Data Analyst, AI

Position Overview

As the nation's largest producer of clean, carbon‐free energy, Constellation is focused on accelerating the transition to a carbon‐free future. We are cultivating a workplace where employees can grow, thrive, and contribute while fighting climate change and creating healthier communities and a cleaner planet. Join us to build a fulfilling career where your best work makes a real impact.

Key Responsibilities

• Support data preparation efforts for AI/ML models by sourcing, cleaning, and profiling structured and unstructured data.
• Develop features for machine learning models and anomaly detection algorithms to support data‐driven decision‐making.
• Collaborate with cross‐functional teams to document data requirements, business rules, and data definitions.
• Perform exploratory data analysis (EDA) to identify patterns, gaps, and anomalies in sales‐related data.
• Validate and test model outputs against expected results or historical data.
• Document queries, data dictionaries, and analysis results in Confluence or internal tools.
• Participate in sprint planning and agile ceremonies as a contributor to the data workstream.
• Analyze complex datasets using AI techniques to uncover insights that inform sales strategies and business decisions.
• Create automated reporting systems and real-time analytics dashboards.
• Build technical knowledge and business acumen within data analytics and AI.
• Build simple dashboards or data visualizations to support reporting needs or communicate trends.

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
• 2-5 years of experience in data analysis and machine learning
• Proficiency in one or more programming languages for data analysis (Python, R, Java, Julia, etc.)
• Experience with AI frameworks like TensorFlow, Scikit-learn, or PyTorch
• Exposure to cloud platforms (Azure, Databricks, AWS, or GCP)
• Strong problem-solving and analytical skills with keen attention to detail
• Familiarity with basic statistics and data validation techniques
• Experience in data preparation, cleaning, and visualization
• Excellent communication skills (written and verbal) for conveying complex findings to non-technical stakeholders

Preferred Qualifications

• Familiarity with data exploration and visualization tools like Power BI, Tableau, etc., and workstation applications
• Understanding of basic machine learning workflows (feature engineering, model evaluation)
• Experience with Salesforce CRM application
• Understanding of sales transformation projects within the energy sector

Benefits & Perks

• Salary: $92,700 to $103,000 per year, varies based on experience
• Benefits: Bonus program, 401(k) with company match, employee stock purchase program, comprehensive medical, dental and vision benefits, robust wellness program, and paid time off for vacation, holidays, and sick days