Associate Value Engineer (AI-Driven Data Science & Analytics - Orbit Program)

Join Celonis, a leading enterprise software company, as an Associate Value Engineer in our immersive 12-month Orbit Program. This program offers a unique blend of client engagements, dedicated mentorship, and a strong team culture. You'll develop essential Value Engineering skills, build lasting client relationships, and establish yourself as a trusted advisor. The program includes comprehensive onboarding, hands-on experience in customer engagements, and targeted training. You'll gain expertise in various areas, including coding within the Celonis platform, scoping business and technical requirements, and understanding value selling and realization.

• Consult with customers using systems analysis to identify core business challenges and determine how Celonis can drive impactful solutions.
• Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning and LLM-based solutions.
• Establish strong, trusted advisor relationships with customers through your technical expertise, product knowledge, and business acumen.
• Excellent analytical and creative problem-solving skills, with the ability to apply technology to business challenges
• The ability to build relationships with senior management and influence decision-making
• A customer-centric mindset with a focus on delivering value
• Excellent communication skills and fluency in English
• Confidence in presenting to diverse audiences
• Curiosity, self-motivation, a commitment to continuous learning, and the desire to thrive in a fast-paced, high-growth environment
• A proactive approach to problem-solving, with a willingness to learn from mistakes
• Bachelor’s degree in Business, Engineering, Data Analytics, Economics, Computer Science, Mathematics, or a related STEM field
• Extensive internship experience or 1-3 years of full-time work experience
• Hands-on experience with at least one of the following: SQL, Microsoft Power BI, Tableau, or another data analytics solution
• Strong organizational skills with the ability to prioritize and execute on deadlines
• A strong passion for technology, big data, and its transformative potential
• GPA of 3.6 or higher
• Degree in Industrial Engineering or a similar field
• Degrees combining technical (e.g., Computer Science, Data Science) and business (e.g., Economics, Marketing) skills
• Customer-facing, customer success/service, or sales experience
• Experience with Python and Machine Learning
• Supply Chain process experience (Procurement, Order Management, Inventory Management, Production)
• Experience with Proof of Concept projects
• Finance process experience (Accounts Payable, Accounts Receivable)
• Experience modeling ROI and TCO for business case justification
• Experience with SAP and/or Oracle
• Fluency in French and/or Spanish