Grow Financial Federal Credit Union hiring Data Analyst in United States | LinkedIn (2024)

At Grow Financial Federal Credit Union, we believe in service — to our 300,000 members, 600 team members and local communities. We’re not just your average bank. We’re a credit union, owned by our members and dedicated to serving people, not profit. We know that happy, engaged people provide the best service, so we live by our mantra Be Bold. Be Great. Have Fun. Consistently named a Top Workplace by the Tampa Bay Times among multiple national awards we strive to develop a diverse, collaborative culture where you can grow personally and professionally.

Our “work from where you do your best work” strategy provides flexibility to our team members — who currently reside across the U.S. — with a variety of remote, hybrid and in-person roles. We enjoy plenty of opportunities to stay connected through video collaboration, digital tools, community service initiatives and numerous activities. Whether you thrive in a remote setting, prefer the energy of in-person collaboration or seek a balance between the two, you'll find your fit here. Join us as we seek to make things grow — people, communities, money and dreams.

Grow Financial is headquartered in Tampa, FL. For remote roles, candidates must be located in the following states AL, AZ, AR, DE, FL, GA, ID, IN, IA, KS, KY, LA, MS, MO, MT, NE, NH, NC, ND, OH, OK, PA, SC, SD, TN, TX, UT, VA, WV, WI, WY.Some of our Benefits/Perks

• Medical/Dental/Vision Insurance
• Employee discount on loans Team members qualify for a discount on consumer and mortgage loans.
• Tuition Reimbursem*nt 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.

Performs advanced business analysis using various techniques, e.g. statistical analysis, predictive modeling, machine learning and data mining. Responsible for gaining an in-depth understanding of business problems as it relates to the visibility (insights), and feasibility an analytic solution would provide. Works closely with functional areas and business leaders to identify analytical requirements. This includes development and deployment of analytic models, supporting overall Grow and departmental strategic objectives, recommending profitable and/or cost-effective solutions that enhance member experiences or modernize processes; and collaborating with business partners to promote data-driven decision making.

Required Skills & Experience

• 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 statistics, financial modeling, or forecasting 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

• This role is fully remote, with the option to work from our HQ or retail locations.

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