Role: Data QA
Experience Required-5+ Years
Location- India/Remote
Experience Required-5+ Years
Location- India/Remote
Company Overview
At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day.
We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results.
The Data Quality Analyst is responsible for ensuring the quality, accuracy, and consistency of data within the Customer and Loan Master Data API solution. This role will work closely with data owners, data modelers, and developers to identify and resolve data quality issues.
Responsibilities:
- Profile data to identify data quality issues.
- Define and implement data quality rules and standards.
- Perform data cleansing and data validation & Track data quality metrics and report on data quality issues.
- Work with data owners to resolve data quality issues.
- Monitor data quality trends and identify areas for improvement.
- Collaborate with data modelers to ensure data models support data quality requirements.
- Collaborate with developers to implement data quality solutions.
- Participate in data governance activities to ensure data quality and compliance.
- Stay up-to-date with emerging data quality technologies and trends.
Skills & Qualifications:
- Bachelor’s degree in Computer Science, Information Systems, or a related field.
- 5+ years Experience in Data Quality Assurance
- Sharepoint Testing / FTP or File data migration Testing
- Strong understanding of data quality principles and techniques.
- Experience with data profiling tools.
- Proficiency in SQL and data analysis.
- Knowledge of data governance principles and practices.
- Excellent communication, collaboration, and analytical skills.
- Ability to work independently and as part of a team.
#Data
