Job Summary

Responsible for translating business requirements into analytical constructs and using data to propose solutions for effective decision making. Collects, validates, transforms, and cleanses data, as well as performs quantitative analysis to derive insights. Runs analytical experiments in a methodical manner and regularly evaluates alternative models and techniques. Develops predictive models to forecast business performance metrics and provides recommendations for strategic decisions. Responsible for teaching others the tools, techniques and best practices in self-service reporting, data analysis and predictive analytics.

Key Accountabilities

Performs in-depth 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, operational efficiency, product quality, and customer satisfaction
Develops, modifies, and automates reports, builds and prototypes dashboards to provide insights, and provides analytical solutions
Responsible for discovering insights from Big Data to help shape or meet specific business needs and goals.
Develops and maintains analytical models through understanding data, evaluating technologies, optimizing algorithms, experimenting and validating models
Delivers effective presentations that tell compelling stories about analytical insights
Performs data cleansing and blending processes to produce analytic data sets for use by a variety of downstream purposes
Implements new statistical, mathematical, machine learning or other methodologies for modeling or analysis
Utilizes business knowledge to translate goals into data-based deliverables, such as predictive models, pattern detection analysis or optimization algorithms
Trains and enables self-service reporting capability and use of Business Intelligence tools for supported business unit(s)
Conducts research to identify relevant data for developing prototypes and proof-of-concepts
Collaborates with cross-functional stakeholders to understand business needs, formulate complete end-to-end analyses that includes business requirements, data gathering, analysis, scaleable solutions, and presentations

Minimum Education & Experience Requirements

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

Bachelor’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 3 years of experience working in a data analytical or computer programming function; or
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 1 year of experience working in a data analytical or computer programming function

Preferred

Other Qualifications

Master’s or PhD degree in Data Science
Experience in quantitative analytics (e.g. data mining, regression analysis, hypothesis testing, predictive modeling techniques, and model optimization)
Knowledge and intermediate-level skills in data modeling, data structure, and the application of complex SQL queries with data from multiple sources, including Big Data platform (e.g., Hadoop, AWS, Azure)
Familiarity with Cloud environments
Experience with SAP Business Intelligence tools and SAP CRM, ISU, and BW data
Familiarity with Continuous Improvement concepts and applications (e.g., six sigma, lan)
Strong written and verbal communication skills
Utility/energy or customer-oriented industry experience

Other Requirements

Intermediate-level experience with data mining and statistical analysis using analytical packages/tools (e.g., R, SAS, SPSS, Stata, MATLAB, Minitab, etc.)
Intermediate-level experience in 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
Intermediate-level proficiency in business intelligence tools (e.g., Microsoft PowerBI, Tableau, SAP, Business Objects (BOBJ), etc.)
Intermediate-level programming skills in SQL, C/C++/C#, PHP, Java, Python, R, ASP, or SAS
Understanding of applied research design and machine learning (e.g. multivariate statistical analysis, unsupervised and supervised learning, predictive modeling)
Self-starter and quick learner; advances self and others' knowledge and skill sets in business processes, data science, new analytical frameworks, technologies, and applications
Interpersonal, analytical and problem-solving skills, including ability to communicate technical information and complex data analytics to a non-technical audience

Additional Information

Incumbents may engage in all or some combination of the activities and accountabilities, and utilize a variety of the competencies cited in this description depending upon the organization and role to which they are assigned. This description is intended to describe the general nature and level of work performed by incumbents in this job. It is not intended as an all-inclusive list of accountabilities or responsibilities, nor is it intended to limit the rights of supervisors or management representatives to assign, direct and control the work of employees under their supervision.

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