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

• 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

• 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

• Collaborate with internal partners to translate business requirements into technical solutions
• Develop and test data assets
• Build tables and views in Microsoft SQL Server, dashboards in Tableau
• Develop intuitive data visualizations
• Establish relationships with business partners
• Lead multiple projects and proactively communicate status

Business Intelligence Analyst II

• 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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