium to large-scale enterprises and agencies, who are looking to automate complex marketing intelligence and reporting to make decisions with ease. Improvado gathers, organizes, and untangles marketing data to deliver instant insights through BI and AI, helping to eliminate complexity, delivering laser-focused insights to optimize budgets, enhance campaign efficiency and marketing ROI. About the role This role sits within a Transformation Team - a small, high-impact group of data analysts and analytics engineers responsible for Improvado's transformation layer: SQL DataMarts, custom pipelines, and analytics products (Martech Recipes, Attribution/MMM, DataPrep) that turn raw marketing data into clean, client-ready datasets. As Senior AI Analyst, you'll own technical delivery on complex client accounts, build and automate analytics workflows, and drive product quality through a combination of deep SQL expertise and applied AI. This is a hands-on individual contributor role — you'll be writing transformation logic, building automation, and directly solving hard problems, not coordinating from a distance. Responsibilities Own end-to-end delivery on complex client implementations: SQL DataMarts, custom pipelines, Martech Recipes, Attribution, and DataPrep Build and maintain automated analytics workflows using AI tools, scripting, and modern data stack Troubleshoot and resolve production data pipeline issues, including direct client-facing escalations Identify opportunities to replace manual processes with scalable, AI-driven solutions Collaborate with Product, BI, and CSM/TCS teams on architecture decisions and client data requirements Contribute to SOPs and documentation for transformation processes Qualifications Demonstrated experience applying AI tools to automate analytics or data workflows: Claude Code, prompt engineering, agentic coding to accelerate development, write tests, optimize complex problems, and ship faster Build and scale an AI agent and be able make it reliable Product ownership mindset — able to take a problem end-to-end with minimal hand-holding Strong SQL skills required; dbt or similar transformation-tooling experience strongly preferred Hands-on ETL/ELT pipeline experience (BigQuery, Snowflake, Redshift, or ClickHouse) Experience troubleshooting production data pipelines and resolving data quality issues Marketing or revenue data domain experience Availability to work full US Eastern Time (ET) hours Nice to have Python for data processing and automation Experience working directly with clients on technical requirements BI tools (e.g., Superset) for operational reporting 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