We believe power is a promise - a shared commitment to be there for others when it matters most. For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future. Ready to Power a Smarter World with us? The Analytics Engineer II, Marketing is responsible for executing analytics initiatives across various marketing domains including media performance measurement, marketing attribution, consumer behavior modeling, and strategic KPI reporting. The role blends the rigor of data science with the practicality of engineering and business analysis. This individual will analyze structured and unstructured data using statistical analysis, predictive modeling, and data mining techniques to develop actionable insights and recommendations. Working closely with business stakeholders and data engineering teams, this role supports the development of data infrastructure and delivers analytic solutions to improve business outcomes.

Major Responsibilities Collaboration & Requirements Gathering:

Partner with data engineering and business stakeholders to define analytical requirements and design robust data pipelines and models. Translate marketing and business needs into scalable data and reporting solutions. Support experimentation efforts and analyze marketing campaign impact.

Reporting Development:

Design, develop, and optimize dashboards and reporting frameworks for marketing analytics and KPI monitoring. Ensure timely, accurate delivery of reports and insights to cross-functional teams and executives.

Data Preparation & Integration:

Prepare and clean structured and unstructured data to ensure quality and consistency. Merge and extract data across multiple sources (e.g., sales, operations, consumer behavior) into unified repositories to enable holistic insights.

Advanced Analytics & Predictive Modeling:

Develop, deploy, and maintain statistical and predictive models using machine learning techniques. Perform exploratory and explanatory data analysis, benchmarking, and forecasting. Utilize cloud computing and open-source tools for scalable analytics.

Performance Metrics & Process Improvement:

Define and refine marketing performance metrics aligned with business goals. Lead initiatives to automate workflows and improve data-driven decision-making processes.

User Support & Documentation:

Provide user training and documentation to facilitate self-service analytics. Support less experienced analysts and promote best practices in data handling and visualization.

Minimum Job Requirements Education:

Bachelor's degree in Data Science, Computer Science, Statistics, Marketing Analytics, or a related field is required.

Experience:

2+ years of experience in data analytics, business intelligence, or marketing analytics. Demonstrated experience in media mix modeling, multi-touch attribution, incrementality testing, and A/B testing.

Technical Skills:

Advanced proficiency in SQL and/or Python. Strong skills in Power BI and Excel for dashboard creation and reporting. Familiarity with data modeling, ETL pipelines, and cloud-based platforms such as Databricks. Ability to manipulate and analyze unstructured data.

Analytical & Soft Skills:

Strong problem-solving, statistical, and modeling skills. Ability to communicate complex analytical findings to non-technical audiences. Highly organized, self-motivated, and able to manage multiple priorities. Strong collaboration and stakeholder engagement capabilities. #LI-BB1

Physical Demands:

While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion, the incumbent may be required to stoop, bend, or reach above the shoulders. The employee must occasionally lift up to 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision, and the ability to adjust focus. Occasional travel. "We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law."