Wintrust is a financial holding company with approximately $50 billion assets under management and traded on the NASDAQ:WTFC. Built on the "HAVE IT ALL" model, Wintrust offers sophisticated technology and resources of a large bank while focusing on providing service-based community banking to each and every customer. Wintrust operates fifteen community bank subsidiaries with over 170 banking locations in the greater Chicago and southern Wisconsin market areas. Additionally, Wintrust operates various non-bank business units including commercial and life insurance premium financing, short-term accounts receivable financing, out-sourced administrative services, mortgage origination and purchase, wealth management services and qualified intermediary services for tax-deferred exchanges.
Why join us?
An award-winning culture! We are rated a Top Workplace by the Chicago Tribune (past 8 years) and Employee Recommended award by the Globe & Mail (past 6 years)
Competitive pay and discretionary bonus eligible
Comprehensive benefit package including medical, dental, vision, life, a 401k plan with a generous company match and tuition reimbursement to name a few
Promote from within culture
Why join this team?
We hold ourselves accountable to high standards, share wins, operate ethically, and have fun
This role offers the ability to make an impact and interface with all of IT and the various aspects of Wintrust's business
This is a role where you will learn about our business yet provide insights to influence decision making
We stress the importance of team work and learning from each other so that the team exceeds business expectations
The Advanced Data Analyst is responsible for working with both structured and unstructured data sets to provide business insights and recommendations to improve the quality of the Wintrust data leveraging industry standard analytical approaches and technologies. Successful candidate should be to able work in a team environment mentoring other team members and providing guidance to them.
Gather, structure, and analyze data from multiple complex data sources into actionable business insights using industry standard analytical tools and technologies.
Performs Adhoc analytical requests on complex database systems using statistical and regression analysis concepts and resolves data related issues.
Partners with the business to identify the appropriate data sources and analysis methodology to meet business needs and decision making driven by data analysis
Collaborates with a team of data architects, data engineers for gathering, structuring, and analyzing data to support organizational needs and support the development and automation of standard data analysis.
Presents the results of the data analysis, as well as recommendations, to management and process owners.
Identifies hidden use cases from complex unstructured datasets and come up with useful insights.
Influences key decisions through data analysis and offers recommendations to senior leadership teams.
Creates enterprise data sets for advanced analytics for data scientist team members
Seeks opportunities to deliver continuous process improvement, automating manual processes and optimizing data delivery.
Serves as resource to internal and third party team members on escalated issues and analyzing and designing specifications for less experienced team members.
Coaches and guides less experienced analytical professional in statistical concepts, principles and tools.
Pursues self-development and effective relationships with others by sharing information and knowledge with coworkers and business areas.
Performs other duties as assigned related to data analytics.
Bachelor's degree with 5+ years' experience in Computer Science, Engineering, Statistics, Mathematics, or other quantitative field.
3+ years' experience in programming and data analysis with a concentration in data science, or related field.
At least 4 years of experience in a data analyst role or similar where strong analytical and problem solving skills were required
3+ years working experience with statistical applications, such as SQL or SAS
At least 2 years of experience working with large data sets and complex databases
Strong understanding of database and data warehouse concepts and structures.
Strong quantitative skills with a proven ability to translate analysis into meaningful insights.
Experience in working with Traditional and Distributed ecosystems.
Has experience working with Data Warehouse, Data Governance, MDM and BI systems.
Proficient in Power BI and MS Office products (Excel, Word, PowerPoint including Pivot, Graph and Slicer techniques).
Excellent organizational skills in defining and approach with strong written and oral communication skills with the ability to communicate complex concepts in a meaningful actionable manner across a wide range of audiences
Demonstrated experience utilizing unstructured and structured data to identify hidden patterns and meanings and communicate the results into a cohesive and constructive action plan
Experience with predictive modeling (classification, regression, parameter tuning, optimization criteria, feature selection) is desired.
Experience working on Banking and Financial domain is preferred.
Experience working on large multifaceted analytical assignments requiring demonstrated use of creative problem solving skills and initiative
Passionate about learning new technologies and solving hard problems in a fast-paced environment.
Proven ability to work within a team environment and interacting with data professionals and business data SME's throughout the organization
Proven record of accomplishment of meeting commitments with the highest standards of ethics and integrity.
From our first day in business, Wintrust has been proud to serve a variety of unique communities and people from all walks of life. To be Chicago's Bank® and Wisconsin's Bank®, we need to reflect that diversity both in all the communities we serve, the people we employ, the organizations we work with, and our banking and lending practices. Wintrust Financial Corporation, including community banking and financial services subsidiaries, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, disability, or status as a covered veteran or any other characteristic protected by law.