Business Intelligence Developer

• Manage multiple projects simultaneously, ensuring timely and effective delivery from initiation to completion
• Extract, analyze, and interpret data—including clinical data—to identify and recommend business opportunities to stakeholders
• Lead project teams in developing visualizations, tools, or other assets based on data-driven insights
• Accountable for project planning, monitoring progress, setting deadlines, and resolving issues
• Collaborate across CAPI and with external partners to ensure project alignment and successful outcomes
• Operate with a high level of independence and make informed decisions in complex situations
• May assume direct supervisory responsibilities as needed

Senior Business Intelligence Engineer

• 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

• The Senior Data Engineer is a technical-facing role within an Information Services, Analytics, or Engineering organization that leverages business relationships to design, develop, and deploy analytics solutions.
• Work with Business Stakeholders, Data Engineers, Data Managers, Data Scientists, and Cloud Engineers to understand business needs and requirements.
• Assess the impacts of business needs and translate them to data-driven and data-centric enterprise solutions.
• Develop and build the published data layer objects and/or visualizations for consumption by the end user community.

Senior Analytics Business Intelligence Engineer

• Design, develop, and maintain robust ETL/ELT pipelines using Databricks
• Ingest data from multiple sources
• Implement data transformation, cleansing, validation, and enrichment logic
• Optimize Spark jobs for performance, scalability, and cost efficiency
• Design and develop Power BI semantic models, dashboards, and reports
• Partner with stakeholders to translate business requirements into technical solutions

DBX/PowerBI Developer

• Solves complex business problems and issues using data from internal and external sources
• Provides insight to decision-makers
• Creates innovative solutions to complex business problems
• Manages Big Data and data quality
• Makes decisions regarding own work methods
• Follows established guidelines/procedures

Business Intelligence Engineer – Medicaid

• Design reusable BI information models, views, dashboards, metrics and reports that meet business needs across supply chain and related functions
• Translate business requirements into technical designs, user stories and acceptance criteria; validate delivered solutions with stakeholders
• Build, optimize and maintain SQL (Redshift/Oracle/Teradata/SQL Server) queries, Extract Transfer Load (ETL)/data wrangling pipelines and data transformations for reliable reporting
• Produce analytics deliverables (ad-hoc analysis, trend reports, root-cause investigations) to support decision-making
• Prototype and evaluate GenAI/LLM use cases to augment BI workflows (e.g., natural-language querying, automated data summarization, intelligent insights generation, prompt templates for analysts)
• Apply prompt engineering best practices: design, test, and optimize prompts and chains for consistent, accurate outputs; document prompt libraries and guardrails
• Integrate LLM/GenAI capabilities with BI tools or data platforms where appropriate (e.g., Application Programming Interfaces (APIs), wrappers, microservices) in collaboration with engineers and data scientists
• Ensure responsible use of GenAI: implement data privacy, Personally Identifiable Information (PII) handling, output validation, and model risk mitigation practices
• Collaborate with data scientists, Machine Learning (ML) engineers, and platform teams on productionizing Artificial Intelligence (AI)-enabled features and understanding model performance and limitations
• Develop and deliver stakeholder-facing demos, playbooks, and training materials that show how GenAI augments BI workflows
• Work with cloud data platforms (Google Cloud Platform (GCP) and Amazon Web Services (AWS)) to design, develop, and maintain data products — including data ingestion, storage, transformation, and serving layers
• Build and validate data products on cloud platforms (BigQuery, Cloud Storage, Dataflow, AWS S3, Redshift, Glue, etc.) and collaborate with platform/engineering teams on deploying them to production
• Participate in agile delivery: sprint planning, estimation, development, testing and release activities
• Identify opportunities to improve automation, reduce analyst toil, and scale analysis via templated assets and self-service

Mid-Level Business Intelligence Analyst

• 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

• Design, build, and iterate on high-quality Power BI reports and dashboards at scale
• Translate business requirements into intuitive, user-friendly visualizations
• Develop and leverage semantic models to support reporting needs
• Build reporting solutions against Snowflake data and optimize performance for high-usage scenarios
• Implement row-level security (RLS) and contribute to scalable, governed data access patterns
• Assist in establishing deployment pipelines and promotion processes across development, testing, and production environments
• Help define and implement best practices for report development, organization, and governance
• Build and support automation workflows to replicate legacy reporting processes (e.g., scheduled delivery, data blending)
• Partner closely with client teams through collaborative working sessions and knowledge sharing
• Contribute to documentation, reusable patterns, and migration playbooks to support long-term client self-sufficiency

See all jobs on JobTailor