Supply Chain Data Analytics Co-Op

Abiomed is looking for an emerging analyst/data scientist to help facilitate the global supply chain organization's capability development. The Supply Chain Data Analytics Specialist Co-Op will partner with functional leads/SMEs, business stakeholders, and IT to understand needs and opportunities, and translate them into analytics and reports that allow team to understand relationships and performance more deeply, forecast and sense changes, and monitor performance to plan.

The ideal candidate will have a passion for continuous improvement, standardizing processes and figuring out how to leverage big data and visualization tools to solve problems, evaluate hypothesis, and optimize supply chain performance and capabilities while adapting to changing and growing business needs.

They will achieve this through their familiarity with supply chain processes, deep data analytics subject matter expertise, and strong collaboration with operations, customer service, sales/marking, manufacturing, regional SC, and finance.

Job Responsibilities:

• Develop and advance supply chain analytics capabilities and outputs, as we work to shift to more proactive identification of opportunities and issues and elevating performance management and reporting needs of all levels of management.

• Support the monthly Global S&OP (PSI) process through data alignment, reporting, analytics, and scenario development. Serve as liaison between commercial, international/ROW, finance, and operations teams. Conduct review meetings to align various stakeholders and inputs.

• Proposes and implements processes that proactively alert the business to opportunities and risks within the organization's supply chain. Develop and report supporting KPIs.

• Product life cycle planning and inventory strategy development to meet customer needs, business requirements, and service level objectives. In addition, supports, monitors and maintains finished goods inventory levels and system integrity

• Develop business analytics that enable identification, prioritization, and justification of improvement programs that optimize supply chain performance.

• Monitor and ensure the integrity and accuracy for relevant master data maintained in SAP to support the demand and inventory forecasting and purchasing processes; Model database needs based on project requirements and maintain data dictionaries and documentation associated with these data models.

• Leverages data analytics tools to create new dashboards, reports, and any additional ad-hoc requests

• Analyze supply chain and operational data, and identify key trends, correlations, and improvement opportunities/plans (e.g. Inventory DIOH & optimization; Forecast Accuracy; Forecast Bias, order mgmt., service level, EE&O, and lead time improvement) Build and maintain methodology and tools for ongoing analysis.

• Create and deliver impactful presentations for mid-level and senior-level audiences