Sales Technical Analytics Intern

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  "last_changed_at": "2026-05-29T07:01:10.167Z",
  "active_status": "active"
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    "country": "United States",
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  "inferred_at": "2026-06-06T20:29:41.608Z",
  "launch_scope": {
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    "included": true,
    "language": "en",
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  "salary_period": "hour",
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  "salary_currency": "USD"
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{
  "lists": [
    {
      "text": "Responsibilities for this role:",
      "content": "\n<li>Develop data warehouse and data marts that transform raw data into high-performance, structured data models to power analyses &amp; visualization tools for the Sales organization</li>\n<li>Build “point-in-time” data models that enable trend analysis such as pipeline flow reporting</li>\n<li>Enable Sales Ops users to perform their own ad-hoc analysis by maintaining clean, well-documented, and easy-to-query semantic layers.</li>\n<li>Design automated ingestion paths for manual spreadsheet data to ensure they are validated and integrated into the central data environment.</li>\n<li>Implement automated data quality checks and monitoring to ensure accuracy across all sales reporting.</li>\n<li>Maintain clear documentation of data lineage, business logic, and definitions for all sales-related metrics.</li>\n"
    },
    {
      "text": "Key Requirements",
      "content": "\n<li>Engineering Mindset: A preference for \"code-first\" analytics—moving away from fragile manual processes toward reproducible, tested pipelines.</li>\n<li>Expert SQL &amp; Python: Must be comfortable writing complex transformations and using Python for pipeline automation using tools such as Jupyter or Marimo.</li>\n<li>Deep understanding of schemas and fact/dimension tables to ensure intuitive self-service for data users</li>\n<li>Experience with dbt or similar frameworks that prioritize version-controlled, modular data modeling.</li>\n<li>Familiarity with (or eagerness to learn) Customer lifecycles and CRM data structures (e.g. Salesforce)</li>\n<li>Uncommonly driven to succeed and maniacally self-initiated; extreme attention to detail</li>\n<li>Passion for clean energy and sustainability</li>\n<li>Background in a quantitative field such as Mathematics, Economics, Finance, or Engineering is required; MBA experience is preferred</li>\n"
    }
  ],
  "country": "US",
  "createdAt": 1661805850014,
  "updatedAt": null,
  "categories": {
    "team": "Sales Ops",
    "location": "Remote",
    "commitment": "Coop/Intern",
    "department": "Marketing & Sales Operations",
    "allLocations": [
      "Remote"
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  },
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