SAP Supply Chain Planning Analyst

MACHINE LEARNING TECHNOLOGIES LLC

Sunnyvale (CA)

On-site

USD 75,768 - 103,320

Full time

14 days+

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Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a SAP Supply Chain Planning Analyst in Sunnyvale, CA. The role focuses on bridging business needs with technical solutions in supply chain planning, requiring strong SAP and analytical skills.

The ideal candidate will have over 7 years of experience, with a thorough understanding of supply chain processes and the ability to communicate effectively with stakeholders. Join a fast-paced team and contribute to continuous improvement initiatives.

Qualifications

  • 7+ years of experience in a business system analyst role in supply chain or manufacturing domain.
  • Ability to work in the office daily.
  • Solid problem-solving skills.

Responsibilities

  • Collect pain points and use cases from supply chain operations.
  • Define business requirements and create project documents.
  • Facilitate UAT, user training, and change management.
  • Support supply chain planning with key metrics and analysis.

Skills

Understanding of end-to-end supply chain planning processes
SAP experience
Excellent communication skills
Stakeholder management skills
Problem-solving skills

Education

BA/BS in technical or supply chain relevant field

Tools

SAP
Planning software

Job description

Job Overview

Job ID: J52588

Job Title: SAP Supply Chain Planning Analyst

Location: Sunnyvale, CA

Duration: 22 Months + Extension

Hourly Rate: Depending on Experience (DOE)

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Job Description

This role will focus on understanding End to End Supply Chain planning processes to bridge business needs with technical solutions. The analyst will proactively work with various functions to identify business process gaps and improvement opportunities. The role includes close collaboration with the IT and Planning team to implement planning solutions, provide support training and deployment, and ensure effective rollout of new capabilities.

Key Responsibilities
  • Worked with supply chain operations and planning teams to understand and collect pain points and use cases.
  • Define comprehensive business requirements with key supply chain planning principles and make the business case for applications or features that support operations.
  • Identify and implement improvements in current workflows and processes to increase efficiency and visibility.
  • Partner with IT to enable new capabilities throughout project lifecycles and manage smaller enhancement projects as a business project manager.
  • Create project documents including Business Process Flow, User Requirement Documents, User Acceptance Test Cases, and training materials.
  • Facilitate UAT, user training, and change management.
  • Investigate and identify system issues and gaps; collaborate with IT and business users to resolve issues and implement resolutions.
  • Support supply chain planning and operations with key metrics and data analysis.
  • Work collaboratively and independently in a fast‑paced environment, juggling competing priorities and ambiguity.
Requirements
  • BA/BS in technical or supply chain relevant field.
  • 7+ years of experience in a business system analyst role in supply chain or manufacturing domain.
  • 8+ years SAP experience and ability to work in the office daily.
  • Strong understanding of end‑to‑end supply chain planning processes.
  • Proficiency in planning software implementation cycles and solid problem‑solving skills.
  • Excellent communication and stakeholder management skills.
Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.

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