Role Description
The Strategy & Analytics Consultant will be responsible for supporting each of our Supply Chain Groups in meeting their analytical, decision-making, reporting, and metrics requirements. The successful candidate will serve as an expert in translating complex data into value-adding business insights and actionable findings. This work involves:
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Performing data exploration and data mining
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Developing and testing heuristics
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Creating and running analytical models
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Communicating results and conclusions in both written and oral presentation formats
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Creating business intelligence, dashboards, visualizations, and/or other advanced analytics reports
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Identifying unique opportunities to collect new data
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Designing new processes and building large, complex data sets
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Strategizing new uses for data and its interaction with data design
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Locating new data sources, analyzing statistics, and implementing quality procedures
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Performing data studies of new and diverse data sources
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Finding new uses for existing data sources
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Conducting statistical modeling and experiment design
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Testing and validating predictive models
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Building web prototypes and performing data visualization
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Conducting scalable data research on and off the cloud
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Implementing automated processes for efficiently producing scale models
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Designing, modifying, and building new data processes
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Generating algorithms and creating computer models
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Collaborating with database engineers and other scientists
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Implementing new or enhanced software designed to access and handle data more efficiently
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Training the data services center team on new or updated procedures
Qualifications
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Bachelor's Degree in Computer Science, Engineering, Mathematics, Physics, Statistics, Economics, OR Business
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5 years related work experience
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In lieu of Bachelor's degree(s) AND 5 year(s) related work experience, High School/GED AND 9 year(s) related work experience
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Master's Degree (for Lead Strategy & Analytics Consultant)
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5 years related work experience (for Lead Strategy & Analytics Consultant)
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In lieu of Master's degree(s) AND 5 year(s) related work experience, High School/GED AND 12 year(s) related work experience
Requirements
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Strong intellectual curiosity and affinity for numbers
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Excellent verbal and written communication skills
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Experience writing queries and developing data visualization tools (e.g. Python, SQL, SAS, R, Power BI, etc.)
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Demonstrated problem solving, decision making, and attention to detail skills
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Working knowledge of statistics, programming, and predictive modeling
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Previous experience working in data mining or natural language processing
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Experience in leading change management and affecting positive organizational change
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Strong organizational and prioritization skills
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Strong critical thinking skills
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Strong knowledge of basic and advanced prediction models
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Data mining knowledge that spans a range of disciplines
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Exceptional organizational skills and detail-oriented
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Mastery of statistics, machine learning, algorithms, and advanced mathematics
Benefits
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Friendly work environment
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Opportunities for growth and development
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Recognition for your work
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Competitive pay and benefits
Working Conditions
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Virtual Mobility Classification - Work will be performed from a remote location after the onboarding period
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Must live within a reasonable commute to a Duke Energy facility