Analytics Consultant

Key Responsibilities

• Support the design, governance, and enhancement of Dynamic Fulfillment

data models, ensuring alignment with global standards and business needs.

• Perform hands-on activities including data sourcing, cleansing, profiling, and

validation to support the roll-out of global fulfillment analytics solutions and

dashboards.

• Build strong partnerships to understand fulfillment workflows and translate

operational needs into data product requirements.

• Recommend new Dynamic Fulfillment product features, evaluating tradeoffs

and facilitating alignment across global and regional teams.

• Contribute to fulfillment-focused data design decisions and sourcing strategies

that improve visibility and decision-making across the order-to-delivery process.

• Conduct risk and impact assessments, clearly communicating downstream

implications to impacted systems and stakeholders.

• Analyze fulfillment and logistics data journeys to identify redundancies,

accountability gaps, and decision-making friction points; summarize findings for

senior leaders.

• Own documentation and ongoing maintenance for Global Dynamic Fulfillment

Products.

• Collaborate with Data Management and Data Quality teams to ensure a robust

data quality monitoring framework tied to Dynamic Fulfillment standards.

• Participate in data governance activities with functional and regional

stakeholders to continuously improve fulfillment-related data quality.

What We Are Looking For

Required Qualifications

• Bachelor's degree required.

• 6–8 years of experience in master data, supply chain, operations, or a

multifunctional business environment.

• Strong understanding of fulfillment, customer service, and logistics

processes, including order management, shipments data, and service

performance analytics.

• Experience working with Deliver, Customer Service, and global process owners

across regions.

• Advanced SQL*Plus skills; strong Excel and PowerPoint proficiency.

• Excellent cross-functional collaboration, communication, and

change-management skills.

• Strong analytical mindset with proven problem-solving abilities.

• Knowledge of data modeling concepts (star schema, snowflake).

• Ability to challenge the status quo, influence partners, and drive improvements

to fulfillment processes.

• Ability to communicate effectively with both technical and business audiences.

• Curiosity and ability to rapidly learn new systems, technologies, and processes.

Desired Qualifications

• Master's or PhD in Information Systems, Supply Chain, Operations, Computer

Science, Data Engineering, or related fields.

• Experience with Microsoft Cloud, Azure, Databricks.

• Experience with Agile methodologies, especially as a Product Owner.