Experience Requirements: 8+ years in data analytics, business analysis, or data management. Skills Requirements:
8–12 years of experience in data analytics, business analysis, or data management.
Proficiency in SQL (PostgreSQL, Snowflake, Redshift), Python (Pandas, NumPy), Tableau for visualization, Git / Bitbucket for version control, JIRA / Confluence for project tracking and documentation
Advanced SQL expertise for querying and optimizing large datasets.
Proficiency in Python (Pandas, NumPy) for data analysis and feature engineering.
Experience with Tableau or similar BI tools for visualization and storytelling.
Strong understanding of data architecture, governance, MDM, and lineage.
Proven ability to identify and scope data use cases and convert insights into recommendations.
Excellent analytical thinking, stakeholder management, and communication skills.
Experience with Snowflake, Databricks, or Hadoop/Spark environments.
Familiarity with data catalog/governance tools (Collibra, Alation).
Exposure to D&B data hierarchy or similar reference data systems.