Supply Chain Data Analyst (SQL, Python, Pandas, NumPy)

Prolim; United States; Remote; USD 70,000 - 110,000; Full time

Job summary

A leading tech company is seeking a Supply Chain Data Analyst to work remotely. The role involves collecting and analyzing supply chain data, developing data pipelines, and creating user-friendly dashboards for performance tracking. The ideal candidate will have a strong background in data analysis, with proficiency in SQL and Python, and a relevant Bachelor's degree. Join a dynamic team focused on innovative automation projects that impact supply chain operations significantly.

Qualifications

• Minimum of 3 years of experience in forecasting and supply chain optimization.
• Proficiency in SQL and Python, with experience in pandas and NumPy.
• Strong analytical skills and ability to interpret complex data.

Responsibilities

• Collect, analyze and interpret supply chain data to provide insights.
• Develop data pipelines using SQL and Python.
• Create databases and dashboards to track key performance indicators.

Skills

SQL

Python

Data Analysis

Problem Solving

Communication

Education

Bachelor's degree in Supply Chain Management, Operations Research, Mathematics, or Computer Science

Tools

Pandas

NumPy

Tableau

Power BI

SAP

Oracle

Job description

Supply Chain Data Analyst (SQL, Python, Pandas, NumPy)

Pay Competitive

Location Remote

Employment type Full-Time

Job Description

Req#: JPC 9034139 Employer Industry: Supply Chain Management

Why consider this job opportunity:
- Opportunity for career advancement and growth within a leading tech company
- Work remotely from anywhere in California
- Collaborate with cross-functional teams to make a significant impact on supply chain operations
- Engage in innovative automation projects with top-tier engineers and designers
- Develop and implement data visualization tools that communicate complex insights to stakeholders

What to Expect (Job Responsibilities):
- Collect, analyze, and interpret data related to supply chain operations to provide actionable insights
- Develop and maintain data pipelines for extracting, transforming, and loading data using SQL and Python
- Create and manage databases, dashboards, and reports to track key performance indicators (KPIs)
- Identify trends and anomalies in data to recommend process improvements
- Foster strong internal relationships with various teams to develop data-driven solutions

What is Required (Qualifications):
- Bachelor's degree in Supply Chain Management, Operations Research, Mathematics, Computer Science, or a related field
- Minimum of 3 years of experience in forecasting, inventory planning, and supply chain optimization
- Proficiency in SQL and Python, with strong experience in pandas, NumPy, and other Python libraries
- Excellent analytical and problem-solving skills, with the ability to interpret complex data
- Strong communication and collaboration skills, able to work in a fast-paced environment

How to Stand Out (Preferred Qualifications):
- Familiarity with supply chain management software, such as SAP or Oracle
- Experience with ERP or supply chain system implementation
- Knowledge of data visualization tools, such as Tableau or Power BI
- Certification in supply chain management, such as APICS or ISM
- Experience with statistical analysis and modeling techniques

#SupplyChain #DataAnalysis #RemoteWork #CareerGrowth #TechIndustry

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About the company

PROLIM is a global company focused on product innovation by leveraging IT and PLM Technologies. PROLIM has more than a decade of PLM Service history – serving Automotive, Aerospace, High Tech and Industrial Machinery companies throughout the world.

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