Data Analysis and reporting

Data Analysis and Reporting

Location:

Cupertino, CA (3 days Hybrid)

Employment Type:

Contract (12 Months)

Tax term: W2 only

Experience:

10 years

Skills:

Python, SQL, Tableau and Snowflake

• Data Analysis & Insight Generation:
  Perform in-depth analysis of enterprise data to uncover trends, patterns, and correlations. Identify actionable insights and data-driven opportunities that inform decision-making and strategic initiatives.
• Data Use Case Identification:
  Collaborate with stakeholders to identify and define data use cases across functional domains, ensuring alignment with business priorities and future‑state data strategy.
• Business-to-Technical Translation:
  Engage with stakeholders to translate business requirements into clear technical specifications, analytical models, and actionable deliverables.
• Impact Assessment:
  Analyze current‑state data and infrastructure versus future‑state goals; identify data and process gaps; define mitigation strategies.
• Data Profiling & Quality Analysis:
  Perform deep dives into structured and semi‑structured datasets to assess completeness, consistency, and accuracy; work with SMEs to understand data availability and source gaps.
• Data Integration & Transformation:
  Design and validate data pipelines and transformations; document lineage and dependencies.
• Feature Engineering & Analytics:
  Use Python and SQL to extract, clean, and engineer data features for analytics and modeling.
• Reporting & Visualization:
  Build and maintain insightful Tableau dashboards and reports to communicate findings effectively.
• Governance & Documentation:
  Maintain business glossary, data dictionary, and metadata aligned with governance standards.
• Testing & Validation:
  Participate in validation of new or transformed data sets to ensure integrity and alignment with business requirements.
• Knowledge Management:
  Maintain the data dictionary and business glossary for assigned domains, capturing and documenting definitions aligned with business leadership and global teams.
• Cross‑functional
  
  Collaboration:
  
  Partner closely with data engineers, product managers, and business SMEs to align solutions with business objectives.

• 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, Num Py).
• 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.
• Strong analytical thinking, stakeholder management, and communication skills.
• Experience with Snowflake, Databricks, or Hadoop/Spark environments.
• Exposure to data catalog or governance tools (Collibra, Alation).
• Familiarity with D&B data hierarchy, enrichment, or similar reference data systems.

• SQL (Postgre
  
  SQL, Snowflake, Redshift)
• Python (Pandas, Num Py, feature engineering)
• Tableau for visualization
• Git / Bitbucket for version control
• JIRA / Confluence for project tracking and documentation