Business Intelligence Manager, Product Analytics
New
Z
ZillowReal Estate Technology
U.S. employees may live in any of the 50 United States, with limited exceptions.Full-TimeManager
Salary$98,900.00 - $158,100.00 annually
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Job Details
- Experience
- 5+ years
- Required Skills
- SQLBusiness IntelligenceProduct AnalyticsData visualizationData modelingData analytics
Requirements
- Bachelor’s degree in Data Science, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or a related field.
- 5+ years of experience in business intelligence, data analytics, or a closely related field.
- Working knowledge of modern BI and data visualization tools.
- Experience designing and maintaining dashboards, reports, and data models supporting cross-functional stakeholders.
- Experience querying and transforming data using SQL or comparable query languages.
- Experience working with structured data from multiple sources.
- Experience collaborating with business and technical teams to define metrics, requirements, and success measures.
- Ability to translate ambiguous product questions into concrete measurement approaches.
Responsibilities
- Lead the design and development of business intelligence dashboards and reports that provide clear, timely insight into key performance indicators and operational trends.
- Translate stakeholder questions into analytical requirements, data definitions, and reporting specifications.
- Build, optimize, and document semantic layers, data models, and queries that enable self-service analytics and multi-level reporting across teams.
- Monitor data quality and integrity across BI assets, investigating anomalies and partnering with data engineering on sustainable fixes.
- Partner with product, operations, and finance stakeholders to analyze complex data sets and recommend data-informed actions.
- Standardize BI best practices and reusable components to increase consistency, reliability, and scalability of reporting solutions.
- Provide guidance and training to business users on interpreting dashboards and using self-service BI tools.
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