Sr Business Intelligence Analyst

BECU is a financial institution committed to serving its members and communities. As a Sr. Business Intelligence Analyst, you will play a critical role in shaping how data is structured and delivered across the enterprise, ensuring accurate and reliable data-driven solutions that support strategic decision-making.

Responsibilities:

• Design Scalable Data Solutions: Influence and design data models, structures, and transformation logic that enable accurate and consistent reporting across the organization
• Own End-to-End Delivery: Lead the full lifecycle of analytical solutions, including requirements gathering, data mapping, solution design, validation, and implementation
• Bridge Business & Technology: Serve as a liaison between business stakeholders and technical teams, translating complex needs into structured, data-driven solutions grounded in system capabilities
• Partner on Data Systems & Architecture: Collaborate with data engineering and technology teams to ensure data pipelines, warehouse structures, and reporting layers align with business objectives
• Ensure Data Integrity & Flow: Evaluate and improve data lineage, system interactions, and data quality across platforms to ensure reliability and scalability of solutions
• Drive Continuous Improvement: Identify gaps in data structure, accessibility, and usability, and recommend enhancements that improve process, performance and efficiency
• Lead Testing & Troubleshooting: Guide data validation and testing efforts, lead UAT and resolve issues, to ensure solution meets business and technical requirements
• Mentor & Elevate Others: Provide guidance and mentorship to analysts, promoting best practices in data modeling, problem-solving, and solution design
• Support Critical Operations: Provide on-call support when needed to ensure continuity of service and timely resolution of data-related issues
• Take on Additional Responsibilities: Perform other duties as assigned to support evolving business and data needs

Requirements:

• Bachelor's degree in Computer Science, Information Technology, Business, or a related field — or equivalent work experience
• Minimum 7 years of experience delivering data and business intelligence solutions in complex environments, with advanced proficiency in SQL and working knowledge of relational and non-relational databases
• Hands-on experience with data warehousing concepts, including data modeling, architecture, ETL/ELT processes and data pipelines, and data flows from source systems through integration and presentation for end-user consumption
• Proven ability to collaborate and manage stakeholder engagement by working across business and technical teams to gather functional and technical requirements, perform business and data analysis, design and deliver scalable data solutions, data models, data structures, reports and dashboards
• Working knowledge of Software Development Life Cycle (SDLC) and Agile methodologies, with demonstrated experience owning solutions end-to-end from requirements through delivery
• Analytical and problem-solving skills, with the ability to identify root causes and implement scalable, robust solutions
• Advanced degree preferred
• Advanced level knowledge of data manipulation languages and tools such as Python, Alteryx, tableau, Power BI, etc
• Understanding of Cloud Computing and modern data platform technologies such as Snowflake, Databricks, Azure, AWS, Google Analytics, etc
• Conversant with Machine Learning, Artificial Intelligence concepts, tools and technologies
• Experience with Finance/Fintech applications, systems, processes and best practices