Sales Analytics Intern at Voltus in Remote

Summary: Voltus is hiring a whip-smart, proud data nerd with an unparalleled desire to learn about Sales data and operations. This role will specifically focus on the development of the data pipeline & self-service reporting tools for the Sales organization. Responsibilities: - Develop data warehouse and data marts that transform raw data into high-performance, structured data models to power analyses & visualization tools for the Sales organization - Build “point-in-time” data models that enable trend analysis such as pipeline flow reporting - Enable Sales Ops users to perform their own ad-hoc analysis by maintaining clean, well-documented, and easy-to-query semantic layers - Design automated ingestion paths for manual spreadsheet data to ensure they are validated and integrated into the central data environment - Implement automated data quality checks and monitoring to ensure accuracy across all sales reporting - Maintain clear documentation of data lineage, business logic, and definitions for all sales-related metrics Required Qualifications: - Engineering Mindset: A preference for 'code-first' analytics—moving away from fragile manual processes toward reproducible, tested pipelines - Expert SQL & Python: Must be comfortable writing complex transformations and using Python for pipeline automation using tools such as Jupyter or Marimo - Deep understanding of schemas and fact/dimension tables to ensure intuitive self-service for data users - Experience with dbt or similar frameworks that prioritize version-controlled, modular data modeling - Familiarity with (or eagerness to learn) Customer lifecycles and CRM data structures (e.g. Salesforce) - Uncommonly driven to succeed and maniacally self-initiated; extreme attention to detail - Passion for clean energy and sustainability - Background in a quantitative field such as Mathematics, Economics, Finance, or Engineering is required Preferred Qualifications: - MBA experience is preferred Required Skills: Expert SQL, Python, Data modeling Important Skills: dbt, similar frameworks, Customer lifecycles knowledge Nice-to-Have Skills: Passion for clean energy, Quantitative background