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Sr. Decision Analyst_

Columbus

Description

Summary:

Senior Decision Analysts are responsible for evaluating business operations using statistical and financial methods to ensure that testing, learning, and production goals are met. This position is also responsible for providing insights about our customers and prospects to drive business strategy and work collaboratively with our internal partners to develop innovative, data-driven growth strategies across the entire bank, including Consumer, Wealth, Auto and Home Lending, Payments, Small Business, and Business Banking.

Duties and Responsibilities:

+ Apply machine learning, data mining, and visualization techniques to internal and external data to make accurate and actionable analyses in a timely fashion.

+ Plan and execute multiple analytic projects at once in response to business needs.

+ Synthesize findings into senior level presentations that convey insights and recommendations through compelling storytelling, while maintaining a balance between the big picture and mastery of details.

+ Supplies the team with the insights & facts needed to drive strategy and innovation

+ Critical thinking skills to come up with the right questions to ask or problems that need to be solved for

+ Ability to make complex topics seem simple and layout clear options and recommendations for decision-makers​

+ The quantitative go-to within the group

+ May mentor less experienced colleagues as directed.

+ Performs other duties as assigned.

Basic Qualifications:

+ Bachelor's Degree with a preference for degrees in Finance, Economics, Decision Sciences, Statistics, Operations Research, Applied Mathematics, or Engineering.

+ 3+ years experience working in product analytics

+ 2+ years of experience working in data manipulation tools such as SAS, R, SQL, Business Objects, Tableau and/or other tools to query large databases and manipulate large data files.

+ Advance Excel and Powerpoint skills

Preferred Qualifications:

+ Advanced degree

+ Experience in Banking or Finance

+ Experience working with data mining models, structures, theories, principles, and practices, including machine learning, statistics and text mining techniques

+ Experience with at least one data mining / statistical analysis tools such as R, python, or SAS

+ Experience with business intelligence and data mining tools such as BusinessObjects, Microstrategy, Tableau, Qlickview, and SAS Enterprise Guide/Miner in a corporate or academic environment

+ Experience with SQL queries of large databases such as Oracle, DB2, SQL Server, Teradata, and Hadoop

+ Experience developing and applying statistical or machine learning methods in a corporate environment through applications such as R, python, SAS, SPSS, S, S-PLUS, or Stata

#LI-Hybrid

#LI-DK1

Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)

Yes

Workplace Type:

Hybrid

Huntington is an equal opportunity and affirmative action employer and is committed to providing equal employment opportunities for all regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, veteran status, gender identity and expression, genetic information, or any other basis protected by local, state, or federal law.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Agency Statement: Huntington does not accept solicitation from Third Party Recruiters for any position

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