Join a leading global health organization focused on leveraging technology to enhance well-being for millions. This role is pivotal in connecting individuals with the essential care, pharmacy benefits, data, and resources needed to thrive. You will be part of an inclusive culture, collaborating with talented colleagues and benefiting from comprehensive development opportunities.

Advance your career while making a significant impact on community health and global health optimization. This is an opportunity to embody our core values: Caring, Connecting, and Growing together.

As a Data Engineering Analyst, you will serve as the crucial link between business needs and technical solutions, ensuring the delivery of robust data, reporting, and analytics.

Key responsibilities include: - Gathering and documenting business requirements, translating them into user stories, business rules, and technical specifications. - Developing and maintaining SQL queries, data transformation processes, and reporting datasets. - Rigorously testing and validating data pipelines, reports, and enhancements to ensure accuracy. - Investigating and resolving complex data quality and production issues promptly. - Performing ad hoc data analysis and generating reports to support decision-making. - Collaborating effectively with stakeholders, developers, and product teams. - Supporting data governance initiatives, process improvements, and comprehensive documentation. - Designing and implementing repeatable processes for data consolidation and transformation, creating unified and trusted business views. - Providing technical expertise and support for service requests from end-users and business partners. - Adhering to all company policies, procedures, and directives.

We are seeking candidates with a strong foundation in data engineering and analysis.

Required qualifications include: - An undergraduate degree or equivalent practical experience. - Proficiency in SQL and demonstrated experience in data analysis. - Solid understanding of data warehousing principles, ETL/ELT processes, and reporting concepts. - Proven analytical and troubleshooting skills, coupled with excellent communication abilities. - Demonstrated capability in resolving issues related to data integrity, reports, dashboards, data access, data models, and table relationships.

Preferred qualifications include experience with modern data stack tools such as Snowflake, dbt, Airflow, or various BI platforms.