Why work for Visions?
Flexibility, security, growth, competitive wages, and benefits ranging from medical to retirement - we've got it all. We offer 40-hour (full-time), 30-hour (part-time plus), and part-time positions, along with 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
**Remote Opportunity Available - NY, NJ or PA Residence Only**
Job Position Purpose/Summary: As the Data Analytics Manager, you are primarily responsible for the development and maintenance of solutions pertaining to data science, data analytics, and business intelligence. You will oversee a team of data science and machine learning analysts and ensure that they are productively moving work through the development pipeline. You will need to maintain priorities and statuses on many concurrently assigned tasks of varying complexity while supervising a team. You will need to maintain a solid knowledge of trends, technology, and tools that are relevant to data analytical efforts and make recommendations as appropriate. This is a working manager role in which you will keep your analytical skills sharp by taking on limited opportunities and adjacencies to ensure that you are able to dialogue with your team and truly understand their needs.
Education, Qualifications & Experience:
Preferred Qualifications & Experience:
Knowledge, Skills & Abilities/Competencies: Due to the nature of this role dealing with a diverse set of members and/or employees, the position requires (and is not limited to) the items listed below.
Compensation Range: $95, 000/yr. - $ 135,000/yr. *Hiring rates may be dependent on a number of factors, including years of directly related work experience, education, geographic location or special skills*