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Sales Data Analytics Specialist

Vertiv

Westerville, Ohio, United StatesOn Site

Original Job Summary

Sales Data Analytics Specialist

Vertiv is seeking an experienced Sales Data Analytics Specialist to research, develop, and deploy best-in-class statistical and machine learning models that measurably improve the Global Strategic Accounts Execution group outcomes.

Responsibilities

  • Develop processes to support advanced analytics and data driven decision-making.
  • Provide consultative and direct support to build foundational analytics capabilities.
  • Implement best practices in model development, visualization, and process automation.
  • Communicate complex topics to senior and regional leaders.
  • Mentor team members to encourage collaborative growth and continuous improvement.

Minimum Qualifications

5+ years of professional experience in data analysis, business intelligence, simulation, and optimization.

Preferred Experience

  • 5+ years working with PowerBi.
  • Experience with a programmatic statistical language like Python or R.
  • Experience with SQL and large data platforms like Snowflake or Hadoop.
  • Proficiency in a broad range of analytics methods and real-world deployment.
  • Strong attention to detail in execution.

Education & Certifications

Bachelor’s degree in Data Science, Analytics, Operations Research, Statistics, Engineering or a related technical field is preferred.

Additional Information

No special physical requirements. Minimal travel required (0-5%).

Key skills/competency

  • Statistical Modeling
  • Machine Learning
  • Data Analysis
  • Business Intelligence
  • PowerBi
  • Python
  • SQL
  • Visualization
  • Mentoring
  • Process Automation

How to Get Hired at Vertiv

🎯 Tips for Getting Hired

  • Research Vertiv's culture: Study their mission, values, and success stories.
  • Customize your resume: Highlight analytics and machine learning experiences.
  • Emphasize relevant skills: Showcase Python, SQL, and PowerBi expertise.
  • Prepare for technical interviews: Practice data modeling and visualization questions.

📝 Interview Preparation Advice

Technical Preparation

Review Python libraries and statistical packages.
Practice SQL query and data manipulation.
Build PowerBi dashboards for visualization.
Study model deployment case studies.

Behavioral Questions

Discuss a time you mentored colleagues.
Explain a complex project to non-technical leaders.
Describe teamwork in challenging situations.
Share examples of clear communication under pressure.