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

• Build and maintain Microsoft Fabric data pipelines supporting REST APIs, SQL Server sources, and file-based ingestion processes
• Develop and orchestrate Spark notebooks within Microsoft Fabric
• Implement Bronze, Silver, and Gold lakehouse patterns within OneLake environments
• Build, test, and optimize ETL/ELT processes for performance, scalability, and maintainability
• Design and develop reusable semantic models that support consistent enterprise reporting across multiple business domains
• Migrate existing Tableau reports and dashboards into Microsoft Power BI while validating business logic and report accuracy
• Develop and optimize DAX measures, calculations, and business logic to support executive and operational reporting
• Optimize Power BI report performance, usability, and maintainability using Microsoft Fabric best practices
• Participate in Azure DevOps CI/CD processes
• Partner with business stakeholders to validate reporting requirements and ensure successful report modernization
• Collaborate closely with client engineers through paired development and knowledge-sharing activities

Senior Azure Data Consultant – Microsoft Fabric, Power BI

• Lead the design, development, deployment, and maintenance of Business Intelligence solutions supporting Special Education programs.
• Design and develop interactive dashboards, scorecards, and data visualizations for executive leadership and operational users.
• Create and maintain ad hoc reports, analytical reports, and regulatory reporting solutions.
• Design and optimize SQL queries, stored procedures, and data models to support reporting requirements.
• Collaborate with business stakeholders to gather reporting requirements and translate them into technical solutions.
• Develop and maintain semantic data models, metadata, and reporting standards.
• Ensure the accuracy, integrity, security, and quality of reporting data.
• Optimize BI applications for performance, scalability, and usability.
• Support data integration, testing, deployment, and production issue resolution.
• Prepare technical documentation, report specifications, and user guides.
• Provide technical leadership and mentoring to BI development staff.
• Work closely with project managers, business analysts, data architects, and ETL developers to deliver integrated reporting solutions.

IT Manager – Business Intelligence 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

• 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

• 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.

• Develop and maintain **Python** scripts for data extraction, transformation, and loading (ETL).
• Perform data cleansing and preparation to ensure accuracy and completeness.
• Utilize **MySQL** for data manipulation and to implement complex business logic.
• Design and develop metrics and calculations within **MySQL**.
• Containerize the Python application using **Docker** for consistent deployment.
• Deploy and manage applications in the **Azure Cloud** environment using **Azure DevOps pipelines**.
• Use **Git** for version control and collaboration with the development team.
• Create dynamic and interactive reports and dashboards in **Power BI**.

• 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 York

See all jobs on JobTailor

Senior Consultant – Business Intelligence

Business Intelligence Analyst

Lead Technical BI Analyst

Staff Business Intelligence Engineer

Senior Azure Data Consultant – Microsoft Fabric, Power BI

IT Manager – Business Intelligence Developer

Senior BI & Analytics Analyst

Lead Technical BI Analyst

Business Intelligence Analyst

Business Intelligence Developer

Principal Business Intelligence Engineer