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Allianz Life

Data Governance Analyst | Hybrid

Allianz Life, Minneapolis, Minnesota, United States, 55400

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Data Governance Analyst | Hybrid Join to apply for the

Data Governance Analyst | Hybrid

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Allianz Life

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 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)

Job posting range: $57,000 – $84,000. This role is also eligible for an annual incentive program. Salary will be determined based on geographic location, experience, skills, competencies, education, and internal equity.

What We Offer We provide a benefits package that supports the true balance of our employees and their families, including comprehensive medical, dental, vision, flexible spending and health savings accounts, tuition reimbursement, student loan retirement program, generous annual paid leave, a 401(k) match, and life insurance. Employees enjoy on‑site health center, child development center, fitness facility, convenience store, cafeterias, and an award‑winning campus. We foster a culture of inclusion through Employee Resource Groups and other initiatives.

Allianz Group is one of the most trusted insurance and asset management companies in the world. We welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.

Great to have you on board. We care for tomorrow.

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