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Data Analytics Supervisor

Location: This opportunity is available in the Corning, NY area, greater Wilmington, NC area and Myrtle Beach, SC areas. Remote work options will also be considered in PA, NC, SC, GA, TX, and much of NYS.

Corning Credit Union is seeking a Data Analytics Supervisor to join our Data Analytics Team.

Corning Credit Union (CCU) is one of the leading credit unions in the nation with $2.4 billion in assets and more than 160,000 members worldwide. Headquartered in Corning, NY, we also have facilities in Wilmington, NC, Myrtle Beach, SC, and Franklin County, PA.

We exist solely to serve our members. We're committed to helping our members prosper by being a trusted advisor for financial services. We are also committed to fostering a strong service culture within the organization. Teamwork, open communication, and valuing the individual are just a few of the key performance standards that help us provide an exceptional work environment for our outstanding team.

If you share our passion for serving others, then CCU is the place for you to build a rewarding career. In addition to the vast opportunities that exist within the organization, CCU also offers a competitive base salary and annual bonus plan along with an exceptional benefits package. With a strong emphasis on our team and dedication to excellent customer service, Corning Credit Union continues to be an employer of choice across the markets we serve.

Role Summary: The Data Analytics Supervisor is an operational role that acts as an experienced Business Strategies Analyst while also providing leadership, oversight, strategy, and direction around the Credit Unions data analytics strategy and systems. The Data Analytics Supervisor also oversees and coordinates the Credit Unions Data Analytics Group, which is a cross-functional team of various analysts in other departments. The Data Analytics Supervisor uses this group to discuss and establish data standards, to help coach and educate other analysts on various methodologies, and to share resources to help build skills across the organization.

Essential Job Duties

• Understands and helps manage how data flows, into which systems it flows, how it is transformed, etc. to ensure usable data assets are available to the Credit Union team.
• Participates in discussions and decisions related to new codes, fields, processes, etc. related to data within Symitar, Salesforce, and other source systems.
• Leads a collaborative process in the creation of data governance standards and a data governance framework for the Credit Union data assets.
• Works closely with IT, Finance, third-party vendors, and contractors to help strategically plan, design, and maintain the data assets and systems required to conduct necessary analysis; this includes migration to a cloud-based data warehouse and other analytics tools, systems, and platforms.
• Facilitates communication with the Information Security Team to ensure that our data strategy and our information security strategy coalesce.
• Establishes and oversees the Credit Unions Data Analytics Group of cross-functional analysts across the Credit Union.
• Helps create a culture of self-service data by building appropriate departmental datasets and helping other areas understand how and where they can get their own data utilizing tools such as Tableau Cloud, Excel, and other delivery channels.
• Evaluates new technologies or methodologies and works with other Leaders to assess and implement those into the Credit Unions data operations.
• Assists with workload allocation throughout the department and reviews new requests ensure proper resources and skillsets are available.
• Conducts status update meetings with other team members, as appropriate, to ensure deadlines are met and initiatives move according to projection.
• Assumes responsibility for other duties or projects as required or assigned.

Required ompetencies

T-SQL development skills required for the troubleshooting and maintenance of mission-critical stored procedures, tables, views and ETL processes.

Advanced skills using Microsoft Excel, SQL Reporting Services, and various business analytics programs and tools.

Excellent analytical and judgment skills, as well as the ability to make quick decisions and think outside the box when working with complex situations.