At Nicolet National Bank, our culture is based on the principles of community banking, putting the needs of our customers at the forefront of our decision-making. Our Core Values drive everything we do, and we are committed to serving our customers with excellence. We believe that every job in our organization is critical to our success, and we are dedicated to creating a work environment where our employes feel valued, respected, and supported. With locations in Wisconsin, Michigan, Minnesota, and Florida we are proud to service our local communities and make a positive impact on the lives of our customers. At Nicolet National Bank, we believe that our people are our most valuable asset, and we are committed to investing in their growth and development.
This position is primarily responsible for building and maintaining the data used for operational efficiency, project analysis, and ad-hoc operational analytics. Additionally, they can break down complex problems and processes to evaluate the tools necessary for automation or increased efficiencies.
As a Data Solutions Engineer, you will:
- Initiate and participate in projects providing process improvements, requirements, design, testing and implementation.
- Responsible for data aggregation between multiple datasets with varying data structures aimed at creating efficient data streams for analytics or automation.
- Responsible for designing and building data platforms, tools, and solutions that help the bank manage, secure, and generate value from its data.
- Identify and maximize systems that are appropriate for the business area supported (including but not limited to Operations, Retail, Commercial, Wealth, IT, and Finance).
- Leverage current and new system functionality and apply these capabilities to improve current business processes (systems such as Snowflake, Alteryx, Tableau, RPA Tools, etc.).
- Evaluate and resolve issues and errors found within systems, maintaining the credibility and integrity of the data.
- Design and maintain critical reports used across a multitude of areas within company.
- Responsible for breaking down complex datasets and providing detailed analysis in consumable ways to aid discussions with department leaders.
- Collaborate with others in a team setting, either directly or indirectly
- Work across many different enterprise systems / processes while maintaining company confidential information standards
Qualifications
- Bachelor's Degree in Data Analytics, Data Science, Computer Science, Finance, or General Business
- 4-8 years of experience in data analytics, data architecture, data engineering preferred.
- Banking industry experience a plus.
- Ability to maintain strict confidentiality
- Strong logic-based skills (math, reasoning, analytical, decision-making).
- Ability to formulate & execute basic to complex mathematical formulas to perform analysis that supports process efficiency.
- Proficiency in Excel, Power BI, Salesforce and other analytical tools
- Higher level Tableau / SQL / Alteryx / Snowflake experience is a plus
Benefits:
- Medical, Dental, Vision and Life Insurance
- 401(k) with a company match
- PTO & 11 1/2 Paid Holidays
The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities and skills required for the position.
Equal Opportunity Employer/Veterans/Disabled
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