
Electric power holding company
Senior Strategy & Analytics Consultant OR Lead Strategy & Analytics Consultant at Duke Energy
About the role
Important Application Submission Information
In order to ensure your application is successfully received before the job posting expires, please submit your application by 11:59 PM on Monday, May 18, 2026
More than a career - a chance to make a difference in people's lives.
Build an exciting, rewarding career with us – help us make a difference for millions of people every day. Consider joining the Duke Energy team, where you'll find a friendly work environment, opportunities for growth and development, recognition for your work, and competitive pay and benefits.
Depending upon the desired qualifications of the successful applicant, the hiring manager may elect to fill this position at a higher level within the job hierarchy.This is a virtual position, however the candidate must live within a reasonable commute to a Duke Energy facility.
Position Summary
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:
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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 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.
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Identify unique opportunities to collect new data.
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Design new processes and build large, complex data sets.
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Strategize new uses for data and its interaction with data design.
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Locate new data sources, analyze statistics and implement quality procedures.
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Perform data studies of new and diverse data sources.
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Find new uses for existing data sources.
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Conduct statistical modeling and experiment design.
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Test and validate predictive models.
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Build web prototypes and performs data visualization.
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Conduct scalable data research on and off the cloud.
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Implement automated processes for efficiently producing scale models.
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Design, modify and build new data processes.
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Generate algorithms and create computer models.
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Collaborate with database engineers and other scientists.
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Implement new or enhanced software designed to access and handle data more efficiently.
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Train the data services center team on new or updated procedures
Responsibilities
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Extract key observations and insights from internal and external data sources to support decision-making
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Data exploration, cleansing, validation and testing in order to optimize processes and discover value
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Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality value-adding analytics solutions
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Deliver effective presentations of findings and recommendations to multiple levels of stakeholders, creating visual displays of quantitative information
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Support in the development and maintenance of automated applications, tools and processes
Note: This posting is for one position. Dependent on relevant experience, the level to which a candidate is aligned is outlined below.
Required/Basic Qualifications (Senior Strategy & Analytics Consultant)
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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 listed above, High School/GED AND 9 year(s) related work experience
Required/Basic Qualifications (Lead Strategy & Analytics Consultant)
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Master's Degree
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5 years related work experience
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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
Preferred Qualifications
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Strong intellectual curiosity and affinity for numbers
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Excellent verbal and written communication skills as well as the ability to bridge the gap between data science and business management
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Experience writing queries and developing data visualization tools for mining and synthesizing large datasets (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, process or culture change
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Strong understanding of and ability to use programming languages (e.g. Python, SQL, SAS, R, Power BI, etc.)
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Demonstrated leadership skills
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Previous experience in supply chain strategy and/or analytics groups
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Strong organizational and prioritization skills and ability to multitask in a fast-paced environment
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Strong critical thinking skills and the ability to relate them to the products or services the company is producing.
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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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Strong exploratory analysis skills.
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Exceptional organizational skills and is detail oriented.
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Mastery of statistics, machine learning, algorithms and advanced mathematics.
Working Conditions
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Virtual Mobility Classification
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Work will be performed from a remote location after the onboarding period. However, virtual employees should live within a reasonable commute to a Duke Energy facility.
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Office Environment
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This is a virtual position, however the candidate must live within a reasonable commute to a Duke Energy facility.
Travel Requirements:
5-15%
Relocation Assistance Provided (as applicable)
No
Represented/Union Position
No
Visa Sponsored Position
No
Please note that in order to be considered for this position, you must possess all of the basic/required qualifications.
Required skills
Data analysis
Business intelligence
Data mining
Analytical modeling
Reporting
Stakeholder communication
Problem solving
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About Duke Energy

Duke Energy
PublicDuke Energy Corporation is an American electric power and natural gas holding company headquartered in Charlotte, North Carolina. The company serves over 7 million customers in the eastern United States.
10,001+
Employees
Charlotte
Headquarters
$59B
Valuation
Reviews
10 reviews
3.5
10 reviews
Work-life balance
2.8
Compensation
3.7
Culture
3.2
Career
2.3
Management
3.1
65%
Recommend to a friend
Pros
Good benefits and compensation
Supportive management
Collaborative environment and friendly coworkers
Cons
Heavy workload and high stress
Limited growth and advancement opportunities
Long hours during peak periods
Salary Ranges
12 data points
Mid/L4
Senior
Mid/L4 · DATA SCIENCE CONSULTANT
1 reports
$116,000
total per year
Base
$89,622
Stock
-
Bonus
-
$116,000
$116,000
Interview experience
1 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview process
1
Application Review
2
Recruiter Screen
3
Phone Interview
4
Onsite Interview
5
Final Decision
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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