GenAI DQ Analyst

Jersey City - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

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 companys data assets.

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...