Business Intelligence Developer

• The Business Intelligence Analyst plays a critical role in bridging the gap between business needs and technical solutions.
• Elicit, analyze, document, and validate business requirements through interviews, workshops, and existing documentation.
• Extract, transform, and load (ETL) data from various sources, including Salesforce.
• Customize and configure Salesforce to meet specific business needs.
• Serve as a liaison between business users and technical teams.
• Lead process improvement or regular (annual) business processes.

Business Intelligence Analyst

• Generating actionable, in-depth analysis of large sets of investigative data for Corporate Investigations leadership
• Monitoring developments, assessing organizational performance opportunities and/or compliance risks, and reporting findings in a clear, proactive manner
• Delivering analytic insights via written reports and briefings to Corporate Investigations leadership in a clear, concise, and business-relevant way
• Designing, implementing, and updating ServiceNow performance analytics and case management dashboards
• Designing, implementing, and updating Excel reports using VBA, complex formulas, and power pivots
• Coordinating with a wide range of internal and external stakeholders, including Global Compliance Data & Analytics, Law Department, Employee Corrective Action, and Information Technology
• Supporting Corporate Investigations operations with ad hoc case research, information requests, and legal holds; supporting day-to-day operations-related activities

Senior Business Intelligence Analyst

• Lead the design and development of advanced Power BI reports and dashboards
• Serve as a Power BI subject‑matter expert, advising on best practices
• Develop complex DAX measures and calculations
• Optimize report performance and dataset size
• Advise on data structures and dimensional models with BI Engineers
• Review and validate analytical outputs for accuracy and clarity

• Gather and analyze data from various sources within the supply chain, including inventory levels, transportation costs, supplier performance, and demand forecasts.
• Practice data stewardship and monitor data integrity while performing analytics processes.
• Utilize statistical techniques and advanced analytics to identify patterns, trends, and insights that can inform decision-making and drive process improvements.
• Develop dashboards, reports, and visualizations to communicate findings effectively to stakeholders at all levels of the organization.
• Monitor key performance indicators (KPIs) related to supply chain performance, such as on-time delivery, lead times, and inventory turnover.
• Identify opportunities for cost reduction, process optimization, and service level improvement within the supply chain network.
• Develop and implement strategies to enhance operational efficiency, reduce waste, and improve overall supply chain agility.
• Contribute to cross-functional projects aimed at optimizing supply chain processes.
• Champion a culture of continuous improvement and innovation within the supply chain organization.
• Collaborate with cross-functional teams, including planning, operations, procurement, finance, and IT, to gather requirements and develop data-driven solutions that address business needs.
• Facilitate knowledge sharing and best practice dissemination across functional areas to drive continuous improvement and innovation.

Supply Chain Analytics – BI Specialist

• The Senior BI Analyst serves as a partner to the business or clinical area supported and will use analytic expertise including knowledge of data structures, programming, and statistics along with critical thinking and an understanding of their assigned subject area/business to help the organization make data-driven decisions.
• Collecting, cleaning, and interpreting data sets in order to answer a question or solve a problem including identifying and effectively communicating improvement opportunities and supporting the evaluation of existing processes and strategic improvement efforts.
• Independently consults with stakeholders to gather project requirements and define scope on projects of all sizes.
• Collaborates with internal partners and organizations in the design and development of reporting solutions and analytic studies to support business needs.
• Develops, validates, and executes complex queries.
• Interprets results and makes recommendations to business areas based on findings.

• Design, develop, and maintain interactive dashboards and reports using Power BI
• Build and optimize data models, DAX calculations, and Power Query transformations
• Collaborate with business stakeholders to gather reporting requirements and translate them into technical solutions
• Develop automated reporting solutions and KPI tracking tools
• Ensure data accuracy, consistency, and performance across reporting environments
• Integrate data from SQL databases, APIs, cloud platforms, and other business systems
• Support data migration activities by working with business and technical teams to prepare, map, and validate data for reporting use
• Test and validate reports and dashboards using migrated data to confirm accuracy, completeness, and alignment with business expectations
• Troubleshoot and resolve reporting and visualization issues
• Document reporting processes, data definitions, and technical specifications
• Assist in developing and maintaining front-end web applications and internal tools
• Create responsive and user-friendly interfaces using modern web technologies
• Support UI/UX improvements for dashboards and business applications
• Collaborate with developers and designers to enhance user experiences
• Participate in testing, debugging, and deployment activities

Reporting – Power BI Developer

• Stakeholder Collaboration: Partner with operational leaders across service lines to translate business questions into reporting and analytics solutions.
• Reporting & Analysis: Build and maintain Power BI reports and dashboards, deliver ad hoc analytical extracts under tight timelines, and analyze operational data to identify root causes, reconcile discrepancies, and surface actionable insights.
• Automation: Replace manual reporting processes with scalable, automated workflows using SQL, Python, or R — scheduled distributions, snapshot pipelines, metric calculations.
• Strategic Communication: Synthesize findings into clear, evidence-backed recommendations for leadership.
• Technical Proficiency: Daily use of SQL (Snowflake), Python or R, and Power BI (DAX) for extraction, transformation, analysis, and visualization across multiple data platforms.
• Team & Growth: Self-driven ownership mindset. Actively support teammates, share knowledge, and pursue continuous professional development.

Senior BI Analyst

• Develop, maintain, and optimize enterprise reporting dashboards supporting project performance, financial management, and business development initiatives
• Create standardized reporting packages and deliver ongoing monthly, quarterly, and annual performance reports
• Design and maintain semantic models, relationships, measures, and calculated columns using DAX
• Optimize Power BI models for performance, scalability, and reusability
• Collaborate with technical staff on deployment pipelines, data refresh strategies, and lifecycle management
• Extract, clean, validate, and analyze data from our ERP and related business systems to assess pipeline activity, win rates, sales cycle trends, and client behavior
• Perform financial and operational performance analysis, including KPI tracking, revenue and margin variance analysis, backlog and WIP reporting, forecasting support, and project health assessments
• Ensure data integrity by identifying inconsistencies, correcting gaps, and recommending process improvements across our ERP and reporting systems
• Translate complex data findings into clear, concise insights for both technical and non‑technical audiences
• Partner closely with business development, operations, finance, and support teams to understand reporting needs and deliver timely analysis
• Support strategic planning through ad‑hoc analyses, scenario modeling, and client insights that inform leadership decisions

• 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
• Work with customers from clinical, administrative and/or operational areas across the System
• Provide analytical tools that drive insights, complex data extracts and integration, reports and advanced dashboard visualizations
• Develop and enhance existing metrics to analyze ongoing performance metrics
• Lead initiatives to work with customers and Analytics Team members to understand the problems being solved
• Procure and integrate the disparate data sources necessary to analyze needs appropriately
• Troubleshoot complex technical problems and serve in a lead technical advisory role to other BI Analysts
• Lead projects to analyze and integrate disparate data sources to ETL into an EDW

Lead Technical Business Intelligence Analyst

• The Senior BI Analyst serves as a partner to the business or clinical area supported (AI Evaluation & Monitoring)
• Use analytic expertise including knowledge of data structures, programming, and statistics with critical thinking
• Collect, clean, and interpret data sets to answer a question or solve a problem
• Identify and effectively communicate improvement opportunities and support evaluation of existing AI/ML projects
• Act as the analytics expert in meetings and discussions with stakeholders
• Consult with AI stakeholders to gather evaluation and data requirements and define scope on projects of all sizes
• Execute the evaluation work that keeps Geisinger's AI portfolio safe, performant, and accountable
• Collaborate with internal partners and organizations in design and development of reporting solutions and analytic studies
• Develop, validate, and execute complex queries and reports that answer business questions for internal customers
• Present analysis and reports to internal customers and stakeholders
• Report and help troubleshoot data quality issues during data profiling, testing, or validation
• Participate in strategic departmental initiatives and mentor junior BI developers

Senior Business Intelligence Analyst – AI Evaluation, Monitoring

• Lead complex, cross-functional analytics initiatives
• Solve ambiguous analytical problems independently
• Partner with stakeholders to align analytics to business strategy
• Mentor Junior and Associate Analysts

• Works independently to develop high quality BI contents that meets business needs
• Promotes consistent use of BI contents and calculations; recommend standards and BI best practices for the organization
• Assists in gather information and support on data governance processes
• Analyzes the use of data and interpreting data directly against requirements.
• Captures source data characteristics and abstracting them into consolidated data repository with proper data lineage and change control – including data from internal and external sources, also on premises or from the Cloud.
• Determines the logical design characteristics and information management strategies necessary to store, move, and manage data from a wide variety of database platforms.
• Responsible for creating, vetting and publishing data sources for common use in our BI tools (currently Tableau, Crystal and Epic reporting products).
• Gathers, documents and designs data integration and data visualization requirements for projects for small organizations through large corporations.
• Assists BI content creators to rapidly generate impactful, interactive visualizations with consistent and proper data elements
• Troubleshoots complex issues and addresses resolutions.

Senior Epic BI Developer

• Analyzes the use of data and interpreting data directly against requirements.
• Captures source data characteristics and abstracting them into consolidated data repository with proper data lineage and change control – including data from internal and external sources, also on premises or from the Cloud.
• Determines the logical design characteristics and information management strategies necessary to store, move, and manage data from a wide variety of database platforms.
• Creates, vets and publishes data sources for common use in our BI tools (currently Tableau, Crystal and EPIC reporting products).
• Gathers, documents, and designs data integration and data visualization requirements for projects for small organizations through large corporations.
• Assists BI content creators to rapidly generate impactful, interactive visualizations with consistent and proper data elements.
• Performs other duties as assigned.

BI Developer

• Independently consults with stakeholders to gather project requirements and define scope on small to medium sized projects
• Collaborates with internal partners and organizations in the design and development of reporting solutions and routine analytic studies to support business needs
• Plans projects and request completion tasks
• Provides time and effort estimates based on requirements gathering
• Demonstrates working knowledge of relevant source systems needed to support primary stakeholders and proficiency with related databases/data marts within first year in role
• Develops, validates, and executes low to moderately complex queries
• Designs and builds reports/dashboards
• Performs routine data analysis that answers business questions for internal customers
• Interprets results and makes recommendations to business areas based on findings
• Presents analysis and reports to internal customers and stakeholders
• Designs intuitive self-service reports/dashboards, makes modifications to more complex dashboards developed by more senior analysts, and offers visualization recommendations to stakeholders based on business goals, requirements, and the intended audience.

Business Intelligence Developer – Intermediate

• Work independently on highly complex, cross-functional, analytical projects, proactively addressing business needs.
• Provide analytical subject matter expertise and recommendations to the Underwriting & Operations organization.
• Participate in workstream planning processes, including inception, technical design, development, testing, and delivery of BI analytics solutions.
• Analyze functional business processes and requirements, contributing to the development of arguments supporting process changes and IT projects.
• Provide design support for the development of business intelligence solutions for Underwriting and Operations, collaborating closely with business leaders and technical partners.
• Engage in project management estimation processes and develop cases for lean business.
• Explore data to discover patterns, meaningful relationships, anomalies, and trends.
• Perform analysis for a wide range of requests using data in various formats and from multiple platforms.
• Develop standard methodologies for report deployments, ensuring detailed metrics are documented and tracked.
• Align BI technologies with central initiatives, keeping up to date with BI products/tools and business strategies and direction.
• Identify and provide input on new technology opportunities that will impact Enterprise-wide BI systems.

Business Intelligence Analyst, III

• Leads the technical efforts to create Enterprise-class data assets that provide business insight
• Produces reports and performs meaningful quantitative or qualitative analyses addressing impactful business issues
• Combines reports with subject-matter expertise to deliver coherent and insightful takeaways
• Leads development efforts of BI solution architecture that translates business requirements to technology solutions
• Oversees execution of business analysis activities to fulfill strategic business needs
• Delivers complex project setups, analysis, data flows, designs for customers
• Collaborates with end users to identify needs for improved data process efficiency

Lead Business Intelligence Engineer

• Do the portfolio level analysis that tells the discovery team where to focus next, identifying where the biggest clinical and operational gaps exist and which AI opportunity areas have the strongest evidence for investment
• Work directly with clinical, operational, health plan, and pharmacy leaders across Geisinger to understand strategic priorities, surface data driven insights, and help shape where discovery energy gets directed
• Size opportunities that have never been sized before, building quantitative business cases from messy, incomplete data and turning them into the evidence that determines whether an idea moves forward
• Benchmark Geisinger performance against peer health systems and external data sources to identify where the organization has the most to gain and where the market is moving
• Design measurement frameworks for early stage pilots from scratch, ensuring that every initiative the team pursues is set up to generate real learning rather than just activity
• Produce clear, compelling analytical narratives and visualizations that translate complex findings into strategic recommendations leadership can act on
• Collaborate with analysts across the AI portfolio to share methods, data assets, and reusable components that raise the quality of analytical work across the function

Senior Business Intelligence Analyst, Discovery

• Partner with product managers during problem sizing to quantify opportunity areas, establish baselines, and define what success looks like before any solution is built
• Conduct exploratory data analysis during model development, profiling data quality, understanding distributions, identifying anomalies, and helping data scientists understand what the data is actually telling them
• Build and maintain the feature datasets and data definitions that model development depends on, ensuring the analytical foundation is sound before anyone builds on it
• Design and own the measurement frameworks that track AI performance in production, going beyond adoption to capture clinical and operational impact
• Dig into Epic, Clarity, Caboodle, and other enterprise data sources to answer hard questions about how AI initiatives are performing and where they need to improve
• Identify and resolve data quality issues at the source, working with clinical and operational teams to address problems that would otherwise degrade model performance silently
• Turn complex analytical findings into clear narratives and visualizations that help product and strategy leaders make faster, better decisions
• Establish and maintain data standards and documentation that make analytical work reusable and trustworthy across the portfolio

Senior Business Intelligence Analyst, AI

• Responsible for creating and managing a centralized and standardized Enterprise reporting environment
• Collaborate with business users to understand requirements and provide optimized visualizations and reports
• Build and optimize enterprise-grade Power BI models, datasets, and dashboards
• Develop advanced DAX and high-performance data models for large-scale analytics
• Oversee Power BI governance, RLS, deployment pipelines, workspace design
• Enable self-service BI through training and documentation
• Partner with data engineering to ensure clean, accurate, high-quality analytical data
• Drive continuous improvement in BI processes, performance, and reliability

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