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Associate Value Engineer - AI-Driven Data Science & Analytics - Orbit Program at Celonis · LumiJobs

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Celonis· Posted 2026-07-06

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

Raleigh, NCfull timeOn Site

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entry

$90k–$95k

H1B: yes

Celonis The Associate Value Engineer in the Orbit Program at Celonis supports client engagements by developing Celonis-powered solutions using SQL and PQL. This role involves consulting customers, presenting AI value propositions, and prototyping AI solutions including machine learning and LLM-based models.

Responsibilities

Kickstart your career in enterprise software through our immersive 12-month Orbit Program. This program offers a unique blend of client engagements, dedicated mentorship, and a strong team culture where collaboration and shared success are paramount. You'll leverage your technical background to develop essential Value Engineering skills, build lasting client relationships, and establish yourself as a trusted advisor, paving the way for significant career growth within Celonis.
The Orbit Program is structured into classes and cohorts, with start dates organized twice a year. You'll likely join a cohort with a summer start date (June/July) or a winter start date (January/February), allowing you to grow and develop alongside your cohort peers.
Your journey begins with comprehensive onboarding and enablement, followed by hands-on experience in customer engagements and targeted training. You will gain expertise in:
Building and coding within the Celonis platform (SQL and PQL)
Scoping business and technical requirements
Effectively handling objections
Developing industry domain knowledge
Delivering impactful presentations and demos
Understanding value selling and realization
Managing customer accounts
Consult with customers using systems analysis to identify core business challenges and determine how Celonis can drive impactful solutions.
Present the Celonis AI value proposition and vision to customers and align our solutions with their AI strategy.

Qualification

Bachelor’s degree in BusinessA strong passion for technologyA proactive approach to problem-solvingCuriosityGPA of 3Degrees combining technical (eCustomer-facing

Required

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.
A strong passion for technology, big data, and its transformative potential.
Excellent analytical and creative problem-solving skills, with the ability to apply technology to business challenges.
A customer-centric mindset with a focus on delivering value.
The ability to build relationships with senior management and influence decision-making.
Confidence in presenting to diverse audiences.
A proactive approach to problem-solving, with a willingness to learn from mistakes.
Curiosity, self-motivation, a commitment to continuous learning, and the desire to thrive in a fast-paced, high-growth environment.
Strong organizational skills with the ability to prioritize and execute on deadlines.
Excellent communication skills and fluency in English.

Preferred

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.
Experience with Python and Machine Learning.
Customer-facing, customer success/service, or sales experience.
Experience with Proof of Concept projects.
Supply Chain process experience (Procurement, Order Management, Inventory Management, Production).
Finance process experience (Accounts Payable, Accounts Receivable).