Data Freelance Hub
Lead Business Data Analyst – Contract
Location: Sunnyvale, CA or Austin, TX (5 days/week onsite). Long‑term contract.
Role Overview We are looking for an experienced Lead Business Data Analyst with 12+ years of experience in data analytics, business analysis, and data management. The role requires advanced SQL, Python (Pandas, NumPy) proficiency, and expertise in Tableau, Snowflake, and data governance.
Key Responsibilities
Perform in‑depth analysis of enterprise data to uncover trends, patterns, and correlations.
Identify actionable insights and data‑driven opportunities to inform decision‑making and strategy.
Collaborate with stakeholders to identify and define data use cases across functional domains.
Translate business requirements into clear technical specifications, analytical models, and actionable deliverables.
Analyze current‑state data and infrastructure, identify gaps, and define mitigation strategies.
Perform deep dives into structured and semi‑structured datasets to assess completeness, consistency, and accuracy.
Design and validate data pipelines and transformations, documenting lineage and dependencies.
Use Python and SQL to extract, clean, and engineer data features for analytics and modeling.
Build and maintain insightful Tableau dashboards and reports.
Maintain business glossary, data dictionary, and metadata aligned with governance standards.
Participate in validation of new or transformed data sets to ensure integrity and alignment with business requirements.
Required Qualifications
8–12 years experience in data analytics, business analysis, or data management.
Advanced SQL expertise with ability to query and optimize large, complex datasets.
Proficiency in Python for data analysis, transformation, and feature engineering (Pandas, NumPy).
Experience with Tableau or similar BI visualization tools for storytelling and dashboards.
Deep understanding of data architecture, governance, MDM, and data lineage.
Proven track record in identifying and scoping new data use cases and converting insights into business recommendations.
Experience with Snowflake, Databricks, or Hadoop/Spark environments.
Exposure to data catalog or governance tools (Collibra, Alation).
Familiarity with DB data hierarchy, enrichment, or similar reference data systems.
Technical Stack SQL (PostgreSQL, Snowflake, Redshift), Python (Pandas, NumPy), Tableau, Git/Bitbucket, JIRA/Confluence.
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Role Overview We are looking for an experienced Lead Business Data Analyst with 12+ years of experience in data analytics, business analysis, and data management. The role requires advanced SQL, Python (Pandas, NumPy) proficiency, and expertise in Tableau, Snowflake, and data governance.
Key Responsibilities
Perform in‑depth analysis of enterprise data to uncover trends, patterns, and correlations.
Identify actionable insights and data‑driven opportunities to inform decision‑making and strategy.
Collaborate with stakeholders to identify and define data use cases across functional domains.
Translate business requirements into clear technical specifications, analytical models, and actionable deliverables.
Analyze current‑state data and infrastructure, identify gaps, and define mitigation strategies.
Perform deep dives into structured and semi‑structured datasets to assess completeness, consistency, and accuracy.
Design and validate data pipelines and transformations, documenting lineage and dependencies.
Use Python and SQL to extract, clean, and engineer data features for analytics and modeling.
Build and maintain insightful Tableau dashboards and reports.
Maintain business glossary, data dictionary, and metadata aligned with governance standards.
Participate in validation of new or transformed data sets to ensure integrity and alignment with business requirements.
Required Qualifications
8–12 years experience in data analytics, business analysis, or data management.
Advanced SQL expertise with ability to query and optimize large, complex datasets.
Proficiency in Python for data analysis, transformation, and feature engineering (Pandas, NumPy).
Experience with Tableau or similar BI visualization tools for storytelling and dashboards.
Deep understanding of data architecture, governance, MDM, and data lineage.
Proven track record in identifying and scoping new data use cases and converting insights into business recommendations.
Experience with Snowflake, Databricks, or Hadoop/Spark environments.
Exposure to data catalog or governance tools (Collibra, Alation).
Familiarity with DB data hierarchy, enrichment, or similar reference data systems.
Technical Stack SQL (PostgreSQL, Snowflake, Redshift), Python (Pandas, NumPy), Tableau, Git/Bitbucket, JIRA/Confluence.
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