Senior Data Steward Analyst
eTeam Inc
Job Title: Senior Data Steward Analyst
Location: Cupertino, CA - Onsite (Contract) Role Summary
Key Responsibilities
Key Skills (Must Have)
Nice to Have
Location: Cupertino, CA - Onsite (Contract) Role Summary
- We are looking for a senior Data Steward / Data Scientist with strong analytical depth, data ownership mindset, and modern AI exposure. This role bridges advanced analytics, data governance, and intelligent automation to ensure data is trusted, well-defined, and business-ready. The role focuses on governing metrics and deploying AI-driven solutions to automate analytical and governance workflows.
Key Responsibilities
- Analyze retail channel data (sales, inventory, performance metrics) using statistical and analytical techniques.
- Build and maintain forecasting and analytical models to support business decisions.
- Perform exploratory data analysis and translate insights into clear business recommendations.
- Own and govern data definitions, metrics, lineage, and quality standards for key data domains.
- Develop and maintain data dictionaries, business glossaries, and documentation.
- Design and deploy AI or LLM-based agents to automate recurring analytics or data governance workflows.
Key Skills (Must Have)
- Advanced SQL and Python (pandas, scikit-learn, statsmodels).
- Retail / Consumer Goods analytics experience (mandatory).
- Data analysis, forecasting, and statistical modeling expertise.
- Strong understanding of data governance, data quality, and stewardship practices.
- Experience with data pipelines and platforms (Airflow, dbt, Spark or similar).
- Hands-on exposure to AI agents or LLM-powered analytical solutions.
- Excellent communication and stakeholder management skills.
Nice to Have
- Knowledge graph technologies (RDF, Neo4j) and graph query languages (SPARQL, Cypher).
- Multi-agent frameworks (LangGraph, CrewAI, Claude Agent SDK).
- Data governance frameworks (DAMA-DMBOK).
- Cloud data platforms (Snowflake, Databricks, BigQuery).
Vacancy posted 3 days ago
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