Data Analyst, Blue Yonder WMS Systems - Remote

Job description

Joining the employer team means unlocking your full potential in logistics. With a positive work environment, you'll thrive and have the support to excel and build a rewarding career. We offer competitive compensation and a generous benefits package including full health insurance, 401(k), and more.

What You'll Do

  • Gather and analyze data using statistical techniques and advanced analytics tools
  • Develop and implement data analytics solutions to support business needs
  • Identify trends, patterns, and relationships in complex data sets
  • Collaborate with customers and executive leadership to prioritize business and information needs
  • Create solutions to manage data interpretation and relationship identification across multiple sources

What You Need To Succeed

  • Bachelor's degree or equivalent related work or military experience
  • 2-3 years of technical experience with data models, database design development, and data mining
  • Solid knowledge of business intelligence tools such as Tableau, Oracle BI, and Power BI
  • Proficiency in programming languages like R and Python
  • Familiarity with statistics and statistical packages for data analysis

Preferred Qualifications

  • Strong research skills with attention to detail and accuracy
  • Proficiency in queries, report writing, and presenting findings
  • Understanding of machine learning, data mining, and algorithmic program development
  • Experience with Warehouse Management Systems like Blue Yonder

About The Employer

The employer is a global leader in supply chain solutions, helping the world's most successful companies manage their goods efficiently. With a talented team of innovative individuals, we engineer faster, smarter, and leaner supply chains.

Additional Information

  • The employer is an Equal Opportunity/Affirmative Action employer.
  • Compliance with CDC, OSHA, and COVID safety requirements is expected.
  • Pre-employment drug testing may be required.
  • All employees may be assigned duties outside of their normal responsibilities as needed.

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