**Position can work in NY/NJ/PA (Hybrid Telecommute)**

Why work for Visions?

Flexibility, security, growth, competitive wages, and benefits ranging from medical to retirement – we've got it all. We offer opportunities for advancement, development, and tuition reimbursement. We're a company that's growing more and more every day – and you can, too.

About Us

We're a community-minded organization with more than 50 years of experience. We serve members across three states, and our culture is one built on giving back. We're more than just money – we're people helping people. If you want to be part of something greater, something different, and something growing – then come work at Visions.

We're more than banking. You can be, too. #ClaimYourSeat

Position Purpose/Summary: Focuses on designing experiments, testing hypotheses, and building models as well as conducts data analysis and complex designs programs to improve organizational performance. The Data Science Analyst’s role is responsible for modeling complex organizational problems, discovering Visions’ organizational insights and identifying opportunities through the use of statistical, algorithmic, data-mining and visualization techniques. In addition to advanced analytic skills, this role is also proficient at integrating and preparing large, varied database sets, computing environments, and communicating results. The data science analyst works closely with internal clients, data SMEs, project/program managers, and other internal teams to turn data into critical information and knowledge that can be used to make sound, actionable business decisions based on member and external consumer behaviors. The Data Science Analyst will; work with cross-functional team members to identify and prioritize, high-impact insights across a variety of core business areas; lead applied analytics initiatives that are leveraged across the breadth of our core for financial services; research, design, implement and validate data-mining solutions to analyze diverse sources of data to achieve targeted outcomes. A Data Science Analyst will provide expertise on data analysis concepts for the analytics team and inspire the adoption of advanced analytics and data sciences across the entire breadth of our organization.

Education & Experience: This position would minimally Requires a bachelor’s degree in mathematics, applied statistics or computer science or related quantitative field required, along with Certification in Data Analytics or accredited Certified Data Science Analyst, is preferred. Three to five years of relevant quantitative and qualitative research and analytics experience. Solid knowledge of statistical techniques. Quality or Lean Six Sigma experience preferred.

Essential Duties and Responsibilities: All duties and responsibilities align with Visions Federal Credit Union and are subject to reform at-will of the company. Job Duties include, but are not limited to:

• The position will advocate, build and promote data-fueled outcomes that help more of our members recognize Visions’ product offerings to improve their financial health. This position will dive in and become an expert on our credit union’s datasets. The Data Science Analyst will provide insight into leading analytic practices, design and lead iterative learning and development cycles, and ultimately produce analytic solutions that will become part of our core deliverables for marketing outreach, targeted segmentation, or data-driven decisions.
• Need to be creative thinker and propose new innovative ways to look at problems or assignments by using data mining (the process of discovering new patterns from large datasets) approaches on the set of information available.
• Validate findings using an experimental and iterative approach; able to present findings to the business by explaining assumptions and validation work in a way that can be easily understood by business counterparts.
• Models and frames business scenarios that are meaningful and which impact on critical business processes and/or decisions.
• Analyze new and existing data analysis systems and makes recommendations to the Director and Technical/Data Analysis Manager on data analysis methods, software, and techniques to be used in its goal to improve analytical outcomes.
• Recommends ongoing improvements to methods and algorithms that lead to findings, including new information.
• Provides on-going tracking and monitoring of performance of decision systems and statistical models.
• Implements enhancements and fixes to analysis systems as needed; Performs additional duties and special projects as assigned.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)