Business Intelligence Developer

• Design, develop, and maintain interactive Tableau and PowerBI dashboards, scorecards, and reports.
• Collaborate with business stakeholders to gather reporting requirements and translate them into effective visualization solutions.
• Connect Tableau to various data sources including SQL databases, cloud platforms, data warehouses, and flat files.
• Develop and optimize Tableau and PowerBI data models, calculations, parameters, filters, and dashboard actions.
• Create and maintain automated reporting solutions that improve data accessibility and reduce manual effort.
• Perform data validation, troubleshooting, and quality assurance to ensure report accuracy and consistency.
• Write complex SQL queries, stored procedures, and database views to support reporting requirements.
• Monitor dashboard performance and implement optimization techniques to improve efficiency and scalability.
• Develop documentation, data dictionaries, and user guides for reporting solutions.
• Partner with Data Engineering, Analytics, and Business teams to support enterprise reporting initiatives.
• Ensure adherence to data governance, security, and compliance standards.
• Provide end-user support, training, and guidance on Tableau reporting capabilities and best practices.

Senior Consultant – Business Intelligence

• 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

• Analyze data reports and system outputs to identify performance trends and potential issues.
• Collaborate with internal stakeholders, clients, and third-party vendors to resolve interface and workflow challenges.
• Maintain and enhance existing EDI client configurations as needed.
• Provide quality assurance for internal and external reporting outputs.
• Manage the commissioning and decommissioning of data sets.
• Support the development of new reports and data analyses.
• Recommend and implement process improvements to optimize workflow efficiency.
• Monitor updates to source data systems and assess their impact on existing workflows and reports.
• Deliver training to end users on new reports and data processes.
• Develop and maintain Standard Operating Procedures (SOPs).
• Act as an escalation point for complex issues, working closely with departmental leadership.

Senior IT Specialist – Power BI

• Utilize advanced analytical techniques to analyze large datasets, extract meaningful insights, and provide actionable recommendations to enhance revenue operations efficiency.
• Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards.
• Create compelling visualizations to effectively communicate complex data insights, making information accessible and actionable for a diverse audience.
• Build and maintain data models to support GTM, helping the organization make informed strategic decisions.
• Drive the automation of our business intelligence ecosystem by treating dashboards and semantic layers as code using Git, automated testing frameworks, and CI/CD pipelines.
• Work closely with various teams, including Sales, Marketing, Finance, and Product, to understand business requirements and provide analytical support.
• Identify opportunities to enhance data quality, reporting processes, and analytics tools to drive continuous improvement in data analysis capabilities.

Staff Business Intelligence Engineer

• Play a key role in the company's enterprise analytics strategy by designing, developing, and supporting modern data and reporting solutions using Microsoft Fabric and Power BI.
• Help transform data from a variety of business systems into trusted, actionable insights through governed semantic models, dashboards, reports, and analytics solutions.
• Work closely with business stakeholders and technical teams to deliver scalable, secure, and maintainable analytics solutions that support data-driven decision making across the organization.
• Contributes to the development of enterprise reporting capabilities, data integration processes, analytics platforms, and self-service reporting solutions.
• Design, develop, and maintain data solutions within Microsoft Fabric, including Lakehouses, Warehouses, Data Pipelines, Notebooks, and Semantic Models.
• Create and maintain enterprise reporting solutions, dashboards, KPIs, and self-service analytics capabilities using Power BI.
• Design, publish, and maintain scalable semantic models to support enterprise reporting and analytics.
• Develop and optimize SQL-based data transformations, data structures, and reporting datasets.
• Build and support data integration processes between enterprise applications and analytics platforms.
• Collaborate with business stakeholders to gather requirements and translate them into scalable reporting and analytics solutions.
• Ensure reporting solutions align with company data governance, security, and compliance standards.
• Monitor and troubleshoot data refreshes, data pipelines, semantic models, and reporting solutions.
• Manage Power BI workspaces, applications, security access, deployments, and usage monitoring.
• Participate in enterprise data architecture initiatives and contribute to analytics platform strategy.
• Work with users and team members across multiple business functions to improve reporting capabilities and data accessibility.
• Maintain and version control all BI and data engineering assets including Power BI reports, semantic models, SQL scripts, notebooks, and data pipelines using established source control processes and tools.
• Create and maintain technical documentation, solution designs, and operational support procedures.
• Stay current on Microsoft Fabric, Power BI, Data Engineering, and Analytics best practices and recommend improvements where appropriate.

Business Intelligence Engineer

• Lead BI and AI-driven analytics initiatives across Pharma/Life Sciences projects.
• Design and implement dashboards, KPIs, and reporting solutions using tools such as Power BI, Tableau, Qlik Sense, or similar BI platforms.
• Drive client discussions, solution workshops, and executive presentations related to analytics, AI adoption, and reporting strategies.
• Recommend innovative BI and AI approaches to improve decision-making, automation, forecasting, and business insights.
• Act as a trusted advisor to clients for analytics transformation and AI-driven reporting initiatives.
• Analyze pharma commercial, patient, sales, marketing, and omnichannel datasets to generate actionable insights.
• Mentor junior team members and provide technical and functional guidance.
• Present analytical findings and recommendations to leadership and business teams.

Senior BI, AI, Pharma Specialist

• 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

• Design, develop, and maintain enterprise‑level data models to support analytics, reporting, and integration needs
• Build high‑quality dashboards, semantic models, and datasets using Microsoft Power BI
• Leverage Microsoft Fabric capabilities—including Lakehouse, Dataflows Gen2, Pipelines, Semantic Models, and Notebooks—to build scalable modern analytics solutions
• Develop DAX measures, Power Query transformations, and dataflows to create governed, reusable data assets
• Understand and interpret Oracle E‑Business Suite (R12) and Oracle Fusion Cloud ERP data structures, tables, and reporting layers
• Translate business processes from Finance, Supply Chain, and other functions into robust analytical data models
• Partner with cross‑functional stakeholders to define KPIs, metrics, and data logic
• Ensure high levels of data quality, integrity, and governance across Fabric and Power BI assets
• Optimize SQL queries, ETL logic, and BI models for performance and scalability
• Support ad‑hoc analytics and resolve data issues as they arise.

Senior Business Intelligence Analyst

• 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

• Dive deep into Zillow's internal and third party data to model data that accurately reflect our customer journey and business processes.
• Design a reusable, modular semantic layer that makes metrics and dimensions consumable across BI tools, data science workflows, and AI systems, while promoting consistency across those surfaces.
• Lead cross-organizational data initiatives that align with company strategy and roadmap planning
• Drive alignment on metric definitions and data governance standards across business lines
• Influence build-versus-buy decisions for analytics tooling, semantic layer platforms, and data governance systems
• Mentor senior analytics engineers as well as shape strategic direction and technical standards for analytics engineering across the organization
• Partner with executive stakeholders to influence how the data infrastructure must evolve to support company objectives
• Operate high availability data and reporting within SLA through quality alerting, detecting issues before customers and resolving with a sense of urgency.

Business Intelligence Developer jobs in New Jersey

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Staff Business Intelligence Engineer

Business Intelligence Engineer

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Principal Business Intelligence Engineer