Senior Analytics and Visualization Consultant - Digital & Marketing Analyti at Duke Energy Corporation

Charlotte, North Carolina, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Aug, 26

Salary

0.0

Posted On

23 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Power BI, SQL, DAX, Data Modeling, ETL, GitHub, Google Analytics 4, Google BigQuery, AWS, Sales Cloud, Data Engineering, Business Intelligence, Statistical Analysis, Data Visualization, Marketing Analytics

Industry

Utilities

Description

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 25, 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. Position Summary: The Marketing & Digital Analytics team requires a skilled Business Intelligence Engineer/ Data Engineer to enhance our analytics capabilities and data infrastructure. This role is critical for developing robust Power BI solutions that drive marketing insights and decision-making and maintaining and improving our Python-based data extraction processes, ensuring data quality. We are seeking a Business Intelligence Engineer/ Data Engineer to join our Marketing Analytics team. This position will focus on optimizing existing Python data pipelines, implementing best practices for code documentation and version control, and developing comprehensive Power BI data models to support marketing analytics initiatives. They assess complex data systems and programs in support of ad-hoc and standing management or customer requests. Creates programs, methodologies, and files for analyzing and presenting data. Examines data quality, applications, and functions. Produces output and sustains operation. Researches new data sources and analytical tools. Contributes to new product development and improvement in product delivery and presentation. Develops awareness of and familiarity with issues and events affecting organization, department, and/or customer. Uses and supports database applications and analytical tools. Uses timely and appropriate participation of users/customers in data collection and query systems. 10+ years of experience. If you have had any responsibility for or participation in judicial, administrative, regulatory or other oversight proceedings involving Duke Energy or any of its affiliates, please identify the agency or department, the dates of your employment, and the nature of your responsibilities, including a list of any proceedings involving Duke Energy or any of its affiliates. NOTE: Only answer this question if you have worked with the government or other agency involved with Duke Energy oversight. Key Responsibilities Business Intelligence & Analytics Design and architect scalable marketing data infrastructure that supports current and future analytical needs. Design and develop Power BI data models tailored for marketing analytics Create interactive dashboards and reports that provide actionable marketing insights Collaborate with marketing stakeholders to understand analytical requirements Build and automate marketing dashboards using Microsoft Power BI Design PBI dashboard templates to achieve goals each line of business (LOB) Optimize data models for performance and scalability Ensure data accuracy and consistency across all BI solutions Use Python to perform advanced data analysis, modeling and automation Develop scripts to streamline marketing reporting, anomaly detection and audience segmentation Develop audience segmentation and clustering models to identify high-value customer groups and optimize campaign targeting Data Engineering & Pipeline Management Develop data pipelines and ETL processes to integrate GA4 with other marketing platforms and data products. Maintain and optimize existing Python scripts for data extraction and file transfer processes Debug and troubleshoot data pipeline issues to ensure reliable data flow Implement comprehensive error reporting and monitoring systems Ensure all code adheres to security protocols and compliance requirements Document all code and processes in GitHub with clear, maintainable documentation Code Management & Best Practices Create technical documentation and data governance frameworks to ensure data quality and consistency. Clean up and refactor existing codebase for improved maintainability Implement version control best practices using GitHub Establish coding standards and documentation protocols Conduct code reviews and ensure quality assurance processes Key Success Metrics Successful documentation and cleanup of existing Python codebase within first 90 days Implementation of robust error reporting system Development of comprehensive Power BI data models for marketing analytics Reduction in data pipeline errors and improved system reliability Enhanced marketing insights through improved BI solutions Required/Basic Qualifications Bachelor's degree In addition to required degree, five (5) years minimum of related work experience Desired Qualifications Bachelor’s Degree in Computer Science, Data Science, Engineering or Other Related Field 5+ years of experience in data engineering or business intelligence roles Strong proficiency in Python programming and data manipulation libraries Extensive experience with Power BI development and data modeling, mastering complex SQL & DAX Solid understanding of marketing analytics concepts and KPIs Experience with GitHub and version control systems Knowledge of data security protocols and compliance requirements Strong problem-solving and debugging skills Excellent documentation and communication skills Command of Google Analytics / Google BigQuery (GBQ) Experience with cloud platforms (AWS) Experience with marketing automation platforms and CRM systems (Sales Cloud) Command of SQL and database management systems Familiarity with data visualization best practices Understanding of statistical analysis and data science concepts Certification in Power BI or related BI tools Additional Preferred Qualifications Command of Google Analytics / Google BigQuery (GBQ) Experience with cloud platforms (AWS) Experience with marketing automation platforms and CRM systems (Sales Cloud) Command of SQL and database management systems Familiarity with data visualization best practices Understanding of statistical analysis and data science concepts Certification in Power BI or related BI tools Working Conditions Hybrid – Work will be performed from both remote and onsite locations after the onboarding period. However, hybrid employees should live within a reasonable commute to the designated Duke Energy facility. Specific Requirements Minimum of 5 years work experience OR 4 years work experience with a Masters degree Travel Requirements 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. Privacy Do Not Sell My Personal Information (CA) Terms of Use Accessibility Current Duke Energy Employees Current employees should utilize the internal career page to apply for available job postings Job Alerts Learn how to set up job alerts here. Future Interest Stay connected with Duke Energy by joining our Talent Community. Share your information and take the first step towards a brighter future with us! My Applications Check on the status of your application on your Candidate Home page. Need Assistance? View a step-by-step application guide for assistance in completing the process. Contact our team for questions on our hiring process. Diversity & Inclusion Read about our commitment to supporting a diverse and inclusive workforce. About Duke Energy Terms of Use Brighter opportunities. Brighter futures. Duke Energy values ideas that come from a diverse and inclusive workforce, and we’re dedicated to providing a work environment where all people are valued, respected and able to reach their full potential. Duke Energy is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, color, sex, pregnancy, childbirth or related medical conditions, including but not limited to lactation, religion, national origin, ancestry, ethnicity, citizenship, sexual orientation, gender identity, gender expression, age, marital status, physical or mental disability, genetic information, medical condition, military status, or protected veteran status. Duke Energy complies with all applicable state, federal and local laws, regulations and ordinances prohibiting discrimination. Privacy California Consumer Privacy Statement Duke Energy Notice to Employees: Government Contractor Whistleblower Protections Do Not Sell or Share My Personal Information (CA) Terms of Use Accessibility

Responsibilities

Design and architect scalable marketing data infrastructure and Power BI data models to drive actionable insights. Develop and optimize Python-based data pipelines and ETL processes to integrate marketing platforms and ensure data quality.