Senior Analytics and Visualization Consultant - Digital & Marketing Analytics

Duke Energy Corporation•Charlotte, NC

1d•Hybrid

About The Position

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.

Requirements

Bachelor's degree
five (5) years minimum of related work experience
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
Minimum of 5 years work experience OR 4 years work experience with a Masters degree

Nice To Haves

Bachelor’s Degree in Computer Science, Data Science, Engineering or Other Related Field
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

Responsibilities

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
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
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