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

The Role: Launch Your Enterprise Software Career

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.

What You'll Do:

• 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.
• Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning and LLM-based solutions.
• Execute proof projects showcasing the value of Celonis Process Intelligence in the context of our customers’ strategy, business initiatives, and challenges
• Develop and modify Celonis data models using SQL and analyses using PQL (Celonis proprietary language) to create compelling prototypes that address customer pain points.
• Lead proof-of-concept projects within the Celonis platform to demonstrate tangible value aligned with customer strategies and needs.
• Collaborate with customers and partners to design and build Celonis solutions that ensure a positive return on investment.
• Establish strong, trusted advisor relationships with customers through your technical expertise, product knowledge, and business acumen.

What You Need:

• 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.