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Lead Technical Business Analyst

Job in Houston, Harris County, Texas, 77246, USA
Listing for: Memorial Hermann Health System
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Lead Technical Business Analyst - Memorial Hermann Health System

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.

Minimum Qualifications
  • 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.
  • 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, Data Robot, 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…
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