Lead Technical Business Intelligence Analyst (Remote)

Requirements

• 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 strongly preferred.
• Licenses/Certifications : Technical certifications in relevant application(s) strongly preferred (i.e., Tableau). Associate Certified Analytics Professional (aCAP) or another vendor-neutral analytics certification preferred.
• Experience / Knowledge / Skills:
• 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, SP

Benefits

Additional Information

At Memorial Hermann, we pursue a common goal of delivering high quality, efficient care while creating exceptional experiences for every member of our community. When we say every member of our community, that includes our employees. We know that when our employees feel cared for, heard and valued, they are inspired to create moments that exceed expectations, while prioritizing safety, compassion, personalization and efficiency. If you want to advance your career and contribute to our vision of creating healthier communities, now and for generations to come, we want you to be a part of our team. Job Summary 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. Job Description MEMORIAL HERMANN CANNOT HIRE REMOTE WORKERS IN THE FOLLOWING STATES: Arizona, California, Connecticut, Maryland, Massachusetts, Missouri, New Jersey, New York, Utah, Ohio, Pennsylvania, Washington, Alabama, Mississippi, Illinois, Oregon, Arkansas or Iowa Preferred analytics experience in one or more of the following Value-Based Care (VBC) domains areas: Patient Panel & Provider Management - Experience ensuring accurate provider attribution, optimizing panel composition, and monitoring provider performance through data audits, referral analysis, and scorecard development. Population Health Outcomes (Quality) - Experience improving quality program performance by analytics care gaps, assessing measure compliance, and leveraging payer quality data to guide targeted outreach and outcomes. Population Health Coding (HCC) - Experience enhancing risk score accuracy by identifying documentation and coding gaps, tracking provider coding performance, and implementing risk adjustment strategies. Utilization Management (Medical Economics) - Experience analyzing medical and pharmacy cost and utilization trends, identifying high-cost drivers and savings opportunities, and evaluating the effectiveness of care management interventions. Practice Transformation (Operations) - Experience monitoring KPIs and workflows to identify process improvements, optimize practice operations, and drive value-based outcomes.

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