Sr Data Analyst

We're actively seeking a talented Sr Data Analyst to join our team in Newport Beach, CA. Relocation Assistance may be provided.

The Sr Data Analyst role is a strong functional and Engineering/technical and analytics-focused role responsible for building and operationalizing scalable data quality and observability framework, data profiling tools and processes, data governance and providing services and solutions aligned with overall Pacific Life's PL Data Management strategy, Data Governance organization in PL Data for Workforce benefits (WBD).

This role combines data engineering, data analysis, and data quality management to ensure reliable, high-quality, and trusted data across enterprise data platforms. The individual will design and implement data pipelines, observability frameworks, and quality controls, while partnering with business and data stakeholders to enable data-driven decision making and improve data reliability at scale.

- As Sr Data Analyst within Enterprise DG organization, lead Data Quality and Governance for Workforce Benefits Division (WBD), manage asset certification program for data, data metrics , reports, and a multi-faceted communication and engagement plan with the WBD data community. - Partner with data architects, engineers, analysts, and business stakeholders to gather requirements and translate business needs into clear technical solutions. - Lead requirements workshops, backlog refinement, and stakeholder discussions; document business, functional, and technical requirements. - Strong hands-on experience in data analysis using SQL, Python, and data profiling techniques to identify anomalies, data quality issues, gaps, and inconsistencies across source and target systems. - Develop and maintain data quality metrics, scorecards, and monitoring dashboards to track data reliability and pipeline health. - Conduct root cause analysis and remediation of data issues, working across upstream and downstream systems. . - Support data governance initiatives, including metadata management, data lineage, data certification, and business glossary maintenance. - Ensure compliance with data standards, controls, and regulatory requirements for sensitive data (PII/PHI). - Work within Agile delivery teams to prioritize, manage, and execute work effectively.

- BS in Computer Science, Mathematics, Finance, or related field. Master's degree preferred. - Minimum of 6+ years of professional experience in Data analysis, Data Quality, Engineering, related roles - Expert level SQL and strong python programming skills, Strong hands-on experience with SQL for data analysis, validation, and troubleshooting data issues. - Experience building or supporting data pipelines, ETL processes, or data workflows. - Experience working with cloud-based data platforms (AWS, Azure, Snowflake, etc.). - Strong experience with data profiling, anomaly detection, and root cause analysis. - Experience working on complex business/technology initiatives within and across multiple verticals/domains. - Ability to analyze complex data issues and determine appropriate policies, standards, and solutions to enhance the experience for data users.

- Experience with regulated data environments (PII/PHI). - Experience in Group Insurance domain. - Strong experience in SQL and python. - Experience working with AWS, Snowflake, DBT

- We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential. What's life like at Pacific Life?

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