> Markdown version of [/jobs/ext/4324719-sr-business-intelligence-engineer](https://www.wearedevelopers.com/jobs/ext/4324719-sr-business-intelligence-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Business Intelligence Engineer - **Company:** SRI Resources - **Location:** Burbank, CA, United States - **Experience:** Expert - **Salary:** $166,400.0 - $178,880.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Analysis of Variance (ANOVA), Business Intelligence Development, Data Auditing, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Database Queries, Python (Programming Language), Performance Tuning, Cloud Services, SAP (Applications), SQL Databases, Tableau (Software), Enterprise Data Management, Enterprise Software Applications, Snowflake, Star Schema, Natural Language Understanding, Data Pipelines - **Published:** October 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/sr-business-intelligence-engineer-burbank-ca--a9750b5b-064d-4adb-9d4f-b3b1318ff63f ## About the Role Business Intelligence, Diving, Tableau, SQL (Structured Query Language), Reporting Dashboards, Snowflake Schema, Cost Allocation, Business Intelligence, Financial Trend Analysis, Financial Reporting, * Very proactive, very curious, someone who handles large deep diving into data SQL and Tableau are must haves. * Must be able to set up dashboards, Snowflake experience - will be working with Snowflake for deep dive data driven work., " 5+ years of experience in Business Intelligence, Data Engineering, or Analytics Engineering. " Advanced Tableau development and dashboard design experience. " Strong SQL skills, including complex queries, data transformations, and performance optimization. " Experience with ETL/ELT processes, data integration, and enterprise data modeling. " Experience working with large financial or operational datasets. " Strong analytical, problem-solving, and stakeholder communication skills., " Experience with IT financial management, technology cost allocation, chargeback, or enterprise financial reporting. " Familiarity with ComSci, Apptio, SAP, Coupa, or similar platforms. " Experience with Python, cloud data platforms, and modern data warehousing. " Knowledge of financial concepts including OPEX, CAPEX, forecasting, and variance analysis. " Exposure to AI-driven analytics, semantic modeling, and natural language query capabilities. ## Description We are seeking a Senior Business Intelligence Engineer to support the development of our Enterprise Technology Cost Transparency initiative. This role will design and deliver scalable financial reporting and analytics solutions that provide business leaders with visibility into technology spending, cost allocations, consumption, and financial trends. The ideal candidate combines strong Tableau development, SQL, data engineering, and financial analytics expertise to transform complex enterprise data into actionable business intelligence., " BI Development: Design and develop Tableau dashboards, executive reporting, KPIs, and interactive drill-down capabilities. " Data Integration: Consolidate financial data from ComSci, direct billing, procurement, and other enterprise systems into a unified reporting solution. " Data Engineering: Develop and optimize SQL queries, ETL/ELT pipelines, data models, and reporting datasets. " Financial Analytics: Build reporting capabilities to analyze technology spend, cost allocations, consumption trends, variances, and financial performance. " D ata Quality & Governance: Ensure reporting accuracy through reconciliation, validation, documentation, and appropriate data access controls. " Advanced Analytics: Establish the data foundation for future AI-powered insights, natural language querying, anomaly detection, and proactive financial intelligence. " Stakeholder Collaboration