Planning Analytics Specialist, Data Science

Vertiv GroupWesterville, OH
1d

About The Position

POSITION SUMMARY The Planning Analytics Specialist, Data Science leads the design, development, and deployment of advanced statistical and machine learning solutions that strengthen the planning organization’s effectiveness and decision-making. This role transforms complex data into actionable insights, delivering measurable improvements in forecast accuracy, operational efficiency, and business outcomes. By combining deep technical expertise with strong business acumen, the Data Science Specialist drives the adoption of best-in-class analytics practices and builds scalable capabilities that elevate analytical maturity across the RESPONSIBILITIES Develop scalable, repeatable processes that enable advanced analytics and data-driven decision-making across the organization. Provide consultative support to build foundational analytics capabilities that accelerate and enhance advanced analytical work. Communicate complex analytical concepts to senior and regional leaders in a clear, compelling manner. Build strong relationships and foster confidence in data, models, and insights at all levels of the planning organization. Apply business experience and technical expertise to recommend, develop, and implement best practices in model design. Identify and deploy appropriate modeling approaches for business needs, support business reviews with impactful visualizations, and automate analytical workflows where appropriate. Mentor and guide data scientists and sales analysts to promote a culture of collaboration, continuous learning, and ongoing improvement. QUALIFICATIONS 4-8 years of analytical experience or equivalent combination of advanced education and professional work. Experience with a programmatic statistical language such as Python or R (Python preferred). Experience with data visualization tools such as Power BI or Tableau (Power BI preferred). Proficiency with SQL and experience working with large-scale data platforms (e.g., Snowflake, Hadoop). Experience using Git or other version control software. Strong applied experience in data analysis, business intelligence, simulation, and optimization techniques. Exposure to and proficiency in a broad range of analytical methods and the ability to apply them effectively in real-world business applications. Exceptional attention to detail and high-quality execution. Ability to translate high-level direction into actionable, well-structured plans. Self-directed and capable of managing a portfolio of ongoing projects, including advocating for prioritization based on relative business value. PHYSICAL & ENVIRONMENTAL DEMANDS No Special Physical Requirements. TIME TRAVEL REQUIRED None. 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.

Requirements

  • 4-8 years of analytical experience or equivalent combination of advanced education and professional work.
  • Experience with a programmatic statistical language such as Python or R (Python preferred).
  • Experience with data visualization tools such as Power BI or Tableau (Power BI preferred).
  • Proficiency with SQL and experience working with large-scale data platforms (e.g., Snowflake, Hadoop).
  • Experience using Git or other version control software.
  • Strong applied experience in data analysis, business intelligence, simulation, and optimization techniques.
  • Exposure to and proficiency in a broad range of analytical methods and the ability to apply them effectively in real-world business applications.
  • Exceptional attention to detail and high-quality execution.
  • Ability to translate high-level direction into actionable, well-structured plans.
  • Self-directed and capable of managing a portfolio of ongoing projects, including advocating for prioritization based on relative business value.

Responsibilities

  • Develop scalable, repeatable processes that enable advanced analytics and data-driven decision-making across the organization.
  • Provide consultative support to build foundational analytics capabilities that accelerate and enhance advanced analytical work.
  • Communicate complex analytical concepts to senior and regional leaders in a clear, compelling manner.
  • Build strong relationships and foster confidence in data, models, and insights at all levels of the planning organization.
  • Apply business experience and technical expertise to recommend, develop, and implement best practices in model design.
  • Identify and deploy appropriate modeling approaches for business needs, support business reviews with impactful visualizations, and automate analytical workflows where appropriate.
  • Mentor and guide data scientists and sales analysts to promote a culture of collaboration, continuous learning, and ongoing improvement.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service