Data Analyst/Engineer (Local to Austin, TX) - W2 candidate

Required Skills & Qualifications:
•Strong analytical thinking, stakeholder management, and communication skills.
•Proven track record in identifying and scoping new data use cases and converting insights into business recommendations.
•Deep understanding of data architecture, governance, MDM, and data lineage.
•Familiarity with D&B data hierarchy, enrichment, or similar reference data systems.
•Exposure to data catalog or governance tools (Collibra, Alation).
•Experience with Snowflake, Databricks, or Hadoop/Spark environments.
•Basic working knowledge of AI/ML concepts and exposure to AI-assisted tools (e.g., Copilot-style coding assistants, LLM-based chat/analytics tools, or prompt engineering for data tasks).-Deep ML modeling expertise is not required.
•Experience building dashboards using AI or similar visualization frameworks for data storytelling and reporting.
•Proficiency in Python for data analysis, transformation, and feature engineering (Pandas, NumPy).
•Advanced SQL expertise with the ability to query and optimize large, complex datasets.
•8–12 years of experience in data analytics, business analysis, or data management.