Data Quality Analyst Allianz Services
Allianz Services
Office Location
Full Time
Experience: 3 - 3 years required
Pay:
Salary Information not included
Type: Full Time
Location: Maharashtra
Skills: Data Quality, data science, data integrity, regulatory requirements, data governance, Root Cause Analysis, Data Management, Data teams, Data Lifecycle, Data Quality Performance Monitoring, Data Stewards, Data Delivery, Data Platform, Data Quality Rules, data quality tools, KPI Reporting
About Allianz Services
Job Description
The Data Quality Analyst will collaborate with business stakeholders, Data Science, and wider data teams to enhance data quality throughout the organization and ensure data credibility in its usage. You will be responsible for developing a robust framework for data quality to uphold data integrity for regulatory and strategic needs. You will identify and address potential data quality issues at all stages of the data lifecycle and monitor data quality performance using tools and processes to maintain the highest standards. In this role, you will work in close coordination with data stewards to resolve data integrity issues and guarantee the delivery of high-quality data. Additionally, you will closely collaborate with the data platform team and stakeholders to contribute to the implementation of the data quality framework and roadmap. It is essential to align data quality initiatives with the overall data governance strategies. As a Data Quality Analyst, you will perform detailed root cause analysis of data issues and provide recommendations for preventing future defects. You will propose enhancements to streamline processes and enhance data management. You will also be responsible for implementing data quality rules in data quality tools to ensure compliance with enterprise data quality standards and requirements. Furthermore, you will advocate for high-quality data, ensuring that valuable data is governed, compliant, and delivers optimal value by identifying and resolving issues. You will also play a key role in contributing to Data management KPI reporting by maintaining data quality scores.,