• 
  Medical/Dental/Vision Insurance
• Employee discount on loans Team members qualify for a discount on consumer and mortgage loans.
• Tuition Reimbursement of up to $5,250 per year for full-time team members.
• Paid Time Off 15 days/year & over 10 Paid Holidays
• Paid Volunteer Days Grow provides two bi-annual paid volunteer days to all team members.
• Retirement Benefits (401K) Grow matches up to 8% for team members.
• Growth Potential In-house training department dedicated to helping our team members reach their maximum potential.

• Interprets and analyzes large amounts of data using exploratory mathematical and statistical techniques.
• Builds predictive models, selects features, and optimizing classifiers using machine learning techniques.
• Identifying and extending credit union’s data capabilities with third-party sources of information.
• Processing, cleansing, and verifying the integrity of data used for analysis.
• Analyzes problems and determines root causes.

• Works with functional areas and business leaders to identify analytical requirements and define a problem statement.
• Identify assumptions, limitations, constraints, and the key metrics of success to business problems.
• Summarize analytical data into user-friendly reports translating highly technical, detailed data into appropriate recommendations and key metrics requested by management and various business lines.
• Advise business partners on options, constraints, risks, costs, and benefits of proposed projects.

• Bachelor of Arts/Science degree from an accredited college or university in Statistics, Mathematics, Computer Science or related discipline required. Master’s degree preferred.
• Minimum of 3 years of work experience with financial, analytical, or related research experience required.
• Expert knowledge of Microsoft Office applications (Word, Excel, and Power Point) required.
• Strong quantitative analysis skills using statistical software such as R, SQL and Python required.
• Experience working with large datasets. Extensive knowledge of statistical methodologies including hypothesis testing, linear regression, modeling, simulation, and analysis of variance.
• Knowledge of relational database technology and business intelligence tools (e.g. Tableau).
• Must be comfortable working on projects in an agile, iterative or multi-generational manner.
• Eager to learn, enthusiastic, motivated and a self-starter.
• Must be an analytical thinker and problem solver, as well as possess and display effective organizational and communication skills.
• Ability to manage multiple priorities and work under deadline with minimal supervision required.

PHYSICAL DEMANDS

• Must be able to sit for extended periods of time.
• Must be able to read, write, speak and type English.
• Must be able to hear and use a telephone.
• Use of computer requires repetitive keystrokes.

WORK ENVIRONMENT

• Traditional office setting; remote work available.
• Sedentary role