Senior Analyst, Hub Data & Analytics

Accountabilities: Develop scalable analytics and self-service solutions, including dashboards, reports, datasets, and decision-support tools using Power BI, Databricks, SQL, and other modern analytics platforms. Collaborate directly with business leaders to understand strategic and operational challenges, translate ambiguous business needs into structured analytical approaches, and deliver actionable recommendations. Establish and maintain key performance indicators (KPIs), business definitions, measurement methodologies, and reporting frameworks to monitor business performance and identify improvement opportunities. Support data governance and stewardship initiatives by defining data ownership, quality standards, documentation, business definitions, and appropriate data usage. Partner with Technology teams and other stakeholders to build trusted, scalable data assets and develop analytical capabilities that support evolving business requirements. Design and prototype new analytical solutions, including capabilities for potential external use cases, and support their transition into production environments. Identify and resolve data-quality issues, inconsistencies, and source-of-truth challenges to improve the reliability and usability of business information. Independently manage analytical initiatives from initial problem definition through solution development, implementation, and performance measurement. Requirements Bachelor's degree and at least 5 years of experience in analytics, business intelligence, data strategy, consulting, or a related discipline. Strong hands-on SQL experience, including querying, transforming, integrating, and analyzing complex datasets. Demonstrated experience developing analytical and self-service solutions using Power BI, Databricks dashboards, or comparable modern analytics platforms. Strong analytical and critical-thinking abilities, with the capacity to translate complex or ambiguous business questions into structured approaches and practical recommendations. Experience working directly with business stakeholders to define requirements, KPIs, business rules, and analytical methodologies. Excellent written and verbal communication skills, including the ability to explain technical concepts and analytical findings to business leaders. Ability to work independently and adapt to a fast-growing or evolving business environment where processes, data structures, and requirements may still be developing. Strong organizational skills and the ability to manage complex initiatives while maintaining a focus on quality and measurable outcomes. Preferred qualifications: Experience in specialty pharmacy, pharmaceutical hub services, patient services, specialty medications, or related healthcare operations. Familiarity with healthcare datasets, including pharmacy, claims, patient, provider, and benefits information. Knowledge of data governance, stewardship, metadata, data lineage, business definitions, and data-quality management. Experience developing reusable datasets, data products, dashboards, and reporting capabilities. Demonstrated ability to independently lead complex projects from problem identification through implementation and evaluation. Previous experience establishing analytics or data capabilities for a new or rapidly expanding business or operational function. Candidates with strong analytical, technical, and consulting experience are encouraged to apply, even if they do not meet every preferred qualification. Benefits Salary: Annual base salary ranging from $97,900 to $133,500, depending on qualifications, experience, skills, and geographic location. Performance incentives: Eligibility for a bonus incentive plan based on individual and/or company performance. Healthcare coverage: Medical, dental, and vision insurance. Retirement: 401(k) retirement savings plan. Paid time off: Paid vacation, company holidays, and personal holidays. Family support: Paid parental and caregiver leave. Financial protection: Short-term and long-term disability coverage and life insurance. Work flexibility: Fully remote position open to candidates across the United States. Work schedule: Full-time position, 40 hours per week. Additional flexibility: Occasional travel may be required for meetings or training. Remote work requirements: Reliable internet connection with minimum speeds of 25 Mbps download and 10 Mbps upload, plus a dedicated and secure workspace to protect confidential healthcare information.