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

• High-impact BI delivery
• Build and maintain trusted Looker dashboards and explores used by leaders of teams across the organization
• Translate business questions into clear, durable reporting solutions with well-defined metrics and documentation
• Support cross-functional initiatives where analytics needs are defined and time-sensitive
• Own recurring reporting deliverables (reports, operational dashboards, repeatable analyses)
• Maintain, improve, and de-bug existing dashboards for performance, usability, and metric consistency
• Collaborate with data stakeholders to clearly define, measure, and track key metrics for success
• Contribute to data literacy and self-service enablement (clear definitions, documentation, stakeholder education)
• Identify opportunities to standardize and templatize common reporting patterns to reduce ad hoc work over time

Business Intelligence Analyst

• Develop clear, detailed, and complete user stories and business requirements for a variety of business and technical stakeholders
• Partner with SQL-literate stakeholders to interpret, validate, and refine data and reporting requirements to ensure accuracy and usability
• Research and analyze data across multiple business systems; map requirements to available data sources and collaborate with BI developers to ingest data into Databricks and enterprise analytics platforms
• Work cross-functionally with stakeholders, data services, and BI development teams to understand business impacts and support solution delivery
• Analyze data to identify key business questions, trends, dependencies, and actionable insights
• Evaluate and manage cross-functional and cross-system dependencies related to reporting and analytics initiatives
• Create and maintain functional specifications, grooming documentation, and detailed technical requirements to support development and implementation efforts
• Collaborate with functional architects and development teams to deliver high-quality BI and data solutions
• Advise business users on alternative approaches or recommended solutions to address operational and reporting needs
• Perform system configuration and administrative support activities within SAP BusinessObjects and Tableau environments
• Troubleshoot and identify root causes of data quality issues and system defects across development and production environments
• Leverage business and technical expertise to identify opportunities for process improvements and operational efficiencies
• Serve as a trusted advisor to business users regarding reporting capabilities, analytics solutions, and data best practices
• Maintain a high level of familiarity with upstream IT systems and business applications that provide data to the BI platform
• Coordinate and execute system testing activities, including User Acceptance Testing (UAT), ensuring issues are tracked through resolution and business sign-off is achieved

• 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

• Develop, maintain, and enhance business intelligence reports, and data visualizations to support decision-making.
• Collect, analyze, and interpret data from multiple business systems and data sources.
• Collaborate with stakeholders across Sales, Operations, Finance, and other functions to understand reporting and analytics requirements.
• Design and maintain data models, KPIs, and performance metrics to monitor business performance.
• Identify trends, patterns, risks, and opportunities through data analysis and provide actionable insights.
• Ensure data accuracy, integrity, and consistency across reporting platforms and databases.
• Support the automation and optimization of reporting processes to improve efficiency and scalability.
• Provide ad-hoc analysis and recommendations to support strategic and operational initiatives.
• Support data governance initiatives and promote best practices in data management and analytics.

• Extracts, analyzes, and interprets data from business applications and data repositories to create comprehensive reports and dashboards
• Collaborates with stakeholders to understand business requirements and translate them into actionable insights using Power BI or other BI tools
• Identifies trends, patterns, and anomalies in data and provides actionable insights to key stakeholders to support strategic decision-making
• Collaborates cross-functionally to understand data requirements and translate them into automated and intelligent solutions using artificial intelligence tools
• Identifies opportunities for process improvement and automation within data analysis and reporting

• Dashboard and reporting development – build and maintain BI dashboards and KPI reporting for teams.
• Internal tool building and workflow automation – build internal tools, scripts, and automations that replace manual status reporting.
• API and business systems integration – connect Jira, Confluence, Google Sheets/Drive, and other business tools to move data and trigger workflows.

Operations BI Engineer – 6 months contract

• Develop, maintain, and deploy dashboards, reports, and self-service BI solutions.
• Partner with business users to translate requirements into KPIs, metrics, and data models.
• Design and implement semantic data models to support scalability and extensibility.
• Perform data profiling, validation, and exploratory analysis.
• Support ad-hoc analysis and data-driven decision-making.
• Monitor report usage and performance, optimizing for query speed and usability.
• Ensure data governance, security, and compliance practices are embedded.
• Contribute to documentation, training, and user enablement.

BI Developer, Data Analyst

• Implement enterprise storage architecture for Power BI data, reports and dashboards.
• Design and implement security structure for Power BI data, reports and dashboards.
• Work independently with end users to design and build Power BI dashboards and reports.
• Create change deployment strategy for Power BI reports that incorporates source control.
• Train existing report developers to build reports and dashboards.
• Suggest best practices for storage and security of reports and dashboards.
• Suggest best practices for design of reports and dashboards.

BI Developer

• 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

• Build and maintain data pipeline, complex dashboards and create data-driven insights on MVH Commercial strategic initiatives while understanding our fundamental business drivers.
• Design, manage and maintain global spend cube by bringing in all procurement data from all BUs so teams can use them to look for opportunities and make strategic decisions.
• Support and maintain Procurement system (OrderRight), strategic sourcing management system and inventory solution by ensuring data is current, systems are working appropriately and assisting end users with questions and/or troubleshooting issues.
• Extract data from different source systems, draw key insights, and produce clear and concise reporting and analytics.
• Lead cross-functional and cross BU teams in managing team-based projects by scoping work, clarifying dependencies on others, and completing projects in a timely manner, documenting processes along the way.
• Create and maintain metrics dashboards (e.g. P2P, price exception, contract pricing etc.) for all MVH BUs so Procurement and Finance team can help drive purchasing and invoicing efficiencies.

• 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

• Define, develop, and maintain key performance indicators and reporting frameworks that inform content, marketing, and broader business strategy for Paramount+
• Write efficient SQL (BigQuery) queries to extract, transform, and analyze data in response to business questions from stakeholders at all levels.
• Conduct advanced analysis of content performance, subscriber lifecycle dynamics, and audience behavior to identify opportunities that drive interaction, retention, and growth.
• Use statistical analysis to develop and enhance models centered around content. This includes valuation, attribution, optimization.
• Build and maintain intuitive dashboards using tools such as Tableau, Looker/Data Studio, and Adobe Analytics, enabling self-service insights for non-technical users.
• Stay current on industry and competitive trends, evaluating potential implications for content strategy and the subscriber experience.
• Partner with measurement operations and data engineering teams to ensure proper tracking, data quality, and data structures that enable both robust analysis and scalable reporting.
• Improve data pipelines and develop analytical data sets that support modeling, real-time reporting, and deeper content and subscription insights.
• Present analytical findings and strategic recommendations in a clear, concise, and compelling manner to both technical and non-technical audiences.

Business Intelligence Engineer

• An advanced analytical professional who exercises independent judgment to solve complex business questions
• Builds predictive models, delivers actionable insights, and leads project teams to drive specific operational or financial decisions
• Bridges the gap between raw data and actionable strategy
• Focuses on business value—leading business and technical requirements gathering, building rapid proofs-of-concept (POCs), and presenting data-driven recommendations to operational leaders
• Working with minimal oversight applying advanced analytical skills to novel business problems where no clear procedure exists
• Informally mentors junior team members

Business Intelligence Analyst III

• 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

• 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

• Architect across business and engineering: Lead the design and implementation of data systems that serve both our operational business stakeholders (RevOps, Decision Science) and our product and engineering teams.
• Extend our internal AI platform: Contribute to and help shape the future with work that compounds across every analysis we run at Zip.
• Set the engineering bar for data: Bring software engineering rigor to data work: testing, CI/CD, code review, version control, observability and evangelize these practices across the team.
• Build and own data models: Translate complex, cross-domain business questions into robust, well-tested, reusable data sets and models.
• Partner with product engineering: Collaborate directly with engineering teams to embed analytical and data-modeling capabilities into product systems and pipelines.
• Mentor and uplevel: Coach teammates, raise the technical bar, and help establish standards that scale beyond any single project.

Business Intelligence Developer jobs in California

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Senior Consultant – Business Intelligence

Lead Technical BI Analyst

Business Intelligence Analyst

Business Intelligence Analyst

Staff Business Intelligence Engineer

Business Intelligence Analyst

Business Intelligence Analyst

Operations BI Engineer – 6 months contract

BI Developer, Data Analyst

BI Developer

Senior BI & Analytics Analyst

Business Intelligence Analyst

Senior Business Intelligence Analyst

Lead Technical BI Analyst

Business Intelligence Engineer

Business Intelligence Analyst III

Senior Business Intelligence Engineer

Senior Business Intelligence Analyst

Senior Analytics Business Intelligence Engineer

Senior Business Intelligence Engineer