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Supply Chain Analyst SAP
Job in
Austin, Travis County, Texas, 78716, USA
Listed on 2025-12-27
Listing for:
Highbrow LLC
Full Time
position Listed on 2025-12-27
Job specializations:
-
IT/Tech
Data Analyst
Job Description & How to Apply Below
Job Title :
- Supply Chain Analyst with SAP Experience
Employment Type
:
- W2
Duration :
- Long Term
Location :
- Austin, Texas (Onsite)
Job Description
We are seeking a skilled Supply Chain Analyst with previous experience in inventory optimization. The ideal candidate will be responsible for analyzing raw data, translating it into meaningful KPIs and generating actionable insights. The individual will work closely with a data engineer and data scientist to create actionable insights to optimize inventory across the network. Experience with SAP environments is a required.
Key Job Responsibilities – (2 + yrs experience)- Collaborate with clients to understand business challenges and develop data-driven solutions.
- Analyze large datasets to uncover trends, patterns, and actionable insights for strategic decision-making.
- Develop and implement statistical models, machine learning algorithms, and AI-driven solutions.
- Design interactive dashboards and visualizations to effectively communicate insights.
- Work closely with cross-functional teams, including business stakeholders, data engineers, and product managers.
- Utilize Python, R, and SQL for data analysis, modeling, and solution development.
- Continuously explore and apply new analytical techniques to enhance business outcomes.
- Prior experience in Supply Chain Management systems is a plus.
- Bachelor’s or Master’s degrees in engineering, Mathematics, Statistics, Computer Science, supply chain, industrial engineering, or a related field.
- Strong problem-solving and analytical skills.
- Entrepreneurial mindset with a strong sense of curiosity, proactiveness, and a self-starter.
- Passion for data-driven decision-making and a desire to learn.
- Experience with SAP ERP systems, including data extraction, analytics, and reporting.
- Understanding basic statistical modeling and data visualization.
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