Job Details

Overview

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Our people helping people philosophy has guided us since 1935, driving our commitment to serving our members, communities, and each other. When you join our team, you become part of a purpose-driven organization where your work makes a real difference.

With business and technology transformation on the horizon, theres never been a better time to be part of BECU.

What Youll Do

• Lead Predictive Modeling Projects: Build and deploy machine learning and statistical models that forecast membership growth, optimize location strategy, and improve member experience.
• Own End-to-End Model Development: Manage the full lifecycle of business models from data collection and feature engineering to deployment and performance monitoring.
• Drive Marketing Attribution Analysis: Connect campaign spend to membership outcomes using attribution modeling to guide strategic decisions.
• Enhance Member Experience: Identify actionable drivers of satisfaction and set performance goals using custom segmentations and experience modeling.
• Collaborate Across Teams: Partner with data engineers, analysts, and business stakeholders to align analytics with business priorities.
• Present to Leadership: Share insights and recommendations with senior leadership, including EMT, within the first 3060 days.
• Support Data Pipeline Evolution: Contribute to the teams transition to Snowflake by improving data pipeline efficiency and modeling capabilities.
• Enable Strategic Planning: Provide statistical data to support goal-setting, capital planning, and stress testing.
• Communicate Insights Clearly: Translate complex findings into actionable recommendations for technical and non-technical audiences.
• Perform Ad-Hoc Analysis: Design and present custom analyses, profiles, and market research as needed.
• Write Efficient Queries: Use business intelligence tools and cloud platforms to code queries that integrate multiple data sources.

This isnt just about ticking off tasks on a list. Its about making a significant, positive change in BECUs journey, where your contributions are valued, and your growth is continually fostered.

What Youll Gain

• A high-impact role where your work directly supports BECUs strategic growth goals.
• Opportunities to present your work to executive leadership and influence key decisions.
• A collaborative, sprint-based team environment with autonomy and minimal dependencies.
• Exposure to cutting-edge tools like Python, Alteryx, Snowflake, and Power BI/Tableau.
• A chance to improve member satisfaction and access through data-driven insights.
• A culture that values innovation, continuous learning, and member-first thinking.

Qualifications

Minimum Qualifications:

• Bachelors degree or equivalent experience in Data Science, Statistics, Computer Science, or Economics.
• Minimum 7 years of experience with scripting languages (SQL, Python, R, etc.) and statistical software (SAS, MatLab, ML platforms, etc.).
• Minimum 3 years of experience in financial, marketing, or tech industry.

Desired Qualifications:

• Advanced degree in a related field.
• Experience using Alteryx and Google Analytics/BigQuery.
• Experience with visual data analytics tools including Tableau, Power BI, or Google Data Studio.
• Familiarity with marketing data systems such as Salesforce Marketing Cloud, customer data platforms, Fiserv, or SiteCore.
• Strong presentation and project management skills.
• Experience with Snowflake or other cloud data platforms.
• Background in financial modeling or P&L analysis.
• Comfort working in data environments without a formal data dictionary.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Banking, Financial Services, and Non-profit Organizations

EEO Statement

BECU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.