Enterprise Data & Business Intelligence Analyst

$110,900 - $135,600/Yr

Boeing

Full-time - Mid Level

10,001+ employees

Transportation Equipment Manufacturing

About the position

As the Enterprise Data & Business Intelligence Analyst (BIA) at BECU, you will play a crucial role in transforming data into actionable insights that drive business decisions. This position involves collaborating with various teams to build and support Business Intelligence (BI) and Advanced Analytics solutions, ensuring data accuracy and accessibility. You will bridge the gap between technical capabilities and business needs, helping to shape data-driven strategies that enhance BECU's impact.

Responsibilities

• Collaborate with product owners, developers, and data stewards to document and communicate product and program requirements.
• Manage data sourcing, metadata, business rules, and algorithm documentation to reflect standardized data management principles.
• Work closely with Product, Engineering, and Architecture teams through all phases of the BI and analytics lifecycle.
• Perform exploratory data analysis to generate insights, test hypotheses, and identify trends within curated data sets.
• Tackle analytic and computational challenges by understanding root causes and developing strategies.
• Develop and test validation scripts and controls to maintain high data quality and reliability.
• Design and maintain conceptual and logical data models to support data management initiatives.
• Create technical release manuals, system configurations, and policies to optimize the use of BI solutions.
• Conduct technical walk-throughs and demos with development and business stakeholders.
• Take on other responsibilities as needed to support team and organizational goals.

Requirements

• Bachelor's degree in Computer Science, Math, IT, Business, or equivalent experience required; advanced degree preferred.
• Minimum 5 years of experience in data management solutions, with expertise as a Business Intelligence Power User and Data Consumer.
• Comprehensive experience in supporting the full data life cycle, including development, modeling, and data manipulation.
• Intermediate knowledge of SQL, NoSQL, Python, Alteryx, and tools such as Tableau or Power BI.
• Proficiency in Cloud Computing and data architecture, including familiarity with Azure, DataOps, JIRA, and Agile development tools.
• Strong ability to plan, organize, schedule, and execute projects using established project management methodologies.

Benefits

• Medical, dental, vision, and life insurance coverage.
• Disability and AD&D insurance.
• Health care and dependent care flexible spending accounts.
• Health savings accounts for eligible employees.
• 401k plan and employer-funded retirement plan.
• Accrual of 6.16 hours of paid time off (PTO) per pay period, up to a maximum of 160 PTO hours per year.
• Ten paid holidays throughout the calendar year.