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Omnichannel (Omni) Analytics Insights Analyst in Columbus at Huntington

Date Posted: 3/15/2019

Job Snapshot

Job Description

We are transforming the way we do business by changing how we think about the different types of Customer Journeys. Omnichannel will provide a consistent experience for our customers, regardless of how they chose to do business with us (online banking, branch locations, ATM's, phone support). The goal of Omnichannel is to align our people, processes, products & services, and technology across our enterprise to deliver new modern capabilities in an Agile and Iterative way.

Huntington is seeking an Insights Analyst to join the Data & Analytics Organization and will primarily support the Omnichannel and Digital teams. This individual will participate in all phases of the data and analytics lifecycle. Analyzing patterns and trends in structured and unstructured data that spans across all facets of the Enterprise. Synthesize findings into presentations that convey insights and recommendations through storytelling, while maintaining a balance between the big picture and mastery of details.

  • Apply visualization techniques to internal and external data sources to make accurate and actionable analyses in a timely fashion
  • Create self-service dashboards for internal business partners to learn, understand, have access to, and derive insights from data, metrics, and KPIs
  • Be a partner in the building of KPIs and metrics that help to gauge the health and success of our digital and Omni assets and initiatives
  • Ability to document, dashboard, or process function lineage through the form of job aids and/or guides
  • Execute on analytics projects in response to business needs
  • Apply automation techniques to manual processes to create efficiency, improve accuracy, and build upon successes that create a suite of self-service assets
  • 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:

  • Master's degree in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degree or in lieu of Master's Degree, Bachelor's degree with a minimum of three (3) years work experience in visualization/dashboarding or analytics, data process automation

Preferred Qualifications:

  • Experience with programming languages such as Python, Java, or C++ in a data mining context, and experience building web-based applications using HTML, CSS, Perl, and JavaScript.
  • Direct experience with SQL programming and large database applications such as Oracle, DB2, SQL Server, SPSS, Teradata, and Hadoop
  • Experience developing and applying statistical or machine learning methods in a corporate environment through applications such as R, Python, or SAS
  • Strong experience with business intelligence and data mining tools such as BusinessObjects, MicroStrategy, Tableau and Tableau Server, Alteryx, or SAS Enterprise Guide/Miner
  • Excellent written and verbal communication skills with a proven ability to interact effectively across all organizational levels
  • Creative 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
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.