IT Technology Architect Development process generic Big Data Analytics Process Technology Architect Development process generic Big Data Analytics Process
Job Description: Beeline ID (phone number removed)
Number of Openings 1
Duration of contract 12 months
No of years experience 5+ years
Job Title* and Job band Data Analyst
Detailed job description - Skill Set*: *Data Science & Analytics
*Data Governance & Metric Definition
Mandatory Skills *5+ years of experience across data science, data engineering, or analytics with at least 2 years in a retail or consumer goods environment
*Strong proficiency in SQL and Python (pandas, scikit-learn, statsmodels, or similar)
*Familiarity with causal inference methods and experiment design
*Familiarity with building and maintaining data pipelines (Airflow, dbt, Spark, or similar)
*Practical experience building or deploying AI agents or LLM-powered applications
*Familiarity with knowledge graph technologies (RDF, property graphs, Neo4j)
*Experience with data governance practices data quality, metadata management, or data stewardship
*Ability to communicate complex findings clearly to non-technical stakeholders
Good to Have Skills *Experience with multi-agent frameworks (Claude Agent SDK, LangGraph, CrewAI, or similar)
*Exposure to ontology design or entity resolution in a retail context
*Familiarity with data governance frameworks (DAMA-DMBOK or simila
*Graph query languages (SPARQL, Cypher)
*Cloud data platform experience (Snowflake, BigQuery, Databricks)
Vendor Billing range (share in local currency) * ***/hr (All inclusive)
Work Location (with Zip code of onsite)* 94085
Client Interview / F2F Applicable Yes/Online
Drug test details: No
Number of Openings 1
Duration of contract 12 months
No of years experience 5+ years
Job Title* and Job band Data Analyst
Detailed job description - Skill Set*: *Data Science & Analytics
*Data Governance & Metric Definition
Mandatory Skills *5+ years of experience across data science, data engineering, or analytics with at least 2 years in a retail or consumer goods environment
*Strong proficiency in SQL and Python (pandas, scikit-learn, statsmodels, or similar)
*Familiarity with causal inference methods and experiment design
*Familiarity with building and maintaining data pipelines (Airflow, dbt, Spark, or similar)
*Practical experience building or deploying AI agents or LLM-powered applications
*Familiarity with knowledge graph technologies (RDF, property graphs, Neo4j)
*Experience with data governance practices data quality, metadata management, or data stewardship
*Ability to communicate complex findings clearly to non-technical stakeholders
Good to Have Skills *Experience with multi-agent frameworks (Claude Agent SDK, LangGraph, CrewAI, or similar)
*Exposure to ontology design or entity resolution in a retail context
*Familiarity with data governance frameworks (DAMA-DMBOK or simila
*Graph query languages (SPARQL, Cypher)
*Cloud data platform experience (Snowflake, BigQuery, Databricks)
Vendor Billing range (share in local currency) * ***/hr (All inclusive)
Work Location (with Zip code of onsite)* 94085
Client Interview / F2F Applicable Yes/Online
Drug test details: No
