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

• 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

• 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

• Serve as the analytical backbone of the HR Service & Digital Experience organization—owning critical reporting and ensuring data integrity.
• Translate complex operational and contractual data into clear, actionable insights for senior leaders.
• Deliver data-driven insights that simplify, innovate, and improve the experience for core leaders and caregivers.

Senior Business Intelligence Analyst

• 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

• Perform an assortment of analyst-level projects that would require strategic insight and collaboration across multiple technology teams.
• Research, data collection, process analysis, or providing documentation of findings around business processes, software/solutions, or business partner needs.
• Develop a deep understanding of how IS (Information Services) functions at Providence and support its business clients, clinical users, and strategic priorities.

Associate Business Intelligence Analyst

• Partners with the business to turn data into critical information and knowledge.
• Develops reporting and analytic solutions with knowledge of the primary source data (i.e., electronic health records, claims) and workflows.
• This role promotes data literacy by educating and training customers to use the data as an analytical tool.
• Gathers business requirements and translates the information into detailed technical specifications from which programs will be written or configured.
• Works closely with other BIDs, Data Engineers, Data Scientists, and internal/external customers.

• 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.

• 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

• Design, build, and maintain interactive Power BI dashboards, paginated reports, and HTML dashboards for stakeholders across membership, events, the Foundation, and operations.
• Write advanced DAX expressions to support complex business logic, time intelligence, and KPI calculations.
• Write and optimize SQL queries against the NetFORUM database and other source systems to build reliable, well-structured data layers.
• Own the monthly official membership report cycle: validating data against a fixed monthly snapshot, coordinating with teams responsible for further validation, and publishing the final report on schedule.
• Conduct regular data quality checks, troubleshoot discrepancies, and work with stakeholders to resolve issues at the source.
• Partner directly with non-technical stakeholders to gather requirements, ask the right clarifying questions, and translate ambiguous requests into concrete report designs.
• Build and maintain reusable components, templates, and standards that promote consistency across the reporting portfolio.
• Use AI tools to support query writing and DAX development where useful, while owning the hands-on design and build work that still requires human judgment.
• Document data definitions, sources, and business rules to support broader data governance.

BI Developer

• As a Sr BI Analyst I, you will be responsible for working closely with many divisions of the company such as Product Development and Adoption, Technology, Performance, Growth, and Strategic Payer Partnerships.
• This position develops moderately complex datasets, assists with complex dataset updates and modifications, and develops data visualizations and analyses that answer a broad set of questions across the company and begin to go deeper as a subject matter expert in at least one subdomain.
• You work closely with other BI team members on a daily basis and have direct exposure with stakeholders across the company.
• You will be knowledgeable in healthcare analytics, population health, and value-based care.

Senior BI Analyst

• 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.

• Proactively drive monetization strategy, yield optimization, and operational excellence across T-Mobile’s owned and operated (O&O) and third-party advertising inventory.
• Blend expertise in advertising technology, business intelligence, and revenue management to maximize performance and unlock new revenue opportunities.
• Take a hands-on, forward-looking approach to daily revenue trend monitoring, initial troubleshooting, and cross-functional data standups.
• Identify risks and opportunities before they impact results.
• Oversee the creation of dashboards, pricing models, and inventory health strategies to support T-Mobile’s continued growth as a premier advertising platform.
• 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 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.

• 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

• Craft and develop scalable reporting, dashboards and data solutions using SQL, Tableau, and other tools
• Build custom data visualizations and interactive analytical applications using web frameworks (e.g., Streamlit, Flask, Dash, or similar) to deliver experiences beyond what standard BI tools provide
• Develop automation solutions to integrate disparate systems and automate otherwise manual workload
• Create analytical data models that support standardized metrics tied to production rate ramp and supply chain performance
• Collaborate with supply chain leaders, production control, and program management to identify and build metrics that enable leaders to lead their teams
• Build strategic reporting solutions for leadership to support Weekly Business Reviews (WBR) and Monthly Business Reviews (MBR)
• Work with partners and domain specialists to generate reporting, application, and integration requirements
• Use AI coding assistants to accelerate development, and critically review and refine all outputs before shipping to production
• Provide business analysis and technical expertise to internal and external partners
• Maintain day-to-day workflow and communication with a variety of partners across the company

Senior Business Intelligence Engineer

• 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

• Attend and participate in meetings with client stakeholders
• Build interactive reports and dashboard using the Microsoft BI technologies including Power BI and SSAS, as well as Oracle 19c – strong focus on Power Apps and Power Automate
• Develop reports and business models using Power BI (including DAX language)
• Experience with Microsoft Azure platform and service (Power BI, Azure SQL Data Warehouse, Azure Synapse, Azure Data Factory)
• Experience with SQL and RDBMS data structures in a reporting context
• Assist business users on functional and data requirements to enhance reports and report data
• Experience in requirement analysis, design, and prototyping
• Strong understanding of Data Analytics application security layer models
• Experience with Enterprise Resource Planning (ERP) or Federal Financial Management solutions

Power BI Developer

• 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 Washington

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Senior Consultant – Business Intelligence

Business Intelligence Analyst

Lead Technical BI Analyst

Staff Business Intelligence Engineer

Senior Business Intelligence Analyst

Senior BI & Analytics Analyst

Associate Business Intelligence Analyst

Senior Business Intelligence Analyst

Business Intelligence Analyst

Lead Technical BI Analyst

BI Developer

Senior BI Analyst

Business Intelligence Analyst

Business Intelligence Analyst

Senior Business Intelligence Analyst

Senior Analytics Business Intelligence Engineer

Senior Business Intelligence Engineer

Mid-Level Business Intelligence Analyst

Power BI Developer

Principal Business Intelligence Engineer