Lead Technical BI Analyst

Memorial Hermann Health System

Lead Technical Business Intelligence Analyst responsible for delivering data-driven solutions to support healthcare analytics initiatives at Memorial Hermann. Collaborating with stakeholders to improve patient outcomes and performance metrics.

Posted 7/24/2026full-timeAlabama, Arizona, California, Connecticut, Illinois, Iowa, Maryland, Massachusetts, Mississippi, Montana, New Jersey, New York, Ohio, Oregon, Pennsylvania, Utah, Washington • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Business Intelligence analytics, including proficiency in SQL, Tableau, and data visualization tools, while effectively translating complex data into actionable insights for healthcare performance improvement. Strong leadership in analytics project management and stakeholder collaboration to drive data-informed decision-making.

Highest-signal resume keywords

SQL ProficiencyTableau Dashboard DevelopmentData Integration and ETLAnalytics Project LeadershipHealthcare Data Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLTableauData IntegrationData VisualizationETLRPythonStatistical AnalysisData PreparationData Science

Soft Skills

Problem-SolvingCritical ThinkingTime ManagementCommunicationStakeholder Partnership

Tools & Technologies

Tableau PrepHadoopAlteryxMicrosoft PowerBIEpic EMRMS Office Suite

Certifications & Qualifications

Tableau CertificationAssociate Certified Analytics Professional (aCAP)

Industry Keywords

Business IntelligenceHealthcare OperationsPopulation HealthValue-Based CareAnalytics Deliverables

Tech Stack

Tools & technologies

ETLHadoopOraclePythonSQLTableauVBA

About the role

Key responsibilities & impact

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.
The Lead Technical BI Analyst will 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 to facilitate discovery of insights, new opportunities, support data-informed decision-making for identified challenges as well as develop new and enhance existing metrics to analyze ongoing performance metrics.
This position may be tasked to become competent in specific business areas or functional units to support transformation of data and information into actionable insights that answer complex business questions.
The Lead Technical BI Analyst will lead initiatives to work with customers and Analytics Team members to understand and define the problems being solved, procure and integrate the disparate data sources necessary to analyze the needs appropriately, deliver relevant analytics tools to meet customer’s objectives and implement and support the solutions for ongoing utilization. This role will also troubleshoot complex technical problems and serve in a lead technical advisory role to other BI, Specialized and Technical BI Analysts as well as others across the System’s Analytics Community.
The Lead Technical BI Analyst may also be responsible for projects to analyze and integrate disparate data sources to ETL into an EDW either through a direct integration or through a normalization process. 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.
This role partners with business, clinical, and payer stakeholders to analyze claims and healthcare performance data, build Tableau dashboards and reporting solutions, and provide actionable insights that improve patient outcomes and operational performance.

Requirements

What you’ll need

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.
Expert proficiency with one or more of the following tools required, credentials/certification strongly preferred, as specified for position’s needs: 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
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.
Proven ability to translate business needs into actionable analytics, reporting, and insights.
Strong problem-solving, critical thinking, and time management skills with the ability to adapt to changing priorities.
Experience troubleshooting data quality, reporting, and dashboard issues.
Excellent communication and stakeholder partnership skills, with the ability to present findings to diverse audiences.
Knowledge of Epic EMR and healthcare operations preferred.
Experience leading analytics projects, mentoring team members, and learning new technologies.

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development