Associate Data Scientist (PMO Process Integration)

Job Summary

Collects, validates, transforms and cleanses data to derive insights using qualitative and quantitative statistical analysis and modeling.

Runs analytical experiments in a methodical manner and develops moderately complex models to forecast business performance metrics.

Works with other team members and / or business partners to identify, define and translate business requirements into analytical constructs.

Develops customized reports and dashboards and performs ad-hoc analyses.

Key Accountabilities

• Performs analyses (e.g., cost-benefit, invest-divest, forecasting, predictive, what-if, impact analysis, etc.) to help the company focus on key decisions to improve safety, employee engagement, operation efficiency, product quality, and customer satisfaction
• Develops, modifies, and automates reports; iteratively builds and prototypes dashboards to provide insights and meet analytical needs
• Develops and maintains analytical algorithms and models through understanding large sets of structured, semi-structured and unstructured data.
• Evaluates technologies, develops and optimizes algorithms and experiments and validates modeling results
• Interprets, documents, and successfully communicates analytic insights to stakeholders
• Performs data cleansing and blending processes to produce analytic data sets for use by a variety of downstream purposes
• Understands and documents business needs to formulate complete end-to-end analyses that include business requirements, data gathering, analysis, scaleable solutions, and presentations
• Works with other team members and business leaders to identify relevant data and develop prototypes and proof-of-concepts

Minimum Education & Experience Requirements

This is a multi-track base requirement job; education and experience requirements can be satisfied through one of the following options :

• Bachelors 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 one year of experience working in a data analytical or computer programming function;
• Masters 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.)

Other Qualifications

Preferred :

• Masters degree in Data Science
• Experience in quantitative analytics (e.g. data mining, regression analysis, hypothesis testing, predictive modeling techniques and model optimization)
• Familiarity with Continuous Improvement concepts and applications (e.g., six sigma, lean)
• Experience with SAP Business Intelligence Tools and SAP CRM, ISU and BW data
• Knowledgeable in data modeling, data structure, meta data and application of complex SQL queries with data from multiple sources
• Basic to intermediate level programming skills in SQL, C / C++ / C#, Java, Python, R, PHP, ASP, or SAS
• Experience in business intelligence tools (Microsoft PowerBI, Tableau, SAP Business Objects (BOB), etc.)
• Experience articulating business questions, pulling data from relational databases (e.g. SAP BW, ORACLE, SQL SERVER) and using advanced excel and statistical tools (e.

g., Minitab, Alteryx, Advanced Excel with VBA, R, Python, SAS, SPSS, Stata, MATLAB, etc.) to conduct in-depth analysis to support decision making

• Familiarity with a Big Data platform (Hadoop, AWS, Azure), including data extraction and connection to the platform for analytics
• Familiarity with Cloud environments
• Strong written, verbal, and interpersonal communication skills
• Utility or customer-oriented industry experience
7 days ago