Senior Business Intelligence Analyst

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
  • Supply chain
• Work with customers across the organization to provide analytical insights from reports and/or dashboard visualizations.
• Facilitate discovery of new opportunities and support data-informed decision-making.
• 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.
• Understand and define problems, procure and integrate 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.
• Facilitate meetings, gather business needs, and translate complex information into actionable solutions.

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.
• Applicable certification or accreditation for domain expertise strongly preferred.

Requirements

• Minimum of 5 years professional experience providing similar analytics services.
• 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.
• Advanced proficiency with the following tools:
  • 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.
• Exceptional time management skills and attention to detail.
• Excellent written and verbal communication skills.
• Proven ability to work independently and as part of a team under established deadlines.
• Strong customer service, interpersonal, and relationship-building skills.

Benefits

• Promotes individual professional growth and development by meeting requirements for mandatory/continuing education and skills competency.
• Supports department-based goals which contribute to the success of the organization.
• Serves as preceptor, mentor, and resource to less experienced staff.

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 across the organization.
• Partner with respective customers to identify analytics insights and communicate them across the organizational matrix.
• Collaborate with the greater Analytics Team to develop the data architecture strategy and implementation plan.
• Perform regular and ad-hoc analysis to produce user-friendly data analysis, insights, reports, and/or visualizations.
• Continuous improvement of existing processes to identify data inconsistencies.
• Summarize analytical insights and communicate them to leadership and technical teams.
• Provide support from problem analysis through resolution to correct deficiencies within analytic applications.
• Ensure safe care to patients, staff, and visitors; adhere to all Memorial Hermann policies and procedures.
• Demonstrate commitment to caring for every member of our community by creating compassionate and personalized experiences.