About The Position

This role combines advanced workforce data analytics, HR project management, and high-level administrative support to the VP HR Americas Region and their HR Leadership Team. The position is responsible for turning HR data into strategic insights, ensuring the on-time delivery of HR projects, and providing specialized administrative support for confidential personnel matters, policy development, and executive initiatives. This role requires a strong analytical mindset, proficiency in data analysis tools, and the ability to translate complex HR data into meaningful reports and presentations. Be an architect, not just finding the data, but building the analyses and reports that make it useful. Understand business challenges and respond through various analytics products (e.g., data storytelling briefings, executive presentations, reports, and dashboards). Ambition and aspiration to develop into an HR Business Partner/Center of Expertise practitioner. This role will report directly to the VP HR Americas Region. Vertiv Americas comprises 15,000 employees and is growing in Canada, Mexico, Brazil, Colombia, Chile, Peru, and the United States.

Requirements

  • 3+ years in HR project coordination or analytics, with familiarity in employee lifecycle processes.
  • Advanced proficiency in Microsoft Excel (pivot tables, VLOOKUP) and data visualization tools (e.g., Power BI, SQL, Tableau).
  • Experience with HRIS systems like Workday, SAP SuccessFactors, or Oracle HCM.
  • Strong capacity to interpret complex data and turn it into actionable insights.
  • Ability to manage highly sensitive and confidential information.
  • Excellent written and verbal communication skills for presenting findings to executive stakeholders.
  • Proven experience as an HR Data Analyst or similar role, with expertise in HR data analysis, minimum 3 years.
  • In-depth knowledge of HR processes, metrics, and KPIs.
  • Strong analytical and problem-solving skills, with the ability to extract insights from complex HR data sets.
  • Proficiency in using data analysis tools and programming languages, such as Excel, R, Python, SQL, or other statistical software.
  • Experience with data visualization tools, such as Tableau, Power BI, or similar platforms, to create compelling dashboards and reports.
  • Familiarity with HRIS systems and their data structures, including data extraction and manipulation.
  • Strong understanding of statistical analysis techniques, including correlation analysis, regression, and predictive modeling.
  • Excellent attention to detail and accuracy in handling and analyzing HR data.
  • Excellent communication and storytelling skills to effectively communicate data insights to both technical and non-technical stakeholders.
  • Strong organizational and time management skills to handle multiple projects and meet deadlines.
  • Ability to work independently and collaboratively in a team environment.
  • Continuous learning mindset to stay updated with HR data analysis trends, tools, and best practices.

Nice To Haves

  • Bachelor’s degree in HR, Data Science, Statistics, or a related field is advantageous.
  • HR certifications or additional training in data analysis or statistics is a plus.
  • Experience in the HR domain or working closely with HR stakeholders is preferred.

Responsibilities

  • Provides strategic and operational insights from analyzing employee data to providing actionable recommendations to leadership, e.g., identifying drivers of turnover and evaluating performance trends.
  • Collects, validates, analyzes, and interprets workforce data from HRIS, payroll, recruiting, benefits, and performance systems to track trends in recruiting, headcount, and engagement.
  • Develops and maintains HR dashboards and recurring reports to support data-driven decisions.
  • Leads or supports HR initiatives (e.g., system implementations, employee surveys, process improvements) from initiation through implementation.
  • Identifies project risks, tracks milestones, and manages documentation.
  • Provides confidential administrative assistance to VP HR Americas.
  • Manages executive calendars, coordinates meetings, prepares presentations, and drafts correspondence.
  • Audits HR data to ensure accuracy and consistency.
  • Identifies bottlenecks in HR workflows and recommends automated, data-driven solutions to improve efficiency.
  • Ensures compliance with data privacy regulations (e.g., GDPR, equal employment reporting).
  • Maintains confidential personnel records, employment contracts, and departmental forms.
  • Maintain absolute data integrity within HCM and ORC, ensuring the system of record reflects the region's operational structure.
  • Lead critical audits for Business Taxonomy, organizational and financial reporting alignment, drives cost code accuracy, and validate billable vs. non-billable salaried headcount.
  • Coordinate mass data uploads with HRIS for reorganizations or program shifts to ensure zero-loss transitions.
  • Review workforce plans for financial reasonability against regional budget targets.
  • Sync regional growth run rates with Talent Acquisition bandwidth to ensure hiring speed matches business needs.
  • Monitor budgeted inactive requisitions and incentive plan (VIP/OIP) tracking to prevent regional cost overruns.
  • Provide high-speed, deep-dive analysis on "emergency" queries—such as sudden attrition trends, regional labor cost spikes, or diversity metrics.
  • Act as the "investigator" to find the root cause of data discrepancies between HR, Finance, and TA.
  • Build "What If" models for the AMER HRVP to evaluate the impact of potential reorganizations or shifts in hiring strategy.
  • Surface performance and data outliers across the AMER HR team to drive a culture of precision.
  • Synthesize complex census and financial data into clean, executive-level decks and briefings for global leadership.
  • Collect and analyze HR data from various sources, including HRIS, employee surveys, performance evaluations, and other relevant systems.
  • Clean, transform, and validate HR data to ensure accuracy, consistency, and data integrity.
  • Use data analysis techniques to identify trends, patterns, correlations, and insights related to HR metrics and key performance indicators (KPIs).
  • Develop and maintain HR dashboards, reports, and visualizations to effectively communicate HR data and insights to stakeholders.
  • Conduct statistical analyses and predictive modelling to support HR initiatives and identify potential risks or opportunities.
  • Collaborate with HR stakeholders to understand data requirements and develop customized reports and analytics to meet their needs.
  • Provide HR data-driven insights and recommendations to support strategic decision-making and drive HR initiatives.
  • Monitor HR data to identify data anomalies, outliers, and data quality issues, and take corrective actions as necessary.
  • Stay updated with HR trends, industry benchmarks, and best practices to enhance HR data analysis capabilities.
  • Participate in HR projects and initiatives related to data analytics, including HR system implementations, process improvements, and automation.
  • Partner with the corporate HR Data and Insights and/or Finance teams to drive data accuracy and ensure alignment.
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