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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Business Intelligence Manager - **Company:** University of Southern California - **Location:** Los Angeles, CA, United States - **Experience:** Experienced - **Salary:** $120,000.0 - $150,000.0 - **Contract:** Temporary contract - **Skills:** Sql Data Warehouse, Data Governance, Data Integration, Data Transformation, Data Warehousing, Database Queries, Operational Data Store, Power BI, Snowflake, Git, Tools for Reporting, Software Version Control - **Published:** June 30, 2026 - **Apply:** https://usccareers.usc.edu/job/los-angeles/business-intelligence-manager-credit-union/1209/97120290960 ## About the Role * Bachelor's degree in business, statistics, or another related field. * Three years of experience in analytics with some supervisory duties. * Direct knowledge and experience in data modeling, data warehousing and reporting. * Strong SQL skills and hands-on experience with a cloud data warehouse. Snowflake experience is required. * Experience building and visualizing reports in Power BI or a comparable tool. * Project management experience for complex projects. * Demonstrated organizational, critical thinking, interpersonal, planning, problem solving, and business analytical skills. * Able to work at a high functional and technical level., * Experience with dbt for data transformation and modeling. * Experience with Airbyte or a similar data integration / ingestion platform. * Familiarity with version control (Git) and analytics engineering practices., Minimum Education: Bachelor's degree Minimum Experience: 3 years Minimum Field of Expertise: Direct knowledge and experience in data modeling, data warehousing and reporting. Project management experience for complex projects. Demonstrated organizational, critical thinking, interpersonal, planning, problem solving, and business analytical skills. Able to work at a high functional and technical level. Job ID REQ20177147 Posted Date 06/30/2026 ## Description * Builds and maintains the underlying business intelligence infrastructure, including the cloud data warehouse (Snowflake), data models, visual style guides, and the pipelines that move and transform data from source systems into analytics-ready tables. * Designs and operates modern data pipelines, including ingestion from operational systems and the transformation logic that prepares data for reporting and analysis. * Produces data collection methods (e.g., surveys, tests, etc.), and develops tools and processes to support analyses. * Generates summary and specified dashboard accounts which represent operational data in brief and intelligible format, suitable for the target audience, such as executive leadership, department managers and supervisors and other analysts. * Provides business data trend information to support recommendations for action. Collaborates with management on matters of best practices, appropriate statistical measures and benchmarking. Provides management with suggestions, as appropriate. * Carries out quality assessment of data, data reports and the accompanying decisions. * Conducts analysis of findings and offers action-driven recommendations and insights to executive leaders and managers on the basis of results. * Provides recommendations for decisions affecting business operations and strategic initiatives. * Trains non-technical stakeholders on use of reporting tools and concepts. * Devises policies and methods to be used for data governance standards, both for internal data and vendor relationships. * May lead staff or student workers, as assigned. ## Related Videos - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)