Sr Business Intelligence Analyst

BECU•St. David's, WA

3d•Hybrid

About The Position

As a Sr. Business Intelligence Analyst at BECU, you’ll play a critical role in shaping how data is structured, transformed, and delivered across the enterprise. This is not a role focused on simply consuming data or building reports, building data pipelines — it’s an opportunity to utilize your knowledge of traditional and modern data warehouse concepts, data flows and modeling, to create scalable, robust and secure Enterprise BI solutions that enable users to build meaningful business insights for informed business decisions. You’ll partner across business and technology teams to design scalable, data-driven solutions that support strategic decision-making. By bringing strong communication skills, systems-thinking mindset and owning solutions end-to-end, you’ll ensure the data powering our decisions is accurate, reliable, and aligned to business outcomes. Your work will directly influence how BECU leverages data to improve operations and elevate member experience. This isn’t just about ticking off tasks on a list. It's about making a significant, positive change in BECU’s data and analytics journey, where your contributions are valued, and your growth is continually fostered.

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

Nice To Haves

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

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.