Data Governance Analyst | Hybrid - Allianz - Minneapolis

Job description

As the Data Governance Analyst you will focus on the technical side of the Data Governance program, supporting the other Analysts with the data analysis and system research necessary for the Data Governance team to support the Allianz Life’s need for accessible, understood, quality data to support data-driven business decisions.

You will be an essential player in the Data Quality Improvement process as you monitor data quality, research root causes, and recommend remediation solutions. Your data profiling will ensure the appropriate data quality checks are in place on critical data elements.

Your business and system knowledge will pair with your technical skills to translate business requirements and logic into technical logic for implementation on a large data platform.

Key Responsibilities:

Design, develop, and execute data quality checks and validation processes across multiple data sources
Perform comprehensive data profiling to assess data quality, structure, and content
Monitor, analyze, and report on data quality metrics, identifying trends and anomalies
Conduct root cause analysis and defect research to resolve data quality issues, including missing, duplicate, or inconsistent data
Recommend and facilitate improvements to data collection, storage, and processing procedures
Collaborate with data engineers, business analysts, and stakeholders to understand data requirements and quality expectations
Translate business requirements and rules into technical logic for implementation in Azure data platform
Develop and maintain documentation for data governance standards, processes, and best practices
Design and maintain reports and dashboards to communicate data quality status to management and stakeholders

Preferred Skills:

Experience with data analysis including data querying, profiling, transformation
Knowledge of data warehousing concepts and ETL processes
Experience with data quality tools (e.g., Informatica Data Quality)
Communication across technical and business teams; stakeholder management
Problem-solving, critical thinking, and adaptability
3-5 years of experience in insurance/financial services
Development experience in PySpark for large-scale data processing (Optional)
Utilization of artificial intelligence tools and resources (e.g. generative AI)

Offers “Allianz”

Job description