The HR Insights Specialist supports global HR operations by transforming workforce data into actionable insights through reporting, dashboard development, and data quality management. This role combines technical skills in SQL, Python, or R with experience in large-scale data environments, working closely with HR and technical teams to deliver impactful analytics in a dynamic, global setting. A major focus of this role is to assist in the ongoing transition of production data into the company’s new data warehousing solution, supporting the foundation for more advanced analytics capabilities. The Specialist works closely with HR leadership, cross-functional partners, and the broader HR Insights team to ensure reporting outputs are accurate, relevant, and aligned with business needs.
Responsibilities and Measurement Criteria with Time investment Needed on Each:
(This will describe the overall core responsibilities of the role, decision making responsibilities etc.)
- Lead the integration of HR production data into the enterprise data warehouse, enhancing accessibility, consistency, and cross-platform reporting capabilities.
- Design and deliver advanced Power BI dashboards and analytics solutions for the extended ELT and HR leadership, translating complex data into strategic insights.
- Oversee the end-to-end process of gathering, validating, and transforming HR data from multiple systems (e.g., Oracle HCM, performance platforms, employee surveys).
- Provide consultative support to HR and business leaders by analyzing key workforce trends such as turnover, diversity, engagement, and mobility, influencing strategic decision-making.
- Collaborate closely with HR Business Partners and COEs to develop and deliver custom reports, visualizations, and analytics using tools such as OTBI, BIP, FDI, and Excel.
- Manage global recurring reporting cycles (e.g., Census Actuals, Forecasts) and serve as a key contact for analytics delivery across regions.
- Own and maintain automated scripts in R Studio to streamline global reporting processes and support scalable analytics solutions.
- Champion data quality and governance by establishing and maintaining standards, ensuring compliance with privacy and security regulations across regions.
- Stay current on best practices in people analytics, big data, and data engineering to continuously evolve Vertiv’s HR reporting landscape.
Qualifications
Required/ Minimum Qualifications:
- Bachelor's degree in HR, Data Analytics, Statistics, Business Analytics or a related field. MBA or master’s degree in a relevant discipline strongly preferred.
- Proven experience in HR data analysis, with a track record of delivering actionable, business-relevant insights.
- Proficiency in tools such as Excel, Power BI, RStudio (or similar), SQL, and enterprise data warehousing platforms.
- Hands-on experience with HRIS platforms, preferably Oracle HCM; knowledge of Core HR modules, OTBI, and BI Publisher.
- Strong communication skills, including the ability to translate complex data into clear, business-relevant narratives.
- Familiarity with data privacy standards and handling of sensitive employee data across regions.
- Highly organized, self-motivated, and able to perform under pressure in a deadline-driven environment.
Time Travel Needed
About The Team
Work AuthorizationNo 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 EmployerWe 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.