HR Data Analyst, Talent Analytics
LivaNova, Chicago, IL, United States
$90,000 - $106,000 + discretionary annual bonus. Pay ranges may vary by location.
401(k)
Position Summary
The HR Data Analyst, Talent Analytics will carry out the overall strategy for employee data at LivaNova to support data-driven decision-making regarding workforce productivity, engagement, and better returns from recruitment and learning investments in the company.
Key Responsibilities
Compile, structure, and analyze data from HRIS, payroll and finance systems to develop insights 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, and factors that could affect research results.
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.
Continuously analyze competitor practices to make appropriate recommendations to upper management.
Partner with HR leaders to design research plans, develop hypotheses, collect data, and run 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 HR service areas to promote data governance and improve strategic and operational performance.
Work with the HR business partner for organizational development to achieve meaningful discussions regarding data outputs and feedback on usage activities.
Educate the HR team on analytical findings and general data management best practices.
Interact with professional and community groups related to analytics and business intelligence to stay ahead of the curve.
Essential Knowledge & Experience
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 include courses in data mining, data-driven quality management, analytical decision modeling and provide hands‑on experience with statistics, data analytics, data visualization (QLIK, Tableau or ggplot2), business intelligence, reporting, and software experience with R or Python.
Understanding of differences and use cases for interpretable vs. black-box models.
Pay Transparency
A reasonable estimate of the annual base salary for this position is $90,000 - $106,000 + discretionary annual bonus. Pay ranges may vary by location.
Employee Benefits
Health benefits – Medical, Dental, Vision
Personal and vacation time
Retirement & savings plan (401K)
Employee stock purchase plan
Training & education assistance
Bonus referral program
Service awards
Employee recognition program
Flexible work schedules
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401(k)
Position Summary
The HR Data Analyst, Talent Analytics will carry out the overall strategy for employee data at LivaNova to support data-driven decision-making regarding workforce productivity, engagement, and better returns from recruitment and learning investments in the company.
Key Responsibilities
Compile, structure, and analyze data from HRIS, payroll and finance systems to develop insights 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, and factors that could affect research results.
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.
Continuously analyze competitor practices to make appropriate recommendations to upper management.
Partner with HR leaders to design research plans, develop hypotheses, collect data, and run 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 HR service areas to promote data governance and improve strategic and operational performance.
Work with the HR business partner for organizational development to achieve meaningful discussions regarding data outputs and feedback on usage activities.
Educate the HR team on analytical findings and general data management best practices.
Interact with professional and community groups related to analytics and business intelligence to stay ahead of the curve.
Essential Knowledge & Experience
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 include courses in data mining, data-driven quality management, analytical decision modeling and provide hands‑on experience with statistics, data analytics, data visualization (QLIK, Tableau or ggplot2), business intelligence, reporting, and software experience with R or Python.
Understanding of differences and use cases for interpretable vs. black-box models.
Pay Transparency
A reasonable estimate of the annual base salary for this position is $90,000 - $106,000 + discretionary annual bonus. Pay ranges may vary by location.
Employee Benefits
Health benefits – Medical, Dental, Vision
Personal and vacation time
Retirement & savings plan (401K)
Employee stock purchase plan
Training & education assistance
Bonus referral program
Service awards
Employee recognition program
Flexible work schedules
#J-18808-Ljbffr