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We are seeking a Google Cloud Platform - GCP and Power Platform Developer with deep experience in Pharmacy Benefit Management (PBM) to drive analytics, reporting, and insights across pharmacy claims, formulary management, rebates, utilization, and cost trends. In this role you will leverage Google Cloud Platform (GCP) for scalable data processing and Microsoft Power Platform (Power Apps, Power Automate, Power BI,) for analytics delivery and business enablement.
Job Responsibility:
Analyze large-scale PBM datasets including pharmacy claims, eligibility, formulary, utilization, rebate, and pricing data
Support executive, clinical, and operational decision-making through data-driven recommendations
Design, develop, and optimize analytics solutions using Google BigQuery, Cloud Storage, and GCP-native tools
Build and maintain performant SQL queries, views, and datasets for PBM performance, KPIs, and regulatory reporting
Ensure data quality, integrity, and compliance across cloud-based data pipelines
Develop and maintain Power App. Utilize Power Automate to streamline workflows and data refresh processes
Collaborate on Power Apps solutions to support operational and analytical use cases
Work closely with operations, finance, clinical teams, compliance, and IT. Partner with data engineering teams to optimize data ingestion and modeling strategies
Translate business requirements into technical and analytical solutions
Present complex analytical findings in clear, actionable formats to non-technical audiences
Document data definitions, metrics, and business logic to support transparency and audit readiness
Requirements:
5+ years of data analytics experience, with direct PBM or pharmacy healthcare experience
Solid experience in SQL, especially for large-scale analytical datasets
Hands-on experience with Google Cloud Platform, particularly BigQuery
Advanced experience with Power App, Power automate
Bachelor’s degree in Data Analytics, Health Informatics, Computer Science, Statistics, or related field
Nice to have:
Knowledge of SAS, vbs or Python for advanced analytics
Experience with cloud data warehousing and analytics at scale
Solid understanding of PBM concepts such as: Pharmacy claims processing, Formularies and utilization management and Specialty pharmacy and adherence metrics
Master’s degree in Math, Computer Science, Information Technology, Statistics, or a related field is preferred
What we offer:
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility