Translating business requirements into analytical constructs and using data to propose solutions for effective decision making at the company
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-Sharp, 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)
- 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
Responsibilities
- 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
Other
- 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
- 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
- Strong written and verbal communication skills
- Utility/energy or customer-oriented industry experience
- Self-starter and quick learner; advances self and others' knowledge and skill sets in business processes, data science, new analytical frameworks, technologies, and applications
