Database Analyst

Database Analyst / Programmer I Industry: Global Manufacturing and Industrial Technology Location: East Peoria, IL (Onsite) Pay Rate: $29/hr Duration: 2-year contract Schedule: Monday to Friday, 7:00 AM to 3:00 PM Start Date: February 9, 2026 About the Role A large, well-established manufacturing and industrial technology organization is seeking a Database Analyst / Programmer I to support analytics and reporting initiatives at a major production facility in East Peoria, IL. This role is ideal for an early-career analytics professional looking to gain hands-on experience working with real operational data that directly impacts supply chain, quality, and manufacturing teams. You will work closely with internal stakeholders to design SQL-based analytical views, build Power BI dashboards, and support the continued expansion of a Snowflake data environment. This is a fully onsite position with occasional access to the production floor. PPE will be provided as needed. Responsibilities • Meet with internal business partners to gather requirements and document data needs • Develop analytical views using SQL for reporting and operational insights • Build and maintain Power BI dashboards and reports • Participate in weekly DevOps reviews and task planning • Support the growth and structure of a Snowflake database as new data sources are added • Deliver reliable data views used by internal software and reporting tools Team and Environment • Collaborative and social team with a wide range of experience levels • Strong culture of teamwork and problem solving • Office-based role adjacent to a manufacturing facility • Occasional entry into the factory for projects, tours, or stakeholder collaboration Required Qualifications • 2 to 3 years of analytics experience • OR • Bachelor’s degree in Computer Science, Mathematics, Statistics, or Supply Chain Technical Skills • SQL • Power BI Nice to Have • Python Soft Skills • Clear and open communication • Ability to work independently • Strong time management and organization Interview Process • Panel interview with two interviewers • Onsite interview to meet the team and view the facility • Simple SQL skills assessment • Expected turnaround time of 1 to 2 weeks Why This Opportunity • Work on real-world data that impacts manufacturing operations in real time • Learn from a team with diverse experience levels • Gain exposure to enterprise-scale data systems and analytics tools • Stable, long-term contract with a predictable schedule