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Chisel Analytics connects growing companies with expert AI and analytics talent—without the overhead of full-time hires. Access fractional leaders, project-based specialists, and strategic advisors who tackle your AI and data challenges on your timeline and budget. Get enterprise-level insights in weeks, not months. THE STAFFING PROBLEM WE SOLVE Traditional analytics hiring is broken. Companies wait 6-9 months, spend $180K+ on senior hires, and often get locked into full-time commitments for roles that need 10-15 hours a week. Meanwhile, 75% of employers face critical talent shortages in data and AI roles, and 80% of SMBs lack the analytics capabilities to compete. OUR STAFFING SOLUTIONS We pioneered a flexible staffing model that gives you exactly the expertise you need, when you need it: → Fractional Analytics Staffing Part-time CDOs, Analytics Managers, and Data Strategists (8-20 hrs/week) who guide your roadmap without $200K salaries → Project-Based Staffing ML Engineers, Data Scientists, and BI Developers for defined initiatives—customer churn models, predictive analytics, real-time dashboards → Strategic Consulting + Execution We don't just staff roles—we solve problems. Strategic guidance paired with hands-on implementation → Flexible Scaling Need more help during a launch? Scale up. Project complete? Scale down. No long-term employment contracts EXPERTISE AREAS - AI & Machine Learning (predictive models, NLP, computer vision) - Business Intelligence & Data Visualization - Data Strategy, Governance & Architecture - Analytics Engineering & Automation - Team Building & Capability Assessment WHO WE STAFF FOR - SMBs (50-500 employees) competing with data but not ready for full teams - Mid-market companies needing specialized AI/ML skills for projects - Organizations building data-driven culture before permanent hires - Leaders scaling analytics strategically without ballooning headcount

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Michael J. is the Founder of Chisel Analytics.

1 people are employed at Chisel Analytics.

Chisel Analytics is based in Dallas, Texas.

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