Associate Value Engineer (AI-Driven Data Science & Analytics) - Orbit Program
Skills
- Proficiency in SQL and data analytics tools like Power BI or Tableau.
- Strong analytical and creative problem-solving abilities.
- Excellent communication and presentation skills.
- Ability to build senior management relationships and influence decisions.
- Customer-centric mindset focused on delivering measurable value.
- Technical aptitude with a passion for big data and technology.
- Familiarity with process mining and AI technologies.
Responsibilities
- Consult with customers to identify business challenges and design Celonis-driven solutions.
- Present AI value propositions and align solutions with customer AI strategies.
- Prototype and develop AI and machine learning solutions tailored to customer needs.
- Execute proof-of-concept projects demonstrating Celonis Process Intelligence benefits.
- Build and modify Celonis data models using SQL and PQL for impactful prototypes.
- Lead proof-of-concept initiatives to demonstrate tangible value aligned with customer needs.
- Collaborate with customers and partners to design solutions ensuring positive ROI.
- Establish trusted advisor relationships with technical expertise and business acumen.
- Partner with implementation teams to ensure value realization.
- Influence product development by identifying innovation opportunities.
- Contribute to creating collateral, best practices, and tools for the Global Value Engineering Center of Excellence.
Education
- Bachelor’s degree in Engineering, Data Analytics, Economics, Computer Science, Mathematics, or a related STEM field.
Benefits
- Generous paid time off and hybrid working options.
- Company equity (RSUs) and comprehensive health, dental, and life insurance benefits.
- 401k retirement plan.
- Extensive parental leave and dedicated volunteer days.
- Access to gym subsidies, counseling, and well-being programs.
- Inclusion and belonging programs fostering a diverse work environment.
- Opportunities for career growth, internal mobility, mentorship, and continuous learning.
Average salary estimate
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