Manager, Analytics Engineering, Corporate, FT, Day
About The Position
Inspire health. Serve with compassion. Be the difference. Job Summary The Manager, Analytics Engineering leads a team to design, build, and maintain robust data pipelines, models, and analytics infrastructure, ensuring high-quality, scalable data assets for business insights and decision-making. Key responsibilities include setting technical vision, enabling product impact, fostering cross-functional partnerships, and upholding best practices in data engineering and governance to support strategic objectives and drive continuous improvement. Essential Functions All team members are expected to be knowledgeable and compliant with Prisma Health's purpose: Inspire health. Serve with compassion. Be the difference. Oversees the entire lifecycle of data pipelines and models, from design to deployment and maintenance, ensuring data quality, integrity and scalability. Defines and executes a strategic roadmap for analytics engineering, including architecture and data modeling patterns. Partners with leaders in product, engineering, data science, and business teams to align on priorities and understand data needs. Translates complex business needs into effective technical solutions and communicate technical details to various audiences. Delivers high-quality data assets and tools that enhance operational efficiency, support product growth and enable data-driven decision-making across the organization. Establishes and enforces best practices for engineering, testing, documentation, and data governance to maintain quality and compliance. Performs other duties as assigned.
Requirements
- Education - Bachelor's Degree in Finance, Accounting, Healthcare Administration, Informatics, Mathematics or Business-related degree with an emphasis on quantitative analysis
- Experience - Five (5) years of experience in Financial, Informatics, Quantitative and Statistical analysis
- Computer skills (word processing, spreadsheets, database, data entry)
- Knowledge of data modeling, and cloud platforms
- Proficiency in SQL for data manipulation, and experience with programming languages
- Proficiency with analytic tools such as Snowflake, Sigma, PowerBI, Tableau for visualization.
- Communication, problem-solving, and critical thinking skills, along with the ability to guide a team.
Responsibilities
- Oversees the entire lifecycle of data pipelines and models, from design to deployment and maintenance, ensuring data quality, integrity and scalability.
- Defines and executes a strategic roadmap for analytics engineering, including architecture and data modeling patterns.
- Partners with leaders in product, engineering, data science, and business teams to align on priorities and understand data needs.
- Translates complex business needs into effective technical solutions and communicate technical details to various audiences.
- Delivers high-quality data assets and tools that enhance operational efficiency, support product growth and enable data-driven decision-making across the organization.
- Establishes and enforces best practices for engineering, testing, documentation, and data governance to maintain quality and compliance.
- Performs other duties as assigned.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Number of Employees
5,001-10,000 employees
