Supply Chain Data Analyst
By Johnson Matthey At West Deptford, NJ, United States
Engage with internal teams to understand business requests, translate requirements into an analytical project approach, and support projects through completion
Collaborate with JM IT database administrators to manage the supply chain team’s Azure SQL databases
Bachelor’s degree in Supply Chain, Business, or related field; or equivalent work experience
2+ years’ experience within a Supply Chain or data analysis focused role
Excellent communication skills and the ability to interact at multiple business levels
Strong attention to detail and proven ability to manage multiple priorities
It Business Data/Analyst - Product Level Data, Supply Chain - Local Nj/Pa/Ny Candidate Needed
By EVERSANA At New Jersey, United States
Key skills - Business Analysis, Data Analysis, SQL, RDBMS, AZURE, Supply Chain, R&D
Experience with Business Analysis, Data Analysis, SQL, RDBMS, AZURE
Strong leadership and communication skills
Ability to manage multiple projects and schedules
Knowledge of agile methodology is a plus
No 3rd party candidates will be considered

Are you looking for an exciting opportunity to use your data science skills to make an impact on the supply chain industry? We are looking for a Supply Chain Data Scientist to join our team and help us develop innovative solutions to optimize our supply chain operations. You will have the chance to work with cutting-edge technologies and collaborate with a diverse team of experts to create data-driven insights that will drive our business forward. If you are passionate about data science and have the skills to make a difference, this is the job for you!

Overview:

A Supply Chain Data Scientist is responsible for analyzing data and developing insights to improve the efficiency and effectiveness of supply chain operations. They use data-driven techniques to identify trends, develop predictive models, and create actionable strategies to optimize supply chain performance.

Detailed Job Description:

A Supply Chain Data Scientist is responsible for leveraging data to identify trends, develop predictive models, and create actionable strategies to optimize supply chain performance. They will work closely with supply chain and operations teams to develop data-driven solutions to improve supply chain efficiency and effectiveness. Responsibilities include collecting and analyzing data, developing predictive models, and creating reports and presentations to communicate insights.

What is Supply Chain Data Scientist Job Skills Required?

• Strong analytical and problem-solving skills
• Knowledge of data analysis and statistical techniques
• Proficiency in programming languages such as Python, R, and SQL
• Ability to interpret and communicate data-driven insights
• Knowledge of supply chain operations and processes
• Ability to work independently and collaboratively

What is Supply Chain Data Scientist Job Qualifications?

• Bachelor’s degree in a related field such as computer science, mathematics, or engineering
• Experience in data analysis and predictive modeling
• Knowledge of supply chain operations and processes
• Proficiency in programming languages such as Python, R, and SQL

What is Supply Chain Data Scientist Job Knowledge?

• Knowledge of data analysis and statistical techniques
• Knowledge of supply chain operations and processes
• Knowledge of programming languages such as Python, R, and SQL
• Knowledge of data visualization tools such as Tableau and Power BI

What is Supply Chain Data Scientist Job Experience?

• Experience in data analysis and predictive modeling
• Experience in developing data-driven solutions to improve supply chain performance
• Experience in creating reports and presentations to communicate insights

What is Supply Chain Data Scientist Job Responsibilities?

• Collect and analyze data to identify trends and develop predictive models
• Develop data-driven solutions to improve supply chain performance
• Create reports and presentations to communicate insights
• Work closely with supply chain and operations teams to develop strategies to optimize supply chain performance
• Monitor supply chain performance and identify areas for improvement