Data Quality Analyst
About The Position
CerebriOS is a software company building B2B SaaS products that help businesses make better decisions, streamline operations, and get more value from their data. Our products combine practical business workflows with intuitive technology designed for everyday use. We are looking for a Data Quality Analyst to help ensure that the data supporting our products and business operations is accurate, complete, and reliable. You will perform data validation and quality checks, investigate inconsistencies, and work with Data, Product, Engineering, and Operations teams to identify and resolve data issues. This role is a strong fit for someone who is detail-oriented, analytical, and enjoys investigating why data does not look right and finding practical ways to improve its quality.
Requirements
- 1+ year of experience in data analysis, data quality, data operations, reporting, or a similar role
- Strong attention to detail and commitment to data accuracy
- Strong analytical and problem-solving skills
- Comfortable working with spreadsheets and structured data
- Ability to investigate discrepancies and identify patterns
- Strong written and verbal English communication skills
- Organized approach to documenting and tracking issues
- Comfortable working independently in a remote environment
Nice To Haves
- Experience with SQL
- Experience with Excel or Google Sheets, including formulas and data validation
- Familiarity with databases and basic data concepts
- Experience with BI or reporting tools
- Experience working with SaaS or technology products
- Familiarity with Jira, Confluence, or similar tools
- Basic understanding of data pipelines, integrations, or APIs
Responsibilities
- Perform regular data quality checks across internal and product data
- Identify missing, inaccurate, inconsistent, or duplicate data
- Investigate data discrepancies and help determine their root causes
- Validate data following system updates, imports, and process changes
- Maintain data quality rules, checklists, and documentation
- Track data quality issues and coordinate their resolution with relevant teams
- Prepare reports on data quality findings and recurring issues
- Monitor data trends and identify potential quality problems
- Collaborate with Data, Engineering, Product, and Operations teams to improve data reliability
- Support testing and validation of new data workflows and product features
- Recommend improvements to data processes and quality controls
Benefits
- Professional development opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
