Business Intelligence 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.

Principal Business Intelligence Engineer

• Stakeholder Collaboration: Partner with operational leaders across service lines to translate business questions into reporting and analytics solutions.
• Reporting & Analysis: Build and maintain Power BI reports and dashboards, deliver ad hoc analytical extracts under tight timelines, and analyze operational data to identify root causes, reconcile discrepancies, and surface actionable insights.
• Automation: Replace manual reporting processes with scalable, automated workflows using SQL, Python, or R — scheduled distributions, snapshot pipelines, metric calculations.
• Strategic Communication: Synthesize findings into clear, evidence-backed recommendations for leadership.
• Technical Proficiency: Daily use of SQL (Snowflake), Python or R, and Power BI (DAX) for extraction, transformation, analysis, and visualization across multiple data platforms.
• Team & Growth: Self-driven ownership mindset. Actively support teammates, share knowledge, and pursue continuous professional development.

Senior BI Analyst

• Analyze complex business problems using internal SaaS metrics and external market data to provide actionable insights for decision-makers
• Identify and interpret trends within AECO datasets to locate market influences, regional shifts, and product-led growth opportunities
• Construct data-driven forecasts and tactical plans based on deep market knowledge and business data
• Conduct deep-dive variance analysis of actuals versus budget, providing actionable insights to senior leaders
• Serve as a trusted financial advisor to International Public Sector leaders

Business Intelligence Analyst

• Define adoption and behavioral success frameworks, including leading and lagging indicators and measurement cadence.
• Analyze usage patterns, engagement signals, and behavioral trends to identify drivers of adoption and areas of friction.
• Integrate qualitative feedback (surveys, interviews) with quantitative metrics to provide actionable insights.
• Design and build adoption dashboards using Power BI, Tableau, or similar BI tools.
• Partner with data and engineering teams to model adoption datasets in Snowflake or comparable data platforms.
• Create mock‑up dashboards (e.g., Figma) to align stakeholders on metric intent and visualization approach.
• Document data sources, joins, calculations, and metric definitions to ensure reporting consistency and trust.
• Establish governance for adoption reporting, including metric definitions, refresh cadence, ownership, and data quality checks.
• Ensure accurate, timely, and auditable visibility of adoption metrics for internal teams and dealer audiences.
• Create repeatable documentation and standards to support scalable reporting.
• Partner closely with Product, DACS, Dealers, Customer Support, and Industry Partners to align on adoption insights and priorities.
• Research industry trends and best practices in digital and AI adoption measurement and incorporate learnings into internal approaches.
• Communicate findings clearly to technical and non‑technical audiences.

Lead Business Intelligence Analyst

• define and track key success metrics across the Preferred Seller journey to measure performance and identify growth opportunities
• own core business reporting, dashboards, forecasts, and reviews to inform stakeholders
• lead A/B tests, pilots, and experiments to evaluate performance
• use data to uncover trends and optimize seller conversion, sales performance, and operational efficiency
• partner with leaders across departments for actionable analysis and recommendations
• work with Engineering, Data, and business stakeholders to build scalable datasets and solutions
• design clear analyses and visualizations for internal teams to understand performance
• provide thought leadership and mentor junior analysts

Senior Business Intelligence Analyst, Strategy & Insights

• responsible for generating ad hoc reports and regular datasets or report information for end-users using system tools and database or data warehouse queries and scripts
• integrates data from multiple sources to produce requested or required data elements
• supports and contributes to the enterprise business or engineering application strategy
• oversees and contributes to the configuration, upgrade, and long-term operation of software
• directs the operation and maintenance of software architecture and environments to support the IT needs of the business
• continuously assesses and improves processes to enhance service quality, efficiency, and customer satisfaction
• collaborates with external vendors and service providers

Senior Business Intelligence Developer

• You will support business partners with advanced data insights and serve as a subject matter expert within the organization for all things data related.
• Work closely with our VP of Finance to develop in-depth insights into our user journey including new customer activations and cohort analysis, identifying product success, and customer health and engagement.
• Utilize an advanced understanding of multiple data structures, sources, and tools to guide business decisions, which may include data visualization, business intelligence, or data collection.
• Partner with key stakeholders and business leaders to provide strategic support and recommendations across various teams.
• Build and maintain internal reporting pipelines and dashboards for organization including troubleshooting, development, and access controls.
• Write advanced SQL queries, and system configurations, and manage and execute project plans.
• Conduct training and webinars to enable self-serve analytics for the stakeholders.

• Design, build, and iterate on high-quality Power BI reports and dashboards at scale
• Translate business requirements into intuitive, user-friendly visualizations
• Develop and leverage semantic models to support reporting needs
• Build reporting solutions against Snowflake data and optimize performance for high-usage scenarios
• Implement row-level security (RLS) and contribute to scalable, governed data access patterns
• Assist in establishing deployment pipelines and promotion processes across development, testing, and production environments
• Help define and implement best practices for report development, organization, and governance
• Build and support automation workflows to replicate legacy reporting processes (e.g., scheduled delivery, data blending)
• Partner closely with client teams through collaborative working sessions and knowledge sharing
• Contribute to documentation, reusable patterns, and migration playbooks to support long-term client self-sufficiency

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