Senior AI Analyst
Indexed description
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
- 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
- Python for data processing and automation
- Experience working directly with clients on technical requirements
- BI tools (e.g., Superset) for operational reporting
- 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
i0YSrb1j54
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search