Data Analyst

Role Overview

The Data Analyst will help transform data into actionable insights to enhance member experience and drive strategic growth. This role combines technical data analysis with business problem-solving, supporting teams across the credit union with reporting, analysis, and strategic recommendations.

What You Will Do

The ideal candidate will extract key insights from financial and member data, work closely with leadership to shape operational and strategic decisions, and develop and maintain dashboards and reports that provide visibility into key financial and member engagement metrics.

Why It Might Be a Fit

The ideal candidate is both data-savvy and business-minded, capable of communicating technical findings in a clear, business-focused manner, and has excellent problem-solving skills and the ability to translate business requirements into technical solutions.

Requirements

• A degree in a related field, such as Data Analytics, Business Administration, Finance, Economics or a related field.
• Minimum 3 years of experience in data analytics, business intelligence, or financial analysis.
• Strong proficiency in SQL, Power BI (or similar tools), and Excel.
• Understanding of credit union operations, lending, and financial services.
• Background in automation and process improvement initiatives.
• Ability to communicate technical findings in a clear, business-focused manner.
• Proficiency with MS Office (Outlook, Word, Excel, PowerPoint and SharePoint)

Benefits

• Multiple medical plans to choose from, including PPOs and HSA-qualified plans, as well as dental, vision, and services to support overall mental and physical health.
• Employer-paid life insurance, disability coverage, and AD&D coverage.
• 401(k) retirement plan with company matching contributions and profit-sharing contributions.
• Generous paid time off, access to CU1’s accredited early learning center in Anchorage, Alaska, employee loan and mortgage discounts, education assistance, volunteerism and community engagement opportunities within the communities we serve.

Tagged as: Data Analysis