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Decision Engine Analyst in Columbus at Huntington

Date Posted: 9/22/2018

Job Snapshot

Job Description

Decision Engine Analyst

Our Enterprise Analytics department is growing, and we're looking for an outstanding candidate to join our Decision Engine team. Huntington is building a next-generation decision engine for messaging to customers and prospects with one-to-one personalized marketing techniques. This team member will collaborate on the design, development, and implementation of an enterprise-wide decision engine. Starting with the current state, he or she will develop a strategy and the roadmap to improve Huntington's capabilities. They will partners with various segments (e.g., Deposits, Credit Card, Lending, Private Banking) to empower those segments to customize and optimize the sales process with the end result of making sales easier and more profitable for bankers and more relevant and better for customers.

Key Responsibilities

  • Collaborate with the Huntington sales team from the Consumer and Business Bank and the Private Bank to ensure that the decision engine supports them in their goals.
  • Create a strategy and roadmap for the necessary technology to enable personalized one-to-one marketing across all Huntington's sales channels and touchpoints. Execute on that strategy.
  • 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.
  • Champion corporate policies and procedures. Ensure compliance with legal and regulatory requirements. Work with management to develop and apply effective risk management processes and controls.

Basic Qualifications:

  • A Master's degree in Business, Economics, Decision Sciences, Statistics, Operations Research, Applied Mathematics or Engineering.
  • A minimum of 5 years of work experience in direct marketing, digital marketing, risk management or experimental design in either the financial services, retail, healthcare, telecommunications or entertainment industries.
  • A minimum of 3 years of experience with at least one data mining / statistical analysis tool (i.e. R, python, or SAS).
  • A minimum of 5 years of experience with Microsoft Word, PowerPoint, and Excel.

Preferred Qualifications:

  • Experience with decision engines in a retail context.
  • 3 years of 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.
  • Fluent in programming languages such as Python, Java, or C++ in a data mining context, and experience building web-based applications or dashboards using R, python, HTML, CSS, Perl, and JavaScript.
  • Excellent written and verbal communication skills with a proven ability to interact effectively across all organizational levels.
  • Progressive thinker and problem solver, with a strong ability to manage ambiguity/complexity.
  • Work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines.
  • Experience working in a consumer-centric company and with teams of technical professionals in a cross-functional environment.
  • Ability to embrace change, constructively negotiate constraints, and effectively leverage resources to create exceptional outcomes. Consistently model and inspire high levels of professional demeanor and integrity.

EEO/AA Employer/Minority/Female/Disability/Veteran/Sexual Orientation/Gender Identity Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Huntington does not accept solicitation from Third Party Recruiters for any position.
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