Senior Data Quality Analyst
| Company | Hayden AI |
|---|---|
| Location | San Francisco, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- B.S. in an engineering discipline or equivalent
- 6+ years experience in data analysis or data quality domains
- 4+ years of experience working on data products
- Strong analytical and problem-solving skills with a keen eye for detail
- Demonstrated technical knowledge of product to be able to work with engineers
- Experience measuring performance of complex systems in real world applications
- Track record driving data quality with multidisciplinary technical teams
- Proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Power BI)
- Experience working with databases, data warehouses, and ETL processes
- Familiarity with data quality frameworks, profiling techniques, and validation tools
- Ability to communicate technical concepts clearly to non-technical stakeholders.
Responsibilities
- Measure data system performance end-to-end, using both manual and automated methods
- Work with engineering teams to develop and set data quality standards
- Build reports, dashboards, and queries for key performance indicators
- Build a deep understanding of customer use cases to identify risk, and gather the right data to influence change
- Investigate patterns and anomalies
- Help develop data safeguards and monitoring systems to insure quality
Preferred Qualifications
-
No preferred qualifications provided.