Senior Supply Chain Data Scientist & Analytics Innovator

Parker Hannifin; Mayfield Heights (OH); On-site; USD 90,000 - 140,000; Full time

Job summary

Parker Hannifin is seeking a Supply Chain Data Science Specialist to leverage data science methods for enterprise analytics and decision support. You will design, implement and monitor data-driven insights across corporate supply chain functions, regions and products.

Qualified candidates will have 3+ years in a relevant business function, a solid background in analytics, and experience with Python, SQL, Power BI, and Azure data tools.

Qualifications

• 3+ years of experience in the business function the role supports (e.g., Supply Chain, Pricing, HR, Finance).
• Bachelor's Degree in business, Marketing, Accounting, Engineering, Supply Chain, Statistics, Economics or related field.
• Skilled in problem solving and data mining in a business setting.
• Experience applying advanced analytics and data mining to drive business results.
• Experience with data wrangling and large datasets of varying quality.
• Experience with Statistical Software, Python for Data Analysis, SQL, Power BI, Azure Data Warehouse, Azure Databricks and Alteryx.

Responsibilities

• Hypothesize, ideate and implement advanced analytics for operational improvement.
• Perform descriptive, diagnostic, predictive and prescriptive analyses.
• Monitor and adapt models to changing business needs.
• Expand and support a growing analytics community across the organization.
• Create and maintain analysis of key enterprise datasets and Enterprise KPIs.
• Communicate findings to various levels of the organization.

Skills

Problem solving

Data mining

Statistical analysis

Analytics experience

Modeling experience

Education

Bachelor's degree in business/related field

Tools

Python for Data Analysis

SQL

Power BI

Azure Data Warehouse

Azure Databricks

Alteryx

Job description

Parker Hannifin is seeking a Supply Chain Data Science Specialist to leverage data science methods for enterprise analytics and decision support. You will design, implement and monitor data-driven insights across corporate supply chain functions, regions and products.

Qualified candidates will have 3+ years in a relevant business function, a solid background in analytics, and experience with Python, SQL, Power BI, and Azure data tools.