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SAP Supply Chain

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Highbrow LLC
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: SAP with Supply Chain

Job Title :

- SAP with Supply Chain

Employment Type

:

- W2

Duration :

- Long Term

Visa Type :

- Green Card and US Citizens only

Location :

- Austin, Texas (Onsite)

Note :

- Supply chain knowledge is a must + data science + rest of the requirement that was provided earlier holds good.

Job Description

Required skills and qualifications:

  • Bachelor’s or Master’s degrees in engineering, Mathematics, Statistics, Computer Science, philosophy 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.
  • Proficiency in Python, R, or SQL for data analysis and machine learning.
  • Understanding basic statistical modeling and data visualization.
  • Candidates must be authorized to work without sponsorship. Visa sponsorship is not available for this role.
  • The position is an Austin-based, onsite role.

Key Job Responsibilities – Job role 1 (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.
  • Understanding of Supply Chain business will be good
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