Professional Services Analyst
Summary
Analyst role in Professional Services at GAINS, working on AI-powered supply chain decision intelligence. Day-to-day involves SQL data analysis, Excel modeling, and client-facing deliverables to optimize inventory and planning.
Professional Services — Early Career
| Location Chicago, IL (Hybrid) | Employment Type Full-Time | Experience Entry Level |
You won’t be running coffee or working in a silo. You’ll be doing meaningful analytical work that directly informs how our clients plan inventory, manage supply risk, and drive business outcomes. This role is designed to develop you quickly—giving you the foundations to grow into a Consultant and beyond within the GAINS Professional Services practice.
- Support Senior Consultants on client implementations and optimization engagements, contributing to data analysis, configuration work, and client-ready deliverables.
- Query and analyze large customer datasets using SQL to validate data quality, identify patterns, and surface actionable insights.
- Apply AI-powered tools and analytics—including large language models and automated diagnostics—to accelerate analysis and strengthen the quality of client recommendations.
- Build and maintain Excel-based models, dashboards, and reports that communicate findings clearly to both operational and executive audiences.
- Participate in client meetings and status calls, developing your ability to present data-driven findings with confidence and clarity.
- Contribute to the development of reusable analytical frameworks and internal tooling that improve how the Professional Services team operates.
- Learn the GAINS platform deeply—becoming a go-to resource for configuration, troubleshooting, and best-practice guidance across the team.
- Bachelor’s degree in Supply Chain, Operations, Business Analytics, Information Systems, Mathematics, or a related field.
- Strong analytical mindset with a genuine curiosity for working through data problems—you enjoy finding the story in a dataset.
- Proficiency in Excel; comfort with structured data and logical problem decomposition.
- Clear, professional written and verbal communication skills; you can explain a complex finding simply.
- A collaborative, low-ego work style—you’re as comfortable supporting others’ work as leading your own.
- Eagerness to learn new tools and technologies quickly in a fast-paced consulting environment.
Preferred
- Hands-on experience with SQL or Python—coursework, internships, or personal projects all count.
- Exposure to AI or LLM-based tools (e.g., ChatGPT, Copilot, or similar) in an academic or professional context.
- Coursework or internship experience in supply chain planning, operations management, or data analytics.
- Familiarity with supply chain concepts such as demand forecasting, inventory management, or procurement.
- Prior internship experience in consulting, analytics, or enterprise software is a plus.
- Start your career working on real problems—not internal projects or back-office support—with direct client exposure from your first engagement.
- Develop expertise at the intersection of AI and supply chain, one of the most consequential technology shifts happening in business today.
- Grow alongside a team of experienced practitioners who are invested in your development and take mentorship seriously.
- A culture that rewards curiosity, initiative, and rigorous thinking—at a company that is genuinely moving forward faster.
The pay range for this position (Analyst or Senior Analyst) is $70,000 - $100,000; base pay offered may vary depending on a number of factors including but not limited to: the position offered, location, education, training, and/or experience. In addition to base pay, also offered is a comprehensive benefits package (medical, dental, vision), 401(k), holiday pay, flexible time off, and more. This position is eligible for participation in a short-term incentive plan subject to the terms of the applicable plans and policies.
We are committed to equal employment opportunity and welcome everyone regardless of race, color, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, veteran status or medical condition. We encourage people from all backgrounds to apply.

