Senior Business Intelligence Analyst
Memorial Hermann Health System
Role Description
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 with customers across the organization in clinical, administrative, and/or operational areas to provide analytical insights from reports and/or dashboard visualizations.
- Facilitate discovery of new opportunities and support data-informed decision-making for identified challenges.
- Develop new and enhance existing metrics to analyze ongoing performance metrics.
- Communicate insights and opportunities to leadership and analytical needs to technical teams.
- Serve as a domain expert and mentor to other team members supporting projects outside their specialized domain.
- Understand and define the problems being solved, procure and integrate necessary data sources, and deliver relevant analytics tools.
- 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.
- Act as a key liaison between stakeholders and technical teams, facilitating meetings and gathering business needs.
Qualifications
- 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.
- Associate Certified Analytics Professional (aCAP) or another vendor-neutral analytics certification preferred.
- Minimum of 5 years professional experience providing similar analytics services for this role to one or more domain areas.
- Minimum of 5 years professional experience collaborating with customers on the design, creation, and execution of analytics deliverables.
- Minimum of 5 years professional experience in building self-service analytic reports, dashboards, and/or tools.
- Demonstrated experience and successful results from working in a dynamic, matrixed organization with executive exposure.
- Advanced proficiency with MS Office Suite, SQL, and visualization tools (Tableau preferred).
- Demonstrated critical thinking and advanced creative problem-solving skills.
- Exceptional time management skills and attention to detail.
- Excellent written and verbal communication skills.
Requirements
- Strong interpersonal, communication, and relationship-building skills.
- Proven ability to facilitate meetings and translate complex concepts into practical solutions.
- Customer-focused, proactive problem solver with strong critical thinking skills.
- Experience supporting clinical or healthcare operations and understanding of clinical workflows is preferred.
- Interest in emerging technologies, including predictive analytics and AI.
Benefits
- Create a positive work environment that fosters successful team performance.
- Promote individual professional growth and development through mandatory/continuing education and skills competency.
- Support department-based goals contributing to the success of the organization.
Principal Accountabilities
- Serve as the analytics domain expert for assigned area(s) and advise/support others.
- Act as advisor and mentor to others offering high-level support, mentorship, education, and training.
- Ongoing interactions with customers, leadership, and teams to enhance knowledge of business processes.
- Partner with customers to identify analytics insights and communicate opportunities across the system.
- Collaborate with the greater Analytics Team to develop data architecture strategy and implementation plan.
- Perform regular and ad-hoc analysis to produce user-friendly data analysis and insights.
- Ensure safe care to patients, staff, and visitors; adhere to all policies and procedures.
- Demonstrate commitment to caring for every member of the community by creating compassionate experiences.
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