Design and develop analytic solutions for strategic and tactical service activities
Deliver insights through dashboards, visuals, and graphical displays in self-service formats
Translate customer needs and use cases into analytic solutions with minimal supervision
Analyze large and complex datasets related to supply chain and operations
Identify, source, and integrate data from disparate systems
Apply statistical models and algorithms to generate insights that influence business decisions
Detect deviations in process or system performance and apply appropriate analytical techniques
Communicate analytical methods and outputs effectively to stakeholders
Support specific supply chain functions including Planning, Fulfilment, Procurement, and Finance
Work within AGILE delivery lifecycle and collaborate with cross-functional teams

Bachelor’s degree in Computer Science, Statistics, Engineering, Economics, Business, Applied Mathematics, or a related field
Minimum of 4 years of professional experience in Supply Chain and/or Operations analytics
Basic professional certification in analytics tools (e.g., SAS, R)
Proficiency in SQL and experience with relational and/or non-relational database design
Familiarity with AGILE methodology and analytics delivery lifecycle
Must possess IT-II Non-Critical Sensitive security clearance or Tier 3 (T3) at time of proposal submission

Comprehensive Medical, Dental, and Visions Plans (Healthcare benefits are 100% employer-paid for employees only)
Life Insurance
Paid Time Off (Flexible/Combined PTO, Bereavement Leave, 11 Company Paid Holidays)
401K Retirement Plan with employer match
Professional Development Training Reimbursement
Flexible/remote work schedule

Mid-Level Analytics Specialist

Key skills