This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
As a global medtech company, we are driven by our Vision of changing the trajectory of lives for a new day and our Mission to create ingenious solutions that ignite patient turnarounds. Our relentless commitment to patients and strong legacy of innovation in healthcare are the foundation of our future. If you're looking for a new chance, a new beginning, a new trajectory, LivaNova is where your talent can truly thrive. Join our talented team members worldwide to become a pioneer of tomorrow—because at LivaNova, we don’t just treat conditions — we aspire to alter the course of lives. POSITION SUMMARY: The HR Data Analyst, Talent Analytics will carry out overall strategy for employee data at LivaNova to support the need for data-driven decision-making regarding workforce productivity, engagement and better returns from recruitment and learning investments in the company.
Job Responsibility:
Compile, structure, and analyze data from HRIS, payroll and Finance systems to develop insights and conclusions that help streamline HR processes throughout the company
Work with the full data analysis pipeline including data cleaning, process documentation, and communicating results via report writing and visualization
Participate actively in HR Business Intelligence including project intake, visualization tools, quality assurance, and storytelling. Interpret employee data to identify significant differences, relationships, and trends in data, as well as factors that could affect the results of research
Identify statistical analysis techniques required to deliver insights
Advance the use of complex analytical techniques and statistical thinking
Design and implement data models using statistical principles (e.g., regression, correlation) and develop predictive models for attrition, performance, and recruiting demand
Produce concise, story-driven presentations to communicate analytic insights
Collect and share information on government labor statistics and external benchmarks
Continually analyze competitor practices to make appropriate recommendations to upper management
Partner with HR leaders to design research plans, develop hypotheses, collect data, and run various statistical models
Help recruiters by providing relevant data, statistics, trends, and patterns to make the recruiting process more efficient
Collaborate with subject matter experts across the HR service areas (e.g. Talent Development, Total Rewards and Talent Acquisition), as well as HR leadership, to promote data governance and stewardship, and to improve overall strategic and operational performance and insight
Work with the HR business partner for organizational development (e.g. organization levels, structure, teams, span of control) and partner with colleagues and customers to achieve meaningful discussions regarding data outputs and feedback on usage activities to improve HR output
Educate the HR team on analytical findings, general data and data management best practices
Interact with professional and community groups related to analytics and business intelligence and maintain strong internal and external networks of peers to stay always ahead of the curve
Requirements:
Master’s degree in Data Science, Computer Science, Business Analytics or closely related field
1 year of experience as a Human Resources Analyst or HR Data Analyst
The Master’s degree program must have included courses in Data Mining, Data-Driven Quality Management, Analytical Decision Modeling and provided technical hands-on experience with statistics, data analytics, data visualization (QLIK, Tableau or ggplot2), business intelligence, reporting and software experience with R or Python, a range of data types of various structures and sizes, and an understanding of the differences and use cases for interpretable vs. black box models