Posted in Other 5 days ago.
Type: Full Time
Parker Hannifin's Enterprise Data & Analytics team is looking for a full-time Technical Resource Manager who is fluent with today's data science and mining methods and tools, with excellent communications skills, and who thrives on creatively solving complex problems. Successful candidates will be fluent in leading and managing teams utilizing 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 to the Enterprise Systems Manager, and as part of the Enterprise Data & Analytics team, this position supports all levels of management at corporate, groups and divisions, across multiple functional areas and countries.
Lead and manage a delivery team of data scientists focused on key enterprise projects and goals Support and deploy the A.I. and Analytics roadmap Collaborate and lead data science and data specialists throughout corporate and regional business functions Hypothesize, ideate and implement advanced analytics for operational improvement Create, maintain, advance and support analysis of key enterprise datasets Expand and support a growing analytics community throughout the organization Perform descriptive, diagnostics, predictive and prescriptive analysis Support organizational efforts to centralize and standardize data Utilize and implement best-in-class self-service tools and products 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 Monitor and adapt models to changing business needs 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 Conform with and contribute to enterprise analytics governance processes and policies
3+ years of experience managing and leading a technology delivery team 2+ years of experience in data science, data modeling, advanced analytics, data engineering Bachelor s Degree in Data Science, Computer Science, Statistics, Economics, Mathematics or like competency Skilled in data mining, feature engineering, machine learning and advanced statistical analysis in a business setting Proficient 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
Founded in 1917, Parker Hannifin Corporation is a $13 billion global company. Parker Hannifin is the world's leading diversified manufacturer of motion and control technologies and systems, providing precision-engineered solutions for a wide variety of mobile, industrial and aerospace markets. The company has operations in 50 countries around the world. Parker has increased its annual dividends paid to shareholders for 63 consecutive fiscal years, among the top five longest-running dividend-increase records in the S&P 500 index. Parker s engineering expertise and broad range of core technologies uniquely positions the company to solve some of the world s greatest engineering challenges. By partnering with customers, Parker improves their productivity and profitability and seeks new ways to solve humanity's biggest challenges.
Equal Employment Opportunity
Parker is an Equal Opportunity and Affirmative 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. U.S. Citizenship/Permanent Resident is required for most positions. ( 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 http://www.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf and http://www1.eeoc.gov/employers/upload/eeoc_gina_supplement.pdf