Data Analyst (Data Science & Governance)
Sunnyvale, Texas, United States of America
Contract
1 week ago
$55 - $59 USD
Key skills
PythonSQLAILLMClaudescikit-learnPandasLangGraphData EngineeringAnalyticsSnowflakeBigQueryDatabricksSparkAirflowdbtNeo4jCommunication
About this role
Job Title: Data Analyst (Data Science & Governance) Location: Sunnyvale, CA 94085
Duration: 12 Months Contract
Openings: 1
Duration: 12 Months Contract
Openings: 1
F2F Interview
Role Summary
We are seeking a skilled Data Analyst with strong expertise in Data Science, Analytics, and Data Governance. This role requires hands-on experience in building analytical models, designing experiments, and ensuring high-quality, well-governed data assets.
The ideal candidate will bring a blend of technical depth and business understanding, particularly within retail or consumer goods environments, and will contribute to advanced analytics initiatives including AI/LLM-powered applications and knowledge graph implementations.
Key Responsibilities
- Perform advanced data analysis to generate actionable insights for business stakeholders
- Design and execute experiments and causal inference studies to support data-driven decision-making
- Develop and maintain data pipelines and workflows using modern data engineering tools
- Build and deploy AI-driven or LLM-powered solutions for analytics use cases
- Work with knowledge graph technologies to structure and analyze complex data relationships
- Establish and maintain data governance practices, including data quality, metadata, and stewardship
- Define and standardize business metrics and KPIs across systems
- Collaborate with cross-functional teams to ensure data accuracy and usability
- Communicate complex technical findings in a clear, business-friendly manner
Mandatory Skills & Qualifications
- 12+ years of experience in Data Science, Data Engineering, or Analytics
- Minimum 2 years of experience in retail or consumer goods domain
- Strong programming skills in:
- SQL
- Python (pandas, scikit-learn, statsmodels or similar libraries)
- Experience with causal inference techniques and experiment design
- Hands-on experience building and maintaining data pipelines (Airflow, dbt, Spark, etc.)
- Practical experience with AI agents or LLM-based applications
- Familiarity with knowledge graph technologies (RDF, Neo4j, property graphs)
- Experience in data governance practices:
- Data quality management
- Metadata management
- Data stewardship
- Strong communication skills with the ability to explain insights to non-technical audiences
Good-to-Have Skills
- Experience with multi-agent frameworks:
- Claude Agent SDK
- LangGraph
- CrewAI
- Exposure to ontology design and entity resolution (especially in retail)
- Familiarity with data governance frameworks (DAMA-DMBOK or similar)
- Knowledge of graph query languages:
- SPARQL
- Cypher
- Experience with cloud data platforms:
- Snowflake
- BigQuery
- Databricks
Soft Skills
- Strong analytical and problem-solving mindset
- Excellent communication and storytelling with data
- Ability to work in cross-functional and fast-paced environments
- Detail-oriented with a focus on data accuracy and governance