· Supports analytics projects and collaborates with cross-functional stakeholders to complete end-to-end analyses that includes business requirements, data gathering, analysis, scale-able solutions deliverables, including visualizations and presentations
· Conducts advanced statistical analysis to determine trends and significant data relationships, and proactively recommends areas of improvement
· Develops complex data sets and predictive models to support key decisions to improve safety, employee engagement, operational and financial efficiency, product quality, and customer satisfaction
· Prepares and delivers insightful presentations and actionable recommendations. Educates others on complex analytical findings in basic terms and with storytelling and data visualization
· Identifies and evaluates technologies and provides strategic input to advance the organization’s analytics capabilities
· Implements new, industry-leading statistical, mathematical, machine learning or other methodologies for modeling or analyses
· Responsible for discovering insights from Big Data to help shape or meet specific business needs and goals
· Utilizes business expertise to translate goals into data-based deliverables, such as predictive models, pattern detection analysis or optimization algorithms
· Champions self-service reporting capability and use of business intelligence and statistical tools to advance the analytical capabilities of the organization and use of data to make data-driven decisions
· Develops data and analytical processes based Continuous Improvement learnings and practices, including process maps, documentation, and job aids
Qualifications
Minimum Education and Experience Requirements:
· Master’s degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Physics, Data Science, Industrial/Organizational Psychology and Econometrics, etc.) and 5 years of experience working in a data analytical or computer programming function
· Experience in quantitative analytics (e.g., data mining, regression analysis, hypothesis testing, A/B testing, machine learning modeling, including multivariate statistical analysis, natural language processing, unsupervised and supervised learning, deep learning, and predictive modeling, and model optimization in production)
· Intermediate- to advanced-level knowledge and skills in data modeling, data structure, and the application of complex SQL queries with data from multiple sources, including a Big Data platform (e.g., Hadoop, AWS, Azure)
· Proficient programming skills such as SQL, C/C++/C#, Java, R, Python, PHP, or SAS
· Have in-depth experience developing models in a Big Data cloud environment (Azure, AWS, GCP) and deploying and overseeing models running in production
· Adept at leveraging the Microsoft Azure platform and its AI and machine learning tools (Databricks, Data Factory, ML Studio, etc.)
· Intermediate-level skills and experience with data mining and statistical analysis using analytical packages / tools (e.g., R, SAS, SPSS, Stata, MATLAB, Minitab, etc.)
· Intermediate- to advanced-level skills and experience in articulating business questions, pulling data from relational databases (e.g., SAP Business Warehouse (BW), ORACLE, SQL SERVER) and using advanced excel and statistical tools (e.g., Minitab, Alteryx, Advanced Excel with VBA, R, SAS, SPSS, Stata, MATLAB, etc.), and determining the appropriate analytical approach to conduct in-depth analysis to support decision making
· Adept with multiple business intelligence tools and platforms (e.g., SAP Business Objects, Microsoft Power BI.)
Share resumes to [email protected]