Senior Business Analyst
Listed on 2026-08-18
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IT/Tech
Data Analyst, Business Systems & Technology Analysis, Business Intelligence
About Mede Analytics
Mede Analytics is the Enterprise Healthcare Performance company that delivers AI-driven, cloud-native solutions to help payers, risk-bearing providers and other value- and risk-bearing entities measurably improve performance by reducing costs, improving quality and MLR, optimizing utilization, increasing reimbursement, and elevating care quality across all lines of business. Its enterprise health data management platform—built on its proprietary Health Fabric™—unifies clinical, claims, financial, and social data into a single, scalable source of truth that fuels insights, action, and AI.
AboutMede Analytics
Mede Analytics is the Enterprise Healthcare Performance company that delivers AI-driven, cloud-native solutions to help payers, risk-bearing providers and other value- and risk-bearing entities measurably improve performance by reducing costs, improving quality and MLR, optimizing utilization, increasing reimbursement, and elevating care quality across all lines of business. Its enterprise health data management platform—built on its proprietary Health Fabric™—unifies clinical, claims, financial, and social data into a single, scalable source of truth that fuels insights, action, and AI.
As the industry’s healthcare intelligence partner of choice for more than 30 years, Mede Analytics combines its platform, cross-domain enterprise analytics, AI-powered workflows, and Strategic Advisory™ services to transform intelligence into accountable execution—delivering greater ROI across value-based care, risk and quality, cost and utilization management, and network optimization. Mede Analytics empowers organizations to move faster from insight to impact with confidence and measurable results.
To learn more, visit and follow Mede Analytics on Linked In and Facebook.
The Senior Business Analyst is a critical client-facing role that will implement cloud-based big data analytic solutions for Mede Analytics’s healthcare payer and provider clients. This role blends strategic consulting, technical data integration, and dimensional modeling to help clients unlock the full value of their data in cloud-based analytics platforms. You will guide clients through landing data in the cloud (e.g., via SFTP, API, S3 buckets), trace data lineage, join disparate datasets, and design metrics, cubes, and dimensions that align with their business models.
You will play a key role in onboarding new clients, translating business requirements into scalable data solutions, and ensuring a smooth transition into our analytics ecosystem. In addition to leading implementations, you will serve as a trusted partner post-go-live, supporting clients’ day-to-day analytics needs, troubleshooting data issues, and identifying opportunities for optimization and enhancement. As a senior contributor, you will be looked upon to drive internal optimizations, efficiencies, and strategic initiatives, contributing to product and platform evolution, process improvement, and cross-functional collaboration.
- Act as the primary point of contact for client onboarding, production support and analytics strategy.
- Conduct client-facing meetings to gather and document detailed business requirements.
- Translate business needs into technical specifications and data requirements.
- Recommend optimal metrics, dimensions, and cube structures tailored to payer or provider use cases.
- Build collaborative partnerships with internal and external stakeholders.
- Guide clients through secure data ingestion using SFTP, REST APIs, and AWS S3 buckets.
- Collaborate with engineering teams to ensure successful data landing and transformation in cloud platforms (AWS, Snowflake, Trino).
- Join and reconcile disparate datasets and trace data lineage from source to target.
- Collaborate with technical team members to develop or enhance Python scripts used in data validation, transformation, and automation.
- Maintain thorough documentation of client-specific configurations and data flows.
- Design dimensional models and OLAP cubes for healthcare…
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