Sr. Business Intelligence Analyst; Remote

Job Summary

As an integral member of the Analytics Team, the Senior Specialized Business Intelligence (BI) Analyst is responsible for creating advanced, information-based, business intelligence deliverables that will be relied upon by organizational leaders to support critical business decisions.

• Provide domain expertise in one or more specific areas such as clinical, consumer experience, finance, human resources, marketing, medical insurance, operational effectiveness, and/or supply chain.
• Work primarily with customers across the organization in clinical, administrative, and operational areas to provide analytical insights from reports and dashboard visualizations to facilitate discovery of new opportunities, support data‑informed decision‑making for identified challenges, and develop new and enhance existing metrics to analyze ongoing performance measures.
• Execute domain‑specific requests to transform data and information into actionable insights that answer complex business questions.
• Communicate insights and opportunities to leadership, convey analytical needs to technical teams, and serve as a domain expert and mentor to other team members on projects outside their specialized domain.
• Collaborate with customers to understand and define problems, procure and integrate the data sources required for analysis, deliver relevant analytics tools to meet objectives, and implement and support solutions for ongoing utilization.
• Partner with clinical, operational, and technical teams to deliver data‑driven solutions that improve business processes and support strategic decision‑making across the health system.
• Act as a key liaison between stakeholders and technical teams, facilitating meetings, gathering business needs, supporting users, and translating complex information into actionable solutions.

Strong interpersonal, communication, and relationship‑building skills with the ability to collaborate effectively across technical and non‑technical teams.

Proven ability to facilitate meetings, gather business requirements, and translate complex concepts into practical solutions.

Customer‑focused, proactive problem solver with strong critical thinking skills and a willingness to take initiative.

Experience supporting clinical or healthcare operations and an understanding of clinical workflows is preferred.

Interest in emerging technologies, including predictive analytics and AI, with a continuous learning mindset.

• Education:
  
  Bachelor’s degree, preferably in computer science, management information systems, data science, business administration, statistics, or related field, or equivalent experience required.
• Master’s degree preferred.
• Licenses/Certifications:
  
  Associate Certified Analytics Professional (aCAP) or another vendor‑neutral analytics certification preferred. Applicable certification or accreditation for domain expertise strongly preferred.

• Minimum of 5 years professional experience providing similar analytics services for this role to one or more domain areas, as needed.
• Minimum of 5 years professional experience collaborating with customers on the design, creation and execution of analytics deliverables.
• Minimum of 5 years professional experience building self‑service analytic reports, dashboards and/or tools supporting decision‑making and actionable metric monitoring by customers.
• Demonstrated experience and successful results from working in a dynamic, matrixed organization with executive exposure.
• Advanced proficiency with the following tools, as necessary for position:
  • MS Office Suite:
    Excel (Pivot tables, VBA, Macros), Word, PowerPoint, Visio, Access (Required)
  • Database querying: SQL
  • Visualization tools – Tableau (preferred), Sisense, Qlik or Microsoft PowerBI
  • Statistical tools – R, Python, SAS, SPSS or other statistical tools for data analysis (Preferred)
• Demonstrated critical thinking and advanced creative problem‑solving skills and aptitude to exert influence without authority through interpreting requirements and guiding customers to the desired analytics outcomes.
• Analytic mindset able to draw conclusions from raw data…