Business Intelligence Developer

• 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.

Lead Technical BI Analyst

• The Business Intelligence & Analytics team is responsible for providing business analytics data products and solutions for internal business unit stakeholders.
• Conduct careful analyses focused on core business problems, operational analysis, measurement, and instrumentation in an intellectually engaging environment.
• Design trusted data models, scalable metrics, and self-service reporting experiences that enable teams across the business to make better decisions.
• Define, design, build, and audit key performance indicators (KPIs), performance metrics, and/or other reporting needs as requested by internal stakeholders.
• Design and maintain scalable Power BI semantic models (star schema–based) with certified datasets and reusable measures that enable governed self-service reporting.
• Monitor data quality, establish validation processes, and proactively address anomalies or discrepancies.
• Independently manage end-to-end business intelligence projects, from requirements gathering and data analysis to solution design, implementation, and delivery, with minimal supervision or guidance.
• Participate in cross-functional project teams, providing actionable insights and support to produce high quality deliverables that stand the test of time.
• Follow best practices for collecting, analyzing, and generating insights to improve business functions.

• Design and write complex SQL queries to aggregate auction data AWS.
• Structure large-scale event data into a centralized data warehouse.
• Build and maintain data models that define core business metrics.
• Ensure Finance, Technology, and Business teams are working from consistent and reliable data.
• Lead the transition from legacy reporting tools to Looker.
• Develop LookML models and dashboards tracking signal volume, API performance, and customer activity trends.
• Partner with Finance to measure unit economics, margin by signal type, and revenue attribution.
• Partner with Technology teams to monitor signal delivery and data health using AWS logs and Datadog.
• Partner with Business Units to build profitability views showing which signal channels drive the most value.
• Maintain data integrity across Last Activity API and Activity Signal products.
• Identify and resolve data discrepancies and latency issues before they impact reporting or billing accuracy.
• Define and document analytics standards and best practices for the broader team.

Senior BI & Analytics Analyst

• Collect, organize, and review data from multiple sources
• Develop and maintain recurring reports and dashboards
• Conduct foundational analyses on KPIs such as user engagement, retention, throughput, and campaign performance
• Partner with internal stakeholders to understand data needs and translate them into report requirements
• Assist in building clear and interpretable “proof of concepts” from complex data sources
• Support data quality efforts by validating report accuracy and identifying inconsistencies
• Document reporting processes, definitions, and logic
• Recommend improvements to existing reports or dashboards
• Collaborate with cross-functional teams to support data collection, standardization, and reporting

Business Intelligence Analyst

• Own and maintain executive, operational, and channel-level marketing dashboards and reporting solutions across the organization.
• Manage marketing KPI frameworks, scorecards, targets, and performance tracking to ensure consistent business visibility and alignment.
• Deliver actionable insights and analysis that support marketing strategy, campaign performance, and business decision making.
• Serve as a central analytics partner for ad hoc business insight requests across marketing teams and leadership stakeholders.
• Partner with Business Intelligence and Marketing Ops teams to improve data quality, reporting governance, and scalable self-service analytics capabilities.
• Support adoption and enablement of AI-driven analytics and self-service reporting tools across the marketing organization, including platforms such as Databricks Genie or similar technologies.
• Help support scalable approaches to self-service analytics, insight generation, and data accessibility across marketing teams.
• Monitor performance trends, risks, and opportunities across marketing channels and communicate insights to technical and non-technical stakeholders.
• Support strategic planning, quarterly business reviews, and executive discussions through reporting and business insights.

Senior Analyst II, Marketing Business Intelligence

• Provide analytical tools that drive insights
• Lead projects with customers and Analytics Team members
• Deliver relevant analytics tools to meet customer objectives
• Troubleshoot complex technical problems
• Develop and deliver data-driven solutions supporting Population Health and Value-Based Care

• Analyze CMDB and configuration data to ensure accuracy, completeness, and alignment with approved changes.
• Identify configuration drift, missing attributes, and dependency inconsistencies and recommend corrective actions.
• Develop dashboards and reports supporting Configuration and Change Management, including impact analysis and change performance.
• Analyze incident, work order, and SLA performance data to identify trends, bottlenecks, and improvement opportunities.
• Provide predictive analytics and operational insights supporting service quality, risk mitigation, and modernization planning.
• Support cybersecurity analytics, including vulnerability trends, system hardening status, and compliance reporting.
• Prepare analytics supporting RMF and C2C activities, including CAP package evidence and privileged access tracking.
• Develop reporting packages for Program Reviews, leadership briefings, and stakeholder engagements.
• Maintain organized repositories for analytics products, data sources, and audit evidence.
• Support internal and external audits by preparing traceability records, configuration snapshots, and compliance documentation.
• Coordinate with technical SMEs, functional leads, and Government stakeholders to ensure data accuracy and reporting alignment.
• Clearly and effectively communicate with SMEs, teams, and functional line leads.
• Ensure all analytics and documentation are timely and meet accuracy, completeness, and auditability standards.

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