Data Analyst – Mid-Level

Title

Data Analyst

Remote

6+ Months Contract

The Data Analyst Mid‑Level will participate in diverse and challenging projects across the end‑to‑end supply chain that combine operations research, optimization and simulation. The Analysts will identify efficiency opportunities, provide analytical expertise, and support data‑driven decision making throughout the logistics organization. They will tackle sophisticated problems through model building, scenario planning and business case development in partnership with key stakeholders. Responsibilities include providing creative and structured analysis to identify performance improvement opportunities and the ability to communicate findings clearly across the organization.

• Partner closely with logistics teams to help support daily operational execution of projects and initiatives that can be solved using big‑data technologies
• Create complex SQL queries to extract large datasets from our internal Snowflake Data Mart and Data Lake
• Design and develop logistics dashboards using visualization tools such as Power BI, Tableau, and IBM Cognos
• Maintain in‑depth knowledge of existing logistics footprint, inclusive of facilities, carriers and product flow
• Lead and deliver strategic business initiative assessments through planning, strategy development, modeling and scenario planning structured using in‑depth data analysis
• Review and validate data, build and validate models, run scenarios and assist in business case preparation
• Determine, track, and contextualize benefits realization and initiative performance

• 3+ years of experience supply chain planning and design;
  Knowledge of the principles of data management, database querying and query optimization, and data visualization principles
• Bachelor’s Degree or advanced degree (preferred) in Data Analytics, Statistics, Industrial Engineering, Business, or Finance
• Technology tools expertise (SQL, Power BI, Access, Tableau, IBM Cognos, Excel)
• Experience in supply chain, operations, analytics, finance or related field a plus
• Advanced analytical skills, including complex data, network modeling and principles of optimization (network optimization, inventory optimization, product flow analysis, operations planning)