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Data Analytics Manager Sr in Jacksonville, FL at SNI Technology

Date Posted: 6/7/2018

Job Snapshot

Job Description

Our client in Jacksonville, FL is looking for a Data Analytics Sr. Manager to support their corporate and distribution functions including Human Resource, Finance, Warehousing and Transportation. The manager will report to the CFO and will play a key role in our client's data management.
Key Responsibilities

  • Works closely with entity and/or department stakeholders/colleagues on various projects and/or initiatives.
  • Document existing business data and determine how to improve existing business processes.
  • Consults with managers to understand business requirements and identify opportunities to improve reporting and processes.
  • Provide leadership and functional expertise to subordinate data analysts.
  • Provide expert data analysis, report writing/reporting and quantified decision analysis support.
  • Liaise with IT, Analytics and other corporate departments on matters of data integrity, reporting and analysis.
  • Thought leadership and project management responsibility on the selection and implementation of client's BI tool.

Job Requirements

  • Demonstrated Project Management experience.
  • 4 to 5 years' experience in a data intensive role, preferably in a retail or distribution environment
  • Two or more years managing data analysts
  • Experience and comfort with statistical modeling packages (advanced skills in ERP and / or SAS programming preferred), comfort with large datasets
  • Expertise working in Microsoft Office tools (Excel, Access, Word, and PowerPoint).
  • Experience analyzing warehouse operations and/or transportation data is not required by highly valued.
  • Must be able to able to draw conclusions from data and effectively communicate recommendations to operators as well as executives.


  • Excellent SQL skills
  • Data and Decision Analysis
  • Tableau, Power BI or other BI tool
  • Project Management skills are required.
  • Microsoft Dynamics ERP system is a plus


  • Bachelor's degree in Economics, Information Systems, Mathematics, Statistics, Business or equivalent. Advanced degree is a plus.


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