Insight Global

Analytics Agentic Enablement Partner

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Analytics Agentic Enablement Partner, contract to FTE, located onsite in Lincolnshire, IL or Downtown Chicago. Pay is $50-60/hour. Requires 3+ years in analytics, strong SQL skills, and experience with AI tools.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
480
-
🗓️ - Date
July 23, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Chicago, IL
-
🧠 - Skills detailed
#SQL (Structured Query Language) #Python #Scala #BI (Business Intelligence) #Classification #ChatGPT #AI (Artificial Intelligence)
Role description
We are hiring for an Analytics Agentic Enablement Partner with our client, Camping World. Location - 3x onsite in Lincolnshire, IL or Downtown Chicago Compensation - $50-60/hour W2, $90-120k Duration - Contract to FTE (Must be authorized to work in the U.S. without current or future sponsorship) Openings - 1 The Analytics Agentic Enablement Partner is the bridge between a business function and our AI agent platform. You embed with your assigned function, learn how they make decisions, and build and maintain the specialized 'worker' agents that answer their recurring questions — then you drive adoption so people actually self-serve. Key qualifications: • 3+ years in analytics, BI, or data-focused business roles • Strong SQL experience • Experience using AI tools such as ChatGPT, Claude, Gemini, or Copilot • Ability to translate business questions into actionable data solutions What you'll do • Partner — Embed with your business function to understand its metrics, workflows, and the questions it asks most often. • Build agents — Design, build, and ship specialized worker agents that write and execute SQL/Python against governed data and return validated results — roughly one production-ready agent per weekly sprint. • Engineer prompts & skills — Author clear system prompts and skill files, wire the right connectors, and tie every output to certified metrics via the semantic layer. • Ensure quality & trust — Validate every agent against the evaluation harness; test ambiguous questions and connector-failure paths; enforce PII and data-classification guardrails before an agent goes live. • Drive adoption — Train and onboard business users, create templates and prompt packs, run demos, and provide support so self-service actually sticks. • Close the loop — Triage medium-complexity requests, feed new agent ideas from the intake queue, and escalate technical issues and plan reviews to the team. • Steward — Document each agent, register it in the catalog, and monitor its accuracy and usage after launch.