Overview
On Site
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 30 day((s))
100% Travel
Skills
SQL
Data Profiling
Issue Tracking
Python
Data Integrity
Data governance
Cross-Functional Collaboration
Microsoft Excel
data quality analysis
Snowflake
Palantir Foundry
Data Rule Definition
Data Anomaly Detection
Business Rule Application
Agile Methodologies
Analytical Thinking
Attention to Detail
Problem Solving
Insurance Industry Knowledge.
Job Details
- Conduct comprehensive data profiling on all source systems (e.g., Snowflake, Foundry, Excel) to identify data characteristics and anomalies.
- Identify, analyze, and document patterns, inconsistencies, and rule violations within datasets.
- Work closely with development and data quality teams to define, refine, and validate data rules.
- Raise, track, and manage data issues that could impact application trust, scalability, or downstream processing.
- Provide continuous feedback loops to the development team during the development lifecycle, surfacing defects early.
- Collaborate with various Data Offices and Data Quality (DQ) teams to understand and apply existing business rules.
- Ensure the consistency and integrity of data quality practices.
- Contribute to long-term efforts in improving data quality and integrity across all systems.
- Proven experience working with large datasets in platforms like Microsoft Excel, Snowflake, and Palantir Foundry.
- Strong analytical mindset and an exceptional attention to detail.
- Experience and proficiency in writing SQL and Python.
- The ability to "rip into a spreadsheet" to surface insights and discrepancies.
- Experience in data profiling or data quality analysis.
- Experience writing data quality rules.
- Comfortable working cross-functionally with developers, product leaders, and business users.
- Preferred Traits:
- Insurance Industry knowledge.
- Experience working as part of agile teams.
- Curious and persistent in finding the "why" behind data inconsistencies.
- A self-starter who enjoys solving data puzzles and embraces new challenges.
- Capable of ramping up quickly on new systems and business domains.
- Interested in making a strategic, long-term impact on the company's data assets.
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