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

• 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

• Serves as a computer technology expert for assigned functional applications to assist business lines with development and ongoing support
• Provides project release direction and support including research, analysis, review, development, implementation and monitoring of new or revised systems
• Acts as a liaison for project release and typically perform analysis supporting the strategies and objectives of the business line
• Compiles and analyzes information that is very detailed and often interpretive making project release recommendations based on the findings
• Interfaces with internal and external resources to ensure successful completion, installation and implementation in accordance with client needs

Business Intelligence Analyst

• 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

• Engage project teams to conduct root cause analysis to uncover underlying drivers of performance gaps, risk exposure, or execution delays.
• Design and implement solutions that may include changes to processes, tools, systems, or organizational structures.
• Develop process for evaluating, piloting, and developing new program capabilities, including a decision-making structure for new project innovations.
• Lead pilots and full-scale rollouts of new tools, workflows, or reporting standards to address performance gaps.
• Monitor adoption and performance of implemented changes and adjust strategy based on feedback and measurable impact.
• Create documentation, SOPs, and training materials to support process standardization and scalability.
• Strategically collaborate with key trade partners and manufacturers to identify innovation and efficiency opportunities.
• Identify emerging and persistent data center industry challenges and collaborate with sector and other business leaders on deploying initiatives to address these.

Business Intelligence Analyst – Mission Critical

• Design and build scalable backend services supporting analytics and clinical applications
• Own and optimize the semantic layer across SAS, MCC, and Power BI environments
• Develop high-performance Power BI datasets, reports, and dashboards (advanced DAX required)
• Maintain and modernize Tableau dashboards, transitioning them into Power BI where appropriate
• Query and model large datasets using GCP BigQuery for analytics consumption
• Contribute to microservices architecture ensuring reliability, scalability, and performance
• Collaborate with product owners, architects, and engineers to translate business requirements into solutions
• Maintain and interpret legacy SAS environments, supporting transition efforts
• Perform deep-dive troubleshooting and root cause analysis for data and system issues
• Document datasets, reporting logic, and data lineage to enable self-service analytics
• Mentor junior engineers and contribute to cross-functional improvement initiatives

Senior Software Engineer, BI Developer – GCP, Power BI, Tableau

• 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 advanced analytic support to functional clinical and business areas
• Design, build, and deliver comprehensive data solutions
• Support the design, creation and automation of reports
• Create executive-level dashboards
• Present information to help leaders and stakeholders across the organization

Senior 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.

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