Job Description
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 building dashboard using AI or similar visualization
frameworks for data 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.
* 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) - no deep ML modeling expertise required.
* 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.
Environment & Tooling Stack
* SQL (PostgreSQL, Snowflake, Redshift)
* Python (Pandas, NumPy, feature engineering)
* AI for visualization
* Git / Bitbucket for version control
Job Tags
Hourly pay, Full time, Part time, Seasonal work
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