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POSITION SUMMARY

• The Sales Data Science & AI Enablement Analyst is an entry-level role designed for early-career talent with a background in data science, analytics, or machine learning. This role supports the development, testing, and operationalization of advanced analytics and AI-enabled solutions for Sales Operations. Under the guidance of senior team members, the analyst contributes to model development, data preparation, feature engineering, and quality assurance, while learning Vertiv's analytics platforms, engineering standards, and governance practices.

RESPONSIBILITIES

• Advanced Analytics & AI Support
  • Assist in developing, testing, and refining analytics and AI models for Sales use cases.
  • Contribute to exploratory data analysis, feature engineering, and model evaluation.
  • Document model logic, assumptions, and testing results in alignment with team standards.
• Data Preparation & Engineering Support
  • Prepare, clean, and transform datasets using Python, SQL, and Snowflake.
  • Support integration of new data sources into analytical workflows.
  • Build reusable scripts, templates, and basic automation components under supervision.
• Platform & Tooling Enablement
  • Learn and apply Vertiv's analytics technology stack, including Python, Git, Linux environments, Snowflake, Matillion, Sigma, and Power BI.
  • Follow engineering standards for version control, documentation, and code quality.
  • Support senior team members in maintaining shared analytical assets, semantic layers, and reusable patterns.
• Quality, Testing & Governance
  • Execute validation checks and contribute to analytics quality assurance processes.
  • Identify anomalies or data quality issues and escalate appropriately.
  • Help ensure analytics deliverables meet reliability and governance expectations.
• Cross-Team Collaboration
  • Collaborate with Sales analytics teams to understand data requirements and support analytical solution development.
  • Participate in code reviews, working sessions, and technical discussions.
  • Communicate findings clearly and professionally to team members and partners.

QUALIFICATIONS

• Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field.
• 0-3 years of foundational experience with Python, SQL, data science, and machine learning concepts (coursework, internships, or projects).
• Familiarity with version control (Git) and data platforms (Snowflake, or similar).
• Strong analytical mindset with curiosity and willingness to learn enterprise analytics technologies.
• Demonstrated attention to detail and commitment to producing high-quality work.
• Ability to work collaboratively and communicate effectively with technical and non-technical stakeholders.

PHYSICAL & ENVIRONMENTAL DEMANDS

• No special physical requirements.

TIME TRAVEL REQUIRED

• No travel required.

The successful candidate will embrace Vertiv's Core Principals & Behaviors to help execute our Strategic Priorities.
OUR CORE PRINCIPALS: Safety. Integrity. Respect. Teamwork. Diversity & Inclusion.
OUR STRATEGIC PRIORITIES

• Customer Focus
• Operational Excellence
• High-Performance Culture
• Innovation
• Financial Strength

OUR BEHAVIORS

• Own It
• Act With Urgency
• Foster a Customer-First Mindset
• Think Big and Execute
• Lead by Example
• Drive Continuous Improvement
• Learn and Seek Out Development

At Vertiv, we offer the stability of a global leader in a growing industry and the opportunity of a startup. We design, manufacture and service the mission-critical infrastructure technologies for vital applications in data centers, communication networks and commercial and industrial environments. With $5 billion in sales, a strong customer base and global reach in nearly 70 countries, our move to establish a standalone business enables us to deliver greater value to our customers and create new opportunities for our people.
Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to help.join@vertivco.com. If you are interested in applying or learning more about this role, please visit the company's career page located on Vertiv.com/Careers.
Work Authorization
No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
About the Team
Work Authorization
No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Equal Opportunity Employer
We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability.