Data Analyst II - (In-Person / No Relocation / No Sponsorship) - Navigant Credit Union

ABOUT:

People helping people. That's what a credit union, and in particular Navigant Credit Union, is all about. Our mission is to improve the financial well-being of the families, businesses, and communities we serve, and have been since our founding in 1915.

Now at more than $3 billion in assets, Navigant Credit Union is among the largest credit unions in Rhode Island, yet still maintain our community-driven values.

Those values-and our belief in putting people first-are just a few of the reasons why Navigant Credit Union has been named "Rhode Island's Best Place to Work" year-after-year by the Providence Business News.

Our Core Values consist of "Leadership, Unity, Caring, and Integrity" are the guiding principles for our organization. They are the qualities and/or traits that we consider a high priority for Navigant Credit Union employees.

Our company prides itself on demonstrating community-based values and investing in our workforce, while exceeding member expectations. We offer tremendous opportunities for professional development, career advancement, and a best-in-class benefits package including a rich medical and dental plan, vision benefits, a robust 401(k) with a generous employer match, tuition reimbursement, competitive salaries, paid volunteer days, and opportunities to give back to the community.

If you believe you'd be a great fit, and are interested in joining our team, submit an application today!

ABOUT THE ROLE

Under general supervision, but following established policies and procedures, is responsible for developing and maintaining organizational reports, metrics, and scorecards/dashboards. The Data Analyst ensures accurate and timely distribution of data in support of organizational goals and responsibilities. The Data Analyst identifies opportunities to further leverage existing data applications for continuous process improvement around the distribution and consumption of organizational/external data.

*Please Note - this is an in-person position in Smithfield, RI.

- No relocation or sponsorship provided at this time.

WHAT YOU WILL DO (in descending order of importance)

1. Extracts data from multiple sources to present in meaningful charts, graphs, tables, or other visualizations.
2. Supports organizational goals and objectives through data collection and analysis for assigned projects and process improvement programs.
3. Maintains existing dashboards and reports ensuring accuracy and consistent delivery methods through use of automated tools and workflows.
4. Delivers data-driven strategic insights, trends, and predictions to the Marketing team on current media optimization and future investment opportunities
5. Ensures accurate and timely information gathering for internal and external audit requests.
6. Works closely with Marketing, Sales, and Lending teams to identify opportunities for new member acquisition
7. Conducts competitive research and analyze benchmarking data; devises and evaluates methods for collecting data, such as surveys, focus groups, questionnaires, and opinion polls.
8. Works alongside representatives from various departments to apply their data by designing and providing suggestions for them to implement business models.
9. Performs other reporting, analysis, project, and administrative related duties as assigned by the FVP, Financial Planning & Analysis and Data Science Manager.

QUALIFICATIONS:

Education

Minimum One Year of SQL Experience required

Bachelor's degree in Data Science, Applied Statistics, Computer Science, Actuarial Mathematics required

Minor in Marketing/Marketing Analytics preferred

Experience/Skills/Knowledge:

1. Demonstrated knowledge of SQL with working knowledge of data presentation and report writing methodologies. Familiarity of reporting tools (e.g. SQL, Tableau, Paginated Reports, Excel, PowerBI, Access, SalesForce, etc.) preferred.
2. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
3. Understanding of advanced statistical methods, machine learning, data mining and AI.
4. Advanced knowledge of Python or R.
5. Knowledge of digital analytics and social media measurement tools (Facebook Analytics, Twitter Analytics, Google Analytics, etc).
6. Excellent verbal, written, telephone and interpersonal communication skills. Strong negotiation and collaboration skills required.
7. Strong member service orientation. Experience working in a team-oriented, collaborative environment.
8. Ability to handle simultaneously, multiple tasks and changing priorities.
9. Ability to work/learn independently.