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:

• Bachelor's degree and 3+ years of expertise in analytics.
• At least 1 year of supervisory experience is required.
• Competence with project management, context-appropriate modeling, analysis, common market analytics techniques, Python/R, database querying technologies, and data practices is expected.
• Competence with reporting techniques and business intelligence software is expected
• Proficient in the Microsoft Office Suite programs
• Proficient with standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines, PCs, etc.

• Visions remains committed to the aspects of diversity and inclusion and will consider alternative education and experience.

Preferred Qualifications & Experience:

• Certification(s) with relevant expertise preferred.
• Symitar infrastructure or other financial industry core platform is preferred.

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.

• Knowledge and experience of factor analysis, regression/logistic regression, CHAID/decision trees, K-means, univariate analysis, cross-tabulation analysis, time series analysis, and other analytical practices.
• Machine Learning Operations knowledge and experience with practices, workflows, and environments.
• Ability to understand and advise on ETL processing as it relates to data analytical and data science needs.
• Effective oral and written communication skills.
• Excellent interpersonal and member service skills.

• Effective time management and organizational skills.
• Flexible and able to adapt to changing environments.
• Ability to be detail oriented.
• Able to perform basic mathematical functions.
• Ability to give and receive constructive feedback, forward concerns and issues to manager as needed and adhere to confidentiality.

• Support a welcoming and inclusive environment.
• Embrace and foster an environment that supports our mission and values.
• Respond appropriately and effectively to multiple competing demands, frequent changes, delays, or unexpected events.
• Adhere to all credit union policies, procedures, state and federal regulations and requirements.

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*