Sr Data Analyst - Supply Chain - Network Strategy

Req152132

Position Purpose

A Sr Data Analyst Supply Chain leverages proven technical abilities to synthesize complex analytical tasks into easily understood data-driven stories. Responsible for working collaboratively among other talented analysts to apply established and create new analytical processes on diverse datasets to deduce insights and solve real-world business problems. Also ensures that all reporting and analytical responsibilities are completed competently in a timely manner, continually seeks out opportunities to learn new and hone existing technical skills (e.g. writing SQL/code, statistics, machine learning, etc.) and operates under minimal supervision and mentorship of more experienced managers and data scientists.

The Network Strategy team provides long-range capability modeling to help advise our leaders on major investments decisions (e.g. real estate, automation, major software initiatives, etc..). One of our major deliverables is the annual 'refresh', which is a large optimization model for each distribution platform.

Key Responsibilities

• 30% Leverages data analytics tools to create new dashboards, reports, and any additional ad-hoc requests
• 20% Executes existing large optimization models
• 20% Ensures the quality of work output by researching available data on current operations, capacity, and cost
• 20% Presents findings in easily understood ways, focuses on how the data analytics fits into the bigger picture
• 10% Develops additional technical competencies by working closely with a peer Data Science team
  
  

Direct Manager/Direct Reports

• This position reports to Manager or Sr Manager
• This position has no Direct Reports
  
  

Travel Requirements

• Typically requires overnight travel less than 10% of the time.
  
  

Physical Requirements

• Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
  
  

Working Conditions

• Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
  
  

Minimum Qualifications

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.
  
  

Preferred Qualifications

• 2-4 years work experience in Supply Chain analytics, operations research, data mining, statistical analysis, auditing, and/or forecasting.
• Prior direct experience in analyzing the relevant subject matter (e.g. Supply Chain, Merchandising, Operations, etc.).
• B.S. in Operations Research, Supply Chain, Computer Science, Math, Engineering, Finance, or related quantitative field.
• Work experience with SQL, Big Query, Python, Tableau, MS Excel, SQL Server, or comparable database systems.
• A basic understanding of large optimization models.
  
  

Minimum Education

• The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
  
  

Preferred Education

• No additional education
  
  

Minimum Years Of Work Experience

• 2
  
  

Preferred Years Of Work Experience

• No additional years of experience
  
  

Minimum Leadership Experience

• None
  
  

Preferred Leadership Experience

• None
  
  

Certifications

• None
  
  

Competencies

• Critical thinking skills to identify the strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problems solving.
• An unquenchable intellectual curiosity for getting at the underlying story being told within the data.
• Strong written and verbal communications skills. Ability to persuade, inform, and influence others based on findings. A track record of taking complex results and communicating them in an easily understood way.
• Superior interpersonal skills and ability to collaborate actively and work in a team environment.
• Ability to quickly learn and adapt to new technologies, tools, and techniques.