Senior Strategy & Analytics Consultant OR Lead Strategy & Analytics Consultant

Duke Energy Corporation•Carapichaima, SC

1d•Remote

About The Position

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 discovering business narratives told by the data and presenting them to business stakeholders and Supply Chain leaders by performing data exploration and data mining, developing and testing heuristics, creating and running analytical models, and communicating results and conclusions in both written and oral presentation formats. They will also create business intelligence, dashboards, visualizations, and/or other advanced analytics reports to adequately tell the business narrative and offer recommendations that are practiced, actionable, and have material impact, in addition to being well-supported by analytical models and data. This role involves identifying unique opportunities to collect new data, designing new processes, building large, complex data sets, strategizing new uses for data and its interaction with data design, locating new data sources, analyzing statistics, implementing quality procedures, performing data studies of new and diverse data sources, finding new uses for existing data sources, conducting statistical modeling and experiment design, testing and validating predictive models, building web prototypes, performing data visualization, conducting scalable data research on and off the cloud, implementing automated processes for efficiently producing scale models, designing, modifying and building new data processes, generating algorithms, creating computer models, collaborating with database engineers and other scientists, implementing new or enhanced software designed to access and handle data more efficiently, and training the data services center team on new or updated procedures.

Requirements

Bachelor's Degree in Computer Science, Engineering, Mathematics, Physics, Statistics, Economics, OR Business AND 5 years related work experience
In lieu of Bachelor's degree(s) AND 5 year(s) related work experience listed above, High School/GED AND 9 year(s) related work experience
Master's Degree AND 5 years related work experience
In lieu of Master's degree(s) AND 5 year(s) related work experience listed above, High School/GED AND 12 year(s) related work experience

Nice To Haves

Strong intellectual curiosity and affinity for numbers
Excellent verbal and written communication skills as well as the ability to bridge the gap between data science and business management
Experience writing queries and developing data visualization tools for mining and synthesizing large datasets (e.g. Python, SQL, SAS, R, Power BI, etc.)
Demonstrated problem solving, decision making and attention to detail skills
Working knowledge of statistics, programming and predictive modeling.
Previous experience working in data mining or natural language processing.
Experience in leading change management and affecting positive organizational, process or culture change
Strong understanding of and ability to use programming languages (e.g. Python, SQL, SAS, R, Power BI, etc.)
Demonstrated leadership skills
Previous experience in supply chain strategy and/or analytics groups
Strong organizational and prioritization skills and ability to multitask in a fast-paced environment
Strong critical thinking skills and the ability to relate them to the products or services the company is producing.
Strong knowledge of basic and advanced prediction models.
Data mining knowledge that spans a range of disciplines.
Strong exploratory analysis skills.
Exceptional organizational skills and is detail oriented.
Mastery of statistics, machine learning, algorithms and advanced mathematics.

Responsibilities

Extract key observations and insights from internal and external data sources to support decision-making
Data exploration, cleansing, validation and testing in order to optimize processes and discover value
Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality value-adding analytics solutions
Deliver effective presentations of findings and recommendations to multiple levels of stakeholders, creating visual displays of quantitative information
Support in the development and maintenance of automated applications, tools and processes