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Celonis

Process intelligence platform for end-to-end efficiency

Associate Value Engineer - AI-Driven Data Science & Analytics

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • A bachelor's degree in Business, Engineering, Data Analytics, Economics, Computer Science, Mathematics, or a related STEM field is required.
  • Extensive internship experience or 1–3 years of full-time work experience is required.
  • Hands-on experience with at least one of SQL, Microsoft Power BI, Tableau, or another data analytics solution is required.
  • A strong interest in technology, big data, and its transformative potential is required.
  • Analytical and creative problem-solving skills, including applying technology to business challenges, are required.
  • A customer-centric mindset focused on delivering value is required.
  • The ability to build relationships with senior management and influence decision-making is required.
  • Confidence presenting to diverse audiences is required.
  • A proactive approach to problem-solving and willingness to learn from mistakes is required.
  • Curiosity, self-motivation, commitment to continuous learning, and ability to thrive in a fast-paced, high-growth environment are required.
  • Strong organizational skills and the ability to prioritize and meet deadlines are required.
  • Fluency in English is required.

Responsibilities

  • 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 solutions with their AI strategy.
  • Prototype and develop AI solutions tailored to customer needs, including traditional machine learning and large language model-based solutions.
  • Execute proof projects that demonstrate the value of Celonis Process Intelligence in the context of customers’ strategies, business initiatives, and challenges.
  • Develop and modify Celonis data models using SQL and analyses using PQL to create prototypes addressing 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 trusted advisor relationships with customers through technical expertise, product knowledge, and business acumen.
  • Articulate and quantify strategic business value for customers and deliver presentations to senior executives.
  • Partner with the implementation services team to ensure successful value realization for customers.
  • Identify opportunities for innovation and collaborate with Product and Engineering teams to influence future product development.
  • Contribute reusable collateral, best practices, and tools to the Global Value Engineering Center of Excellence.

Desired Qualifications

  • A GPA of 3.6 or higher.
  • A degree in Industrial Engineering or a similar field.
  • A degree combining technical skills, such as Computer Science or Data Science, and business skills, such as Economics or Marketing.
  • Experience with Python and machine learning.
  • Customer-facing, customer success/service, or sales experience.
  • Experience with proof-of-concept projects.
  • Supply chain process experience, including Procurement, Order Management, Inventory Management, or Production.
  • Finance process experience, including Accounts Payable or Accounts Receivable.
  • Experience modeling return on investment and total cost of ownership for business case justification.
  • Experience with SAP and/or Oracle.
  • Fluency in French and/or Spanish.

About the Company

Celonis

Process intelligence platform for end-to-end efficiency

Celonis builds a Process Intelligence platform that creates a digital twin of an organization's end-to-end processes by collecting data from multiple systems to map how work actually flows. Users from different departments can see bottlenecks, inefficiencies, and improvement opportunities in a system-agnostic view, enabling cross-functional collaboration. Its business model charges customers for platform usage and aims to help organizations accelerate digital transformation and achieve cost savings. Its goal is to help organizations streamline operations and realize measurable efficiency gains through data-driven process improvements.

Company size
1,001-5,000
Company stage
Series D
Total funding
$2.4B
Headquarters
Munich, Germany
Founded
2011

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