Sr Data Analyst, AI

Overview

Senior Data Analyst driving AI analytics for clean energy transformation

Key Responsibilities

• dashboard development
• data exploration
• model evaluation
• data engineering
• dataset preparation
• stakeholder communication

Tasks

-Create dashboards and analytical tools to help product managers, sales leaders, and data scientists interpret performance and opportunity areas. -Translate business problems into analytical requirements and partner with Data Scientists to design relevant features and input variables. Conduct in depth exploratory data analysis (EDA) using Python, SQL, and visualization tools to identify trends, correlations, and data quality issues. -Evaluate model outputs and recommend improvements based on quantitative insights and business logic. Create dashboards and analytical tools to help product managers, sales leaders, and data scientists interpret performance and opportunity areas. -Represent the analyst voice in agile planning, roadmap discussions, and cross team reviews. Communicate effectively with stakeholders to support data driven decision making. -Mentor junior analysts and contribute to shared analytical standards and documentation practices, fostering a culture of learning and continuous improvement. -Collaborate with Data Engineers to ensure data availability and integrity across ingestion pipelines, and work with cross functional teams to translate complex findings into actionable business strategies. -Lead the exploration and preparation of high value datasets for use in AI and machine learning models, applying advanced data cleaning techniques to ensure accuracy and reliability for predictive analytics and pattern recognition. -Own the documentation and definition of key business entities and variables such as customer, opportunity, and lead to support modeling and reporting needs.

Requirements

• python
• sql
• databricks
• power bi
• master's
• problem solving

What You Bring

-Proficiency in programming languages including Python (Pandas, NumPy, Matplotlib), R, and SQL to manipulate data and generate insights from large data sets -5-years of experience in data analysis and AI with demonstrated success in delivering strategic insights -Experience with Databricks, Delta Lake, or Azure-based analytics ecosystems -Strong problem-solving, analytical, and critical thinking skills -Proven ability to clean, join, and analyze complex datasets from disparate sources (CRM, external vendors, internal systems) -Familiarity with agile workflows and collaboration tools such as Azure DevOps, Confluence, or Git -Proficiency in major BI and visualization tools, such as Power BI, Qlik, Tableau, SQL Server -Experience applying B2B sales and marketing strategies to business use cases within the energy sector -Advanced knowledge of AI frameworks like TensorFlow, Scikit-learn, or PyTorch -Experience in machine learning algorithms, predictive modeling, and anomaly detection -Master's degree -Excellent communication skills (written and verbal) for conveying complex findings to non-technical stakeholders -Bachelor's degree in a quantitative discipline such as Data Science, Data Analytics, Applied Mathematics, Statistics, Computer Science, Operations Research, or a related field -Familiarity with data governance and data quality best practices

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About Constellation

-Reclaimed independence in 2022 to focus on clean-energy goals. -Powers over 20 million U.S. homes and businesses with diverse energy sources. -Restarted Three Mile Island Unit 1 with Microsoft's 20-year energy agreement. -Provides retail energy services to ~2 million customers, including Fortune 100 companies.

Sector Specialisms