About The Position

Responsible for creating and developing solutions for business problems using data mining and analytics. Leverages innovative analytical techniques to uncover patterns and trends in data. Utilizes data visualizations to implement and socialize actionable and implementable insights with business partners, including marketing, sales, and supply chain.

Requirements

  • Data science/Statistics background
  • Bachelor's or Master's in STEM fields - programs include Analytics, IT, Computer Science, Statistics, Math, Engineering
  • Proficiency in SQL, Python, R and Data Engineering
  • 5 + years experience minimum

Responsibilities

  • Partners with internal and external stakeholders to develop and manage data logistics, including data transfers, data structures, and business rules to enable project execution.
  • Oversees the utilization of data modeling/analysis techniques to mine systems and applications for knowledge and information that support the enhancement of business processes.
  • Builds, deploys, and maintains data support tools, metadata inventories and definitions for database file/table creation.
  • Deploys analytical solutions to business problems.
  • Reviews quality assurance/quality control data and project output for accuracy.
  • Presents findings to key internal and external stakeholders.
  • Communicates key findings and recommendations.
  • Creates compelling presentations that provide actionable insights and recommendations.
  • Manages multiple projects concurrently and prioritizes and monitors project timelines and scopes.
  • Identifies key barriers/core problems and applies problem solving skills in order to deal creatively with complex situations.
  • Troubleshoots and resolves complex problems.
  • Makes decisions under conditions of uncertainty, sometimes with incomplete information, that produce effective end results.
  • Independently performs assignments with instruction limited to the expected results.
  • Determines and develops an approach to solutions.
  • Receives technical guidance only on unusual or complex problems or issues.
  • May oversee the completion of projects and assignments, including planning, assigning, monitoring and reviewing progress and accuracy of work, evaluating results, etc.
  • Contributes to employees' professional development but does not have hiring or firing authority.
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