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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Business Intelligence Analyst - **Company:** Mathematica, Inc. - **Location:** Princeton, NJ, United States - **Experience:** Expert - **Salary:** $105,000 - $135,000 - **Contract:** Permanent contract - **Skills:** .NET Framework, Application Programming Interfaces (APIs), Amazon Web Services, Business Analytics Applications, Data Analysis, Business Intelligence Development, Cloud Computing, Cloud Database, Cloud Storage, Databases, Continuous Integration, Data Validation, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Mart, Data Transformation, Data Systems, Data Warehousing, Relational Databases, Database Queries, DevOps, IBM Cognos Business Intelligence, Python (Programming Language), Mathematica, Metadata, Operational Databases, Performance Tuning, Release Management, Power BI, Cloud Services, Software Engineering, SQL Databases, Tableau (Software), Data Processing, Sql Optimization, Snowflake, Data Lakes, Kubernetes, Deployment Automation, Qlikview, Star Schema, Data Management, Looker Analytics, Software Version Control, Data Pipelines, Databricks - **Published:** November 10, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88828062/1 ## About the Role * 7-10 years of experience developing production BI, analytics, data engineering, or related data solutions. * Strong hands-on experience with Power BI and/or Tableau, with advanced proficiency in at least one and ability to independently develop, deploy, and support complex BI solutions. * Advanced SQL and relational database skills, including complex queries, transformations, and performance optimization. * Experience designing dimensional models, star/snowflake schemas, semantic models, data marts, and aggregation strategies for BI and analytics. * Hands-on experience building and troubleshooting ETL/ELT production processes and data pipelines across multiple data sources. * Experience with AWS data solutions, including cloud storage, databases, data integration/processing, security, and scalable architectures. * Ability to diagnose and optimize performance across the BI and data stack, from dashboards and queries to pipelines and data warehouses. * Experience with software engineering practices, including version control where supported, testing, CI/CD, release management, deployment, and production support. * Strong technical leadership, analytical, and communication skills, including leading technical design, mentoring developers, establishing best practices, and collaborating across technical and business teams., * Hands-on experience developing data pipelines, transformation frameworks, APIs, utilities, or data processing applications using Python and/or .NET. * Experience with Snowflake and/or Databricks, including data engineering, transformation, modeling, performance optimization, and analytics workloads. * Experience with additional BI and analytics platforms such as Looker, Qlik, Cognos, or similar technologies. * Experience designing and implementing cloud-based data warehouses, lakehouses, data lakes, and analytics platforms. * Experience with modern data transformation and orchestration frameworks and cloud-native data integration services. * Experience with data management, metadata, lineage, data governance, and data quality practices. * Experience working with healthcare or public-sector data, including claims, beneficiaries, provider, enrollment, program, or quality-measurement data. * Ability to administer Tableau server. ## Description * Design, develop, and maintain enterprise BI and analytics solutions using Power BI and Tableau, translating business requirements into scalable, intuitive, production-ready products. * Design supporting data models and data marts, including dimensional models, star/snowflake schemas, semantic models, and aggregation strategies optimized for analytics and reporting. * Build and maintain production data pipelines and ETL/ELT processes using SQL and, where appropriate, Python, .NET, AWS-native services, Snowflake, or Databricks. * Optimize end-to-end BI performance, identifying and resolving bottlenecks across dashboards, semantic models, queries, data models, pipelines, databases/warehouses, and cloud infrastructure. * Apply software engineering and DevOps practices, including version control where supported, testing and data validation, CI/CD and deployment automation where applicable, release management, monitoring, and production support. * Lead technical design and architecture discussions, prototypes, proofs of concept, and architecture reviews, ensuring solutions meet scalability, security, accessibility, maintainability, data quality, and cost requirements. * Collaborate with clients and cross-functional teams to translate complex business and analytical needs into effective BI, data engineering, and data modeling solutions. * Provide technical leadership and mentorship through code, dashboard, and data model reviews; establish development standards and best practices; and guide teams through complex technical challenges. * Troubleshoot complex production issues across the BI and data stack, identify root causes, and implement solutions that improve reliability and performance. * Support project planning and technical solutioning by estimating effort, identifying risks and dependencies, evaluating technologies, and contributing to proposals and implementation approaches., Any offer of employment will be contingent upon passing a background check. Various federal agencies with whom we contract require that staff successfully undergo security clearance as a condition of working on the project. If you are assigned to such a project, you will be required to obtain the requisite security clearance. Additionally, if you participate in/complete the application process and are denied, Mathematica may choose to terminate your employment. We take pride in our employees and in their commitment to excellence. We encourage staff to collaborate in developing creative solutions to difficult problems and to share the responsibility and enjoyment of carrying out complex projects. This collegial spirit has helped us earn our reputation for innovative and high quality work.