Senior Engineer – Performance & Insights

Bloom•Bloomington, IN

18h

About The Position

Bloom, the insurance industry’s trusted growth partner, is seeking a Senior Engineer, Reporting & Insights to strengthen our data-driven approach to member engagement and program optimization. This role will build and maintain the reporting infrastructure, analytics pipelines, and predictive capabilities that directly impact member outcomes and program effectiveness. As a key individual contributor within the Technology organization, this engineer will bridge technical and business functions, transforming complex engagement data into actionable insights that optimize member experiences and drive measurable program results. The ideal candidate will combine deep technical expertise with business acumen and a passion for leveraging data to improve member engagement strategies. We are looking for an exceptional individual who can:

Requirements

Bachelor’s degree in Business, Analytics, Computer Science, or related field; or equivalent experience
5+ years of experience in Analytics, Data Engineering, or Clinical Analytics required
Prior healthcare industry experience required
Proven experience with AWS/Redshift and modern BI tools (Metabase, PowerBI, or similar)
Strong SQL proficiency with demonstrated expertise in Redshift query optimization
Experience with statistical programming languages (R/Python) for predictive modeling
Experience designing and implementing large-scale dashboard solutions for performance monitoring
Expertise in predictive analytics, member segmentation, and engagement modeling techniques
Knowledge of modern data architecture and ETL processes in cloud environments
Demonstrated experience with Agile methodology and project management
Strong collaboration skills and ability to build effective working relationships with business stakeholders, particularly program and engagement leaders
Excellence in translating complex technical concepts and predictive insights for non-technical audiences
Ability to balance strategic thinking with tactical execution while maintaining focus on measurable member outcomes

Responsibilities

Design, build, and maintain scalable reporting solutions and interactive dashboards that deliver actionable insights on member engagement metrics, program performance, and intervention effectiveness.
Collaborate with Technology teams including Data Engineering, Software Engineering, and Architecture to drive cross-functional initiatives and ensure robust data solutions for member engagement analytics.
Champion data integrity and governance across our cloud-based data environment, ensuring consistent and reliable access through modern analytics platforms including Metabase and PowerBI.
Develop and maintain strong working relationships with Member Engagement, Call Center Operations, and other business stakeholders to understand program objectives, member needs, and opportunities for improvement.
Contribute to the evolution of our member engagement data strategy by identifying new data sources, predictive analytics capabilities, and technological improvements needed to optimize program performance.
Build and monitor key performance indicators (KPIs) for member engagement programs that align with organizational priorities and drive measurable member outcomes.
Execute complex predictive analytics initiatives utilizing advanced techniques to forecast member behavior, identify engagement opportunities, and optimize program intervention.
Develop and optimize SQL views, queries, and data models within AWS Redshift to support reporting and analytics workloads.
Conduct root cause analyses of engagement patterns and perform statistical validation of program hypotheses, ensuring data-driven optimization of member engagement
Communicate complex analytical findings to non-technical stakeholders, providing clear recommendations for program improvements.
Troubleshoot and resolve data pipeline issues and improve data quality throughout the member engagement data ecosystem.