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

• The AI Business Intelligence Developer designs, builds, and supports modern business intelligence and AI-powered automation solutions.
• Develop dashboards, semantic data models, AI agents, and workflow automations.
• Design, develop, and deploy AI agents and automations that enhance operational efficiency.
• Ensure reporting and AI solutions comply with organizational security and governance standards.
• Collaborate with business leaders to identify reporting improvements.

AI Business Intelligence Developer

• Designs, develops, tests, documents, maintains, and troubleshoots reports in Epic across a broad platform of Business Intelligence tools.
• Supports the full lifecycle of projects, particularly the requirements definitions, quality assurance testing, and user acceptance testing phases of projects.
• Responsible for the execution of full reporting lifecycle; from design, development, testing, documentation, maintenance, and troubleshooting.
• Complete work towards closing tickets, including triage, research, and communication with internal and external members.
• Develop and update technical documentation for reporting systems.
• Lead and drive requirement gathering meetings with experts in a variety of fields; defining systems scope and objectives of business requirements, including documentation of requirements (i.e. use cases) and relevant translation into system requirement specifications.

Healthcare Business Intelligence Analyst, EPIC Certified

• Provide application system support for a client financial platform
• Responsible for developing and deploying all business intelligence system software application development across the development, test, pre-production/integration, and production environments

• Lead strategic business intelligence and data analytics initiatives across product teams, business units, and leadership stakeholders.
• Partner with business leaders to understand priorities and translate complex business challenges into scalable data and analytics solutions.
• Drive planning, prioritization, and execution of BI products, analytical datasets, dashboards, and data-driven initiatives.
• Leverage SQL, Snowflake, and enterprise data platforms to analyze data, identify insights, and support business decision-making.
• Collaborate with data engineering teams to develop, optimize, and maintain scalable data solutions, datasets, and reporting capabilities.
• Establish and promote governance, data quality, and best practices that improve the consistency, reliability, and scalability of analytics solutions.
• Develop strategic roadmaps that align business intelligence capabilities with organizational goals and future business needs.
• Communicate insights, recommendations, and technical concepts effectively to executive, business, and technical audiences.
• Mentor analysts and provide leadership in solution design, stakeholder engagement, and analytical best practices.
• Lead process improvement, modernization, and change management efforts that enhance business intelligence capabilities and drive operational efficiency.

Lead Business Intelligence Analyst

• Support analytic needs by utilizing data from ad servers, SSPs, and demand partners
• Guide AdTech and BI data strategies across mobile apps, web, and programmatic platforms
• Lead day-to-day troubleshooting efforts related to revenue discrepancies, fill issues, and auction health
• Create holistic dashboards from different data sources, presenting metrics such as revenue yield, eCPM, fill rates, floor pricing, win rates, and audience monetization to leadership
• Lead daily/weekly data standups with internal stakeholders and external demand partners to review revenue trends, surface test impacts, and document operational insights
• Conduct ongoing research on industry trends and media to support business intelligence activities
• Build pricing models for O&O (owned and operated) and third-party inventory
• Design and implement SSP experiments to maximize yield, revenue, and inventory health, including floor price testing and demand partner optimizations
• Own the process of driving yield and operational insights from inventory and customer behavior data, partnering with Product and AdOps teams on A/B and multivariate tests to optimize monetization strategies
• Present AdTech yield analysis, strategic insights, and monetization recommendations to senior executives through dynamic dashboards, detailed reports, and executive summaries
• Conduct competitive analysis on advertising market trends, supply-side monetization strategies, and partner performance to optimize TAds inventory value
• Develop and refine yield management workflows; document analysis outcomes, troubleshooting protocols, and operational best practices to support scalable revenue growth across O&O and third-party platforms

Business Intelligence Analyst

• 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

• Design and develop dashboards, self-service tools, reports, data models, and scalable ad-hoc reporting
• Drive business solutions through data analytics; querying, mining, visualizing, and presenting data
• Performs statistical analysis to identify trends and underlying patterns for business insights and decision making
• Innovate KPIs, metrics, and tracking methodologies for measuring performance with the ability to communicate data insights and provide recommendations to key stakeholders
• Collaborate with business leaders to understand business challenges that will benefit from analytics support
• Proactively analyze data through self-initiated curiosity with an eye for operational improvement

Senior Fraud BI Analyst

• Gather, analyze, and interpret large sets of financial and operational data from various sources, including ERP, CRM, and other business systems.
• Develop, maintain, and enhance dashboards, reports, and visualizations using BI tools (such as Power BI, Tableau, or Qlik).
• Perform ad hoc analyses to support business initiatives, including profitability, productivity, client trends, and compliance.
• Collaborate with business units and leadership to understand data requirements and deliver accurate, timely insights.
• Identify trends, patterns, and actionable opportunities for improvement in accounting, audit, tax, and advisory services.
• Support data quality initiatives and ensure data integrity across reporting solutions.
• Document processes, methodologies, and data definitions to support transparency and repeatability.
• Stay current with industry best practices and emerging BI technologies relevant to accounting and professional services.
• Present findings and recommendations to stakeholders in clear, compelling formats.
• Assist in the automation of reporting and analytics processes.

Business Intelligence Analyst, Data Insights

• Serve as a primary point of contact for answering client reporting or business development questions using clear, accurate data analysis.
• Develop dashboards in Tableau to support client reporting, expanding patient populations and emerging clinical programs.
• Apply business intelligence best practices to ensure dashboards are user-friendly, performant, meet production standards and aligned with business goals
• Create analytical models in dbt to support Tableau dashboards and downstream reporting.
• Use SQL and other tools to collect, process, and analyze large datasets from claims, EHR, HIE, and programmatic sources.
• Complete analytics requests and ad-hoc reporting needs through Atlassian (e.g., JIRA), providing clear updates and prioritization.
• Collaborate with product, engineering, and internal data teams to develop new tools and capabilities that improve operational efficiency.

Senior Business Intelligence 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

• Gathering and understanding business requirements for data visualization and analysis
• Collaborating with data engineers and analysts to acquire, clean, and transform data for reporting purposes.
• Ensuring data security and compliance with best practices
• Providing training and support to end users on using Power BI
• Keeping up to date with the latest Power BI features and trends
• Design, develop, and deploy advanced Power BI reports and dashboards.
• Create and maintain efficient data models and datasets in Power BI.
• Develop custom visualizations and calculations using DAX and Power Query.
• Design and develop interactive visual reports, KPI scorecards, and dashboards using Power BI Desktop.
• Integrate Power BI with various data sources such as SQL Server, Azure, Excel, and other databases.
• Wrangle data from various sources, ensuring accuracy and readiness for analysis.
• Apply data modeling best practices to support robust and scalable BI solutions.

Power BI Developer

• Semantic Layer & Data Modeling: Build and maintain Azure SQL reporting views, aggregations, and semantic layer structures under the direction of the BI / Reporting Lead.
• Report & Dashboard Implementation: Translate documented business requirements and report specifications into production-ready report and dashboard outputs.
• Data Validation & Quality Assurance: Validate report outputs against ERP source data, reconciling figures line-by-line to confirm accuracy before stakeholder review.
• Offshore Coordination: Coordinate with and review work from offshore BI Engineers by providing guidance, feedback, and ensuring consistent implementation quality across deliverables.
• Stakeholder Support & UAT: Support report UAT sessions by working directly with business users to validate outputs, capture feedback, and resolve discrepancies.
• CI/CD & Pipeline Standards: Work within Azure DevOps CI/CD pipelines, ensuring all reporting code and schema changes pass review before deployment.

BI Reporting Engineer

• 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

• 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

• Design, build, and maintain gold-layer data models and a governed metrics layer in Snowflake using dbt — clean, tested, documented, and version-controlled.
• Establish metric definitions as the single source of truth: calculated once, reused everywhere, with clear ownership and change management.
• Push transformation and calculation logic upstream into the warehouse so the consumption layer stays simple, consistent, and high-trust — eliminating per-dashboard logic and manual rework.
• Partner with data engineering on the boundary between raw/silver pipelines (theirs) and the gold/metrics layer (yours).
• Build and maintain dashboards, reports, and analytics experiences in our enterprise BI platform that sit on top of governed metrics rather than reinventing logic.
• Translate business questions into both the underlying metric and the visualization that communicates it.
• Champion data quality, consistency, and trust across all delivered analytics, ensuring numbers hold up under scrutiny.

Senior BI Developer

• 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.

• Analyze customer acquisition performance across paid search, display, affiliate, and organic channels — spend efficiency, conversion rates, cost per acquisition, and cost per subscriber — and recommend optimizations to the performance marketing team.
• Build and maintain reporting on subscription funnel economics: trial starts, trial-to-paid conversion, rebill/retention, churn, and customer lifetime value by channel and campaign.
• Analyze A/B and pricing test results to guide decisions on page content, UX, offers, and pricing.
• Investigate anomalies in traffic, conversion, and revenue data; distinguish real business changes from tracking or attribution artifacts before findings reach stakeholders.
• Retrieve and aggregate data from multiple sources (web analytics, ad platforms, billing/subscription systems, internal databases) into clear, actionable reporting for stakeholders at all levels.
• Design, build, and maintain automated dashboards and reporting solutions in our BI platform (Domo), migrating existing manual and legacy reporting into governed, automated pipelines.
• Automate and optimize existing manual data workflows, reducing time-to-insight and error risk.
• Partner with leadership to define key metrics, KPIs, and dashboards that measure business performance; maintain clear metric definitions and a single source of truth.
• Plan the reporting and analytics roadmap at a high level with business owners, then prioritize and execute the work individually and with BI contractors.
• Work with cross-functional teams (marketing, product, engineering, finance) and external agency partners on day-to-day execution of analytics projects and initiatives.
• Over time, coordinate work with BI contractors supporting platform development, reviewing output for quality and consistency.

Senior BI, Marketing Analyst

• Design, develop, test, document, maintain, and troubleshoot database objects, ETL processes, and custom reporting solutions for Business Intelligence and data integration tools
• Implement reliable data pipelines and scalable data structures
• Create and optimize various reporting products for business users
• Support the full project lifecycle including requirements gathering and defining, solution design, development, quality assurance testing, and user acceptance testing phases of projects

Business Intelligence Developer jobs in United States

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Senior Consultant – Business Intelligence

AI Business Intelligence Developer

Healthcare Business Intelligence Analyst, EPIC Certified

Business Intelligence Developer

Lead Business Intelligence Analyst

Business Intelligence Analyst

Lead Technical BI Analyst

Senior Fraud BI Analyst

Business Intelligence Analyst, Data Insights

Senior Business Intelligence Analyst

Business Intelligence Analyst

Power BI Developer

BI Reporting Engineer

Business Intelligence Analyst

Senior IT Specialist – Power BI

Staff Business Intelligence Engineer

Senior BI Developer

Business Intelligence Analyst

Senior BI, Marketing Analyst

Certified Epic Clarity Business Intelligence Developer