Data Analyst

Consumers Credit Union•Lake Forest, IL

7d•$67,980 - $108,768•Hybrid

About The Position

Consumers Credit Union (CCU) is looking for a Data Analyst to join the Enterprise Data Solutions team! This is a great opportunity for an experienced Data Analyst who wants to work for a fast-growing, certified Great Place to Work financial institution! As a Data Analyst, you will process, and analyze large datasets to uncover trends, patterns, and insights that support business decision making. Also, you will interpret complex data and present actionable recommendations to stakeholders. CCU is a dynamic company that implements process improvements and changes frequently so the ideal candidate will be adaptable to change and will be able to steadily perform and react in a fast-paced work environment.

Requirements

Bachelor's degree in Analytics, Mathematics, Statistics, Computer Science, Economics, Business or related - Minimum
4+ years’ experience in Business Intelligence, Data Analytics, or related (in a preferred financial institution)
Experience with data visualization tools, programming languages, SQL, and Microsoft applications desired.
High problem-solving abilities, self-starter, and willingness to learn.
Strong written and verbal skills to communicate with cross-functional colleagues and vendors.
Time management and organizational skills – must have the ability and drive to meet deadlines
Availability to work 40+ hours/week and be scheduled between the following hours: Monday-Friday: 8am-5pm

Responsibilities

Interpret and present data findings to key stakeholders in a clear and concise manner.
Collaborate with cross-functional teams to understand business requirements, product performance, and strategic goals to provide valuable insights, and analytical support.
Stay informed about industry shifts and analyze their impact on existing organizational strategies.
Design, develop custom dashboards, and reports to track key metrics.
Ensure timely delivery of insights to stakeholders.
Build and manage metrics, documents, templates, reports, and dashboards to understand daily operations and drive key business decisions.
Perform data analysis accurately and timely using statistical techniques to identify trends and correlations for business units.
Ensure all data is compliant maintaining data integrity and accuracy.