Data Quality Analyst, Snowflake & SQL
Overview
You own data quality for Spectrum Reach, ensuring trusted data for business and technical teams. You bridge business needs and technical execution while staying hands-on with data tools. Working with Snowflake, SQL, and AI capabilities, you resolve partner issues and improve data velocity. This role stands out for its mix of technical depth and business communication in an onsite team.
What You'll Do7
- 1Build data quality checks in Snowflake to monitor and validate incoming data feeds.
- 2Debug and resolve data issues reported by partners, applications, or downstream consumers.
- 3Design automated validation scripts in SQL to reduce manual data review.
- 4Drive root cause analysis for recurring data quality incidents and implement fixes.
- 5Collaborate with data engineers to improve pipeline reliability and data lineage.
- 6Leverage AI tools to accelerate issue detection and resolution workflows.
- 7Document data quality standards and communicate findings to non-technical stakeholders.
Requirements7
- 13+ years in data quality, data analysis, or data engineering roles.
- 22+ years querying large datasets with SQL.
- 3Hands-on experience with Snowflake or similar cloud data warehouses.
- 4Working knowledge of AI and machine learning concepts to improve data workflows.
- 5Strong problem-solving skills with the ability to trace data lineage.
- 6Experience with data quality frameworks or tools like Great Expectations or dbt is a plus.
- 7Bachelors degree in Computer Science, Information Systems, or related field.
Salary Insight
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