Lead Technical BI Analyst

Role Description

As an integral member of the Analytics Team, the Lead Technical Business Intelligence (BI) Analyst is responsible for individually contributing to and leading teams in the provision of technical expertise in one or more analytics toolsets to support the creation of information-based, business intelligence deliverables that will be relied upon by organizational leaders to support critical business decisions.

• Work with customers from clinical, administrative and/or operational areas across the System to provide analytical tools that drive insights, complex data extracts and data integration, reports and/or advanced dashboard visualizations.
• Facilitate discovery of insights, new opportunities, and support data-informed decision-making for identified challenges.
• Develop new and enhance existing metrics to analyze ongoing performance metrics.
• Lead initiatives to understand and define the problems being solved, procure and integrate disparate data sources, deliver relevant analytics tools, and implement solutions for ongoing utilization.
• Troubleshoot complex technical problems and serve in a lead technical advisory role to other BI, Specialized and Technical BI Analysts.
• May be responsible for projects to analyze and integrate disparate data sources to ETL into an EDW.

The Lead Technical Business Intelligence Analyst is a senior analytics professional responsible for developing and delivering data-driven solutions that support Population Health and Value-Based Care initiatives across Memorial Hermann.

• Partner with business, clinical, and payer stakeholders to analyze claims and healthcare performance data.
• Build Tableau dashboards and reporting solutions, providing actionable insights that improve patient outcomes and operational performance.
• Possess strong technical expertise in business intelligence and data visualization.
• Excel at problem-solving and managing competing priorities.
• Serve as a trusted advisor and mentor while leading complex analytics projects and driving continuous improvement across the organization.

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 strongly preferred.
• Technical certifications in relevant application(s) strongly preferred (i.e., Tableau).
• Associate Certified Analytics Professional (aCAP) or another vendor-neutral analytics certification preferred.

Requirements

• Expert proficiency with one or more of the following tools required, credentials/certification strongly preferred:
• Database and Query Languages – CCL, SQL, Nomad, Oracle, Vertica, Snowflake
• Visualization tools – Tableau (preferred), Spotfire, Sisense, Qlik or Microsoft PowerBI
• Data Visualization Server Administration tools – Tableau Core and Data Management Server
• Data Prep/Transformation tools – Tableau Prep, Hadoop, Alteryx, Paxata, Trifacta, Altair, Talend
• Statistical tools – R, SAS, SPSS, Matlab, Minitab
• Data Science tools – R, Python, SAS, dataiku, DataRobot, Cnvrg, Anaconda
• Proficiency with MS Office Suite: Excel (Pivot tables, VBA, Macros), Word, PowerPoint, Visio, Access, required.
• Minimum of 7 years professional experience collaborating with customers on the design, creation and execution of analytics deliverables.
• Minimum of 7 years professional experience in building self-service analytic reports, dashboards and/or tools supporting decision-making and actionable metric monitoring by customers.
• Ability to lead projects and teams independently to deliver results.
• Demonstrated experience and successful results from working in a dynamic, matrixed organization with executive exposure and engagement.
• Demonstrated critical thinking and expert creative problem-solving skills.
• Ability to visualize data in a meaningful way to communicate effectively.
• Exceptional time management skills and attention to detail.
• Excellent written and verbal communication skills.
• Proven ability to work independently and in a leadership capacity 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

• Lead, advise and support fellow members of the Analytics Team as well as individual analytics efforts across the System.
• Serve as expert-level, technical advisor and mentor to others offering high level support, mentorship, education and training.
• Ongoing interactions with subject matter domain experts within the organization.
• Lead projects to partner with respective customers to design, develop and implement high level analytic tools.
• Facilitate efforts and initiatives with the greater Analytics Team to develop the data architecture strategy.
• Active participation in and support of the Memorial Hermann Data Governance Program.
• Perform regular and ad-hoc user-friendly reports and visualizations for executive and client review.
• Proactive, continuous improvement of analytics services and operations.
• Provide support from data model, quality, integrity, validity analysis through resolution.
• Continually further analytics knowledge and technical skill set.
• Lead member of project teams accountable for developing curriculum and training new analytic professionals.
• Ensures safe care to patients, staff and visitors; adheres to all Memorial Hermann policies, procedures, and standards.
• Demonstrates commitment to caring for every member of our community by creating compassionate and personalized experiences.
• Other duties as assigned.