Supply Chain Data Science Specialist

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

Position Summary

The Supply Chain Data Science Specialist supports the Supply Chain function at the corporate level with their related experience in Supply Chain and an interest or experience in data science and mining methods and tools, to creatively solve complex problems. The Supply Chain Data Science Specialist performs data analytics, using data science methods to support, design and implement analytical data products used to enhance our customer and business user interactions and business decisions throughout the organization. This position reports directly to the Functional Vice President and indirectly to the Supply Chain Data Science Manager, supporting all levels of management at corporate, groups and divisions, across multiple functional areas and countries.

Essential Functions:

• Hypothesize, ideate and implement advanced analytics for operational improvement
• Perform descriptive, diagnostic, predictive and prescriptive analysis
• Monitor and adapt models to changing business needs
• Expand and support a growing analytics community throughout the organization
• Create, maintain, advance and support analysis of key enterprise datasets
• Deliver advanced insights around Enterprise KPIs
• Support organizational efforts to centralize and standardize data
• Utilize and implement best-in-class self-service tools and products
• Build and maintain predictive models for various key performance measures and or forecasts at the enterprise, group and division levels
• Communicate findings to various levels of the organization
• Identify and investigate trends that warrant deeper analysis and advise decision makers of implications and potential corrective actions
• Develop and manage data quality and normalization and attribution models and metrics needed to make multiple disparate data sources usable for data mining and other analytical uses
• Monitor and adapt models to changing business needs
• Define and provide input for experiment design and quantitative analysis within area of expertise
• Manage the integration of key external data sources into our enterprise data repositories for use by all analytics teams and report writers across the enterprise

Qualifications:

• 3+ years of experience in the business function the role supports (i.e., Supply Chain, Pricing, HR, Finance, etc.)
• Bachelor's Degree in the business function, Marketing, Accounting, Engineering, Supply Chain, Statistics, Economics, Applied Mathematics, Data Science or like competency
• Skilled in problem solving, data mining, statistical analysis in a business setting
• Experience with applying advanced analytics and data mining methods to drive business results
• Experience with data wrangling, working with large data sets of varying quality, structured & un-structured to solve business challenges
• Experience with Statistical Software, Python for Data Analysis, SQL, Power BI, Azure Data Warehouse, Azure Databricks and Alteryx.

Parker Hannifin

Parker Hannifin is a Fortune 250 global leader in motion and control technologies. For more than a century, we've enabled engineering breakthroughs that make energy cleaner, transportation safer, medical treatments more effective, and manufacturing more efficient.

With empowered team members in more than 40 countries, Parker serves customers across aerospace & defense, energy, HVAC & refrigeration, in-plant & industrial equipment, off-highway and transportation.

Our scale is global, but our purpose is personal. We enable breakthroughs that improve lives, strengthen communities and create a brighter future.

Our Purpose - Enabling Engineering Breakthroughs that Lead to a Better Tomorrow - comes to life through our people-first culture where teamwork drives performance, inclusion fuels innovation and growth is encouraged. This environment fosters collaboration and empowers team members from engineering and manufacturing to finance, supply chain, human resources, information technology and beyond.

By combining deep expertise with an entrepreneurial spirit, we help customers succeed in markets that demand performance, reliability, and sustainability.

As we look to the future, Parker is advancing initiatives in energy efficiency and sustainability while developing the next generation of talent and leaders to engineer a better tomorrow.

Equal Employment Opportunity

Additional Comments:

The essential functions have been provided as example of the type of work performed by employees assigned to this job classification. The company reserves the right to modify the work assignments and/or to make reasonable accommodations so that qualified employees can perform the essential functions. The job description is not intended to be an inclusive list of duties and responsibilities. It is intended to describe the general nature of the position.

Parker is an Equal Opportunity and Affinitive Action Employer. Parker is committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job related reasons regardless of race, ethnicity, color, religion, sex, sexual orientation, age, national origin, disability, gender identity, genetic information, veteran status, or any other status protected by law. However, U.S. Citizenship, Permanent Residency or other appropriate status is required for certain positions, in accord with U.S. import & export regulations. (Minority / Female / Disability / Veteran / VEVRAA Federal Contractor)

If you would like more information about Equal Employment Opportunity as an applicant under the law, please go to Employees & Job Applicants | U.S. Equal Employment Opportunity Commission