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Sr BI Developer - Fraud Modeling & Analytics

BECU

$88,700 - $165,200
Aug 26, 2025
Remote, US
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Transforming complex data into powerful solutions to enhance decision-making and drive meaningful change at BECU

Requirements

  • Minimum of 5 years of experience in data mining and working with large-scale, complex datasets
  • Expertise with data visualization and reporting
  • Experience in the full analytics project lifecycle, from data extraction to visualization
  • Proficiency in ETL tools such as Alteryx or Informatica
  • Experience with Tableau or similar tools
  • Experience with Microsoft Azure Cloud Computing or other cloud-based platforms
  • Experience in programming languages such as Python, R, or SAS for data analysis
  • Advanced SQL skills with demonstrated ability to write optimized queries
  • Understanding of data governance and data stewardship best practices

Responsibilities

  • Solve Data Challenges: Troubleshoot and resolve data, system, and performance issues to ensure seamless reporting and analytics
  • Optimize Data Infrastructure: Configure and fine-tune Extract, Transform, Load (ETL) processes to improve efficiency and performance in our data warehousing architecture
  • Uncover Insights: Analyze large datasets from internal and external sources to identify trends, risks, and opportunities that enhance decision-making
  • Build Meaningful Data Solutions: Develop and maintain ETL specifications, data maps, and process documentation to support reporting and business analytics
  • Lead Small-Scale Projects: Manage and execute projects that enhance reporting capabilities, ensuring smooth implementation and continuous improvement
  • Design Engaging Dashboards: Create interactive and insightful dashboards using Tableau or Power BI to provide clear, actionable insights to stakeholders

Other

  • Resident of WA, OR, ID, AZ, TX, GA, or SC
  • Ability to come into HQ on Tuesdays & Wednesdays for those located in Washington state and within a reasonable driving distance from Tukwila
  • Bachelor’s degree in computer science, IT, Business, Statistics, or equivalent work or educational experience