Enterprise Data Custodian

Position Summary

The Data Quality Analyst is responsible for ensuring the accuracy, consistency, and reliability of enterprise data across systems and analytical platforms. This role focuses on executing data quality assessments, identifying issues, performing root‑cause analysis, and collaborating with cross‑functional teams to maintain high-quality data standards. The ideal candidate will have strong technical skills in SQL, Python, and data warehousing concepts, with Snowflake experience considered a strong advantage.

Key Responsibilities

• Perform data quality audits, profiling, validation, and cleansing activities across multiple datasets and systems.
• Identify data anomalies, inconsistencies, and gaps; investigate issues and drive timely resolution.
• Partner with data engineering, analytics, and business teams to define and enforce data quality rules, metrics, and governance standards.
• Analyze large datasets using SQL and Python to diagnose issues and propose remediation steps.
• Develop and maintain data quality reports, dashboards, and monitoring processes.
• Support data warehouse-related initiatives, ensuring accurate ingestion, transformation, and storage of data.
• Contribute to continuous improvement of data quality processes, documentation, and best practices.
• Communicate insights, findings, and recommendations effectively to technical and non‑technical stakeholders.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field.
• Strong hands-on experience with SQL (complex queries, joins, analytics functions).
• Proficiency in Python for data processing and analysis.
• Solid understanding of data quality concepts, data governance, metadata, and data lifecycle management.
• Strong knowledge of data warehouse concepts (dimensions, facts, ETL/ELT, schemas).
• Excellent analytical thinking, problem‑solving, and troubleshooting skills.
• Strong communication skills with the ability to present findings clearly.
• Demonstrated ability to work collaboratively as a team player in cross‑functional environments.

Preferred / Nice-to-Have Skills

• Experience with Snowflake (warehouse architecture, SQL, features such as stages, tasks, streams, tagging).
• Familiarity with data quality tools (Informatica IDQ/CDQ, Talend, Great Expectations, etc.).
• Experience in building automated data validation frameworks.
• Experience in building Power BI dashboards 

Personal Attributes

• Detail‑oriented with a passion for clean, reliable data.
• Self‑motivated and proactive in identifying and proposing improvements.

Ability to manage multiple priorities and deadlines.