IT Technology Architect | OpenSystem | Python OpenSystem
Job Location:
Job Location:
Cupertino, CA - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
5 hours ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
ECMS Job Description Data Analyst (Data & Reporting)
Job Title: Senior Data Steward / Data Scientist
Location: Cupertino CA Onsite (Contract)
Key Domain: Retail / Consumer Goods Analytics
Experience: 5 years overall; minimum 2 years in Retail or Consumer Goods
Communication: Strong verbal and written communication skills are mandatory; ability to clearly explain complex data insights to non-technical stakeholders.
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). Project Code :BPR code for RuchiPurna and Megha FY26
Job Title: Senior Data Steward / Data Scientist
Location: Cupertino CA Onsite (Contract)
Key Domain: Retail / Consumer Goods Analytics
Experience: 5 years overall; minimum 2 years in Retail or Consumer Goods
Communication: Strong verbal and written communication skills are mandatory; ability to clearly explain complex data insights to non-technical stakeholders.
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). Project Code :BPR code for RuchiPurna and Megha FY26
