The Senior Business Analyst is a critical client-facing role that will implement cloud-based big data analytic solutions for MedeAnalytics’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.

Key Responsibilities:

Client Leadership & Strategy

• 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.

Data Integration & Technical Enablement

• 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.

Analytics Design & Modeling

• Design dimensional models and OLAP cubes for healthcare analytics (e.g., cost/utilization, risk adjustment, quality).
• Support dashboard/report development using tools like Tableau, Power BI, or Looker.
• Perform exploratory data analysis to uncover insights and support client decision-making.

Post-Go-Live Support & Optimization

• Respond promptly to client inquiries in a professional manner.
• Troubleshoot data issues and coordinate resolution across engineering and testing teams.
• Identify opportunities for optimization in data pipelines, reporting structures, and metric definitions.
• Lead internal initiatives to improve onboarding processes, data quality, and client satisfaction.

Essential Skills, Experience and Education:

• Bachelor’s degree or equivalent experience required.
• Minimum 5 years client-facing consulting, Business Analyst, or Client Service experience; SaaS experience strongly preferred.
• Strong understanding of healthcare industry terminology (e.g., ACGs, diagnosis codes, claims, transactions).
• Experience working with Payer healthcare data sets.
• Proficiency in Python (e.g., pandas, requests, boto3) and SQL.
• Experience with cloud data platforms (AWS, Snowflake, Trino).
• Familiarity with data integration protocols (SFTP, REST APIs, cloud storage).
• Experience with JIRA or other ticket-based tracking systems.
• Skilled in Microsoft Suite (Excel, Word, PowerPoint, SharePoint, Teams).
• Excellent oral and written communication skills.

Additional Information:

MedeAnalytics believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is $100,000 – $120,000 USD. While this position is not bonus-eligible, it is part of our comprehensive total rewards program, which includes competitive benefits and opportunities for professional growth. Please note that actual compensation for all roles may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, relevant work experience, professional achievements/qualifications, skill level, business need, location and will be finalized at the time of offer.