Ecolab logo
Ecolab

Discover how our partnership with customers helps serve 45 billion restaurant meals and clean more than one billion hotel rooms annually. From restaurants, hotels, and long-term care facilities, to schools, commercial buildings, and military facilities, Ecolab’s Institutional division provides a comprehensive program of customized cleaning and sanitizing solutions to help meet the specific needs of our customers. Join us and help the biggest and best brands ensure guest safety and satisfaction and protect their reputation. Position Details Location: St. Paul, MN, Open to remote. Preferred Qualifications Master’s degree or MBA. 3 years of people leadership experience. Vendor management experience. Experience in business-to-business service operations in industries such as facilities management, field services, logistics, or similar. Strong technology adoption and change management skills. Ability to drive operational results that impact the bottom line. Ability to implement change initiatives and adapt to changing business environments. Leadership and career progression managing within a service organization. Annual or Hourly Compensation Range The base salary range for this position is $120,500.00 - $180,700.00. This position is eligible for annual bonus pay based on performance, per plan terms. Many factors are taken into consideration when determining compensation, such as experience, education, training, geography, etc. We comply with all minimum wage and overtime laws. Potential Customer Requirements Notice To meet customer requirements and comply with local or state regulations, applicants for certain customer-facing roles may need to undergo additional background screens and/or drug/alcohol testing for customer credentialing. Be fully vaccinated for COVID-19, including a booster if eligible, unless a religious or medical accommodation is requested by the applicant and approved by Ecolab. Americans with Disabilities Act (ADA) Ecolab will provide reasonable accommodation (such as a qualified sign language interpreter or other personal assistance) with our application process upon request as required to comply with applicable laws. If you have a disability and require accommodation assistance in this application process, please visit the Recruiting Support link in the footer of each page of our career website.

Strategic AI Commercial Operations Analyst

Artificial IntelligenceArtificial IntelligenceFull TimeRemoteMid LevelTeam 10,001+Since 1923H1B SponsorCompany SiteLinkedIn

Location

Europe

Posted

8 days ago

Salary

0

Seniority

Mid Level

No structured requirement data.

Job Description

Strategic AI Commercial Operations Analyst

Ecolab

Role Description The Strategic Commercial Operations Analyst plays a key role in driving the evolution of sales analytics within Institutional Europe. The position focuses on the development and deployment of advanced, AI-driven sales analytics solutions, leveraging modern BI platforms and machine learning techniques to support data-driven decision-making. This is a hands-on analytical role, responsible for transforming fragmented data into scalable, user-friendly digital solutions (primarily Power BI) and delivering actionable insights that shape business strategies. Qualifications - Bachelor’s or Master’s degree in Business, Statistics, Data science, or related field - 5–6 years of experience in business intelligence, business analytics, or similar roles - Strong expertise in: - Power BI (or similar BI tools) - Data modelling and visualization - Mandatory: Proven experience applying AI and machine learning tools to sales analytics development Requirements - Strong analytical and problem-solving skills - Ability to translate complex data into clear, actionable insights - Experience working with fragmented and complex datasets - Solid understanding of sales processes and performance drivers - Strong knowledge of machine learning techniques, including: - Clustering - Decision tree learning - Neural networks - Strong stakeholder management and communication skills - Nice to Have (Optional): Previous experience coordinating or mentoring team members Benefits - Comprehensive science-based solutions - Data-driven insights and world-class service - Commitment to diversity, equity, and inclusion

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