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Talent Analytics Jobs (NOW HIRING)

... 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 ...

... 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 ...

HR Data Analyst, Talent Analytics

OR ยท Remote

$90K - $106K/yr

... 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 ...

Establish divisional talent analytics visibility (bench strength, readiness, mobility, capability), aligned to regional standards. * Represent the Consumer division in enterprise and regional talent ...

The Talent Analyst plays a key role in developing and sharing analyses and insights across the network of HR, talent and business leaders across our platforms, regions and operating companies ...

The Talent Analyst plays a key role in developing and sharing analyses and insights across the network of HR, talent and business leaders across our platforms, regions and operating companies ...

The Talent Analyst plays a key role in developing and sharing analyses and insights across the network of HR, talent and business leaders across our platforms, regions and operating companies ...

The Talent Analyst plays a key role in developing and sharing analyses and insights across the network of HR, talent and business leaders across our platforms, regions and operating companies ...

The Talent Analyst plays a key role in developing and sharing analyses and insights across the network of HR, talent and business leaders across our platforms, regions and operating companies ...

The Talent Analyst plays a key role in developing and sharing analyses and insights across the network of HR, talent and business leaders across our platforms, regions and operating companies ...

The Talent Analyst plays a key role in developing and sharing analyses and insights across the network of HR, talent and business leaders across our platforms, regions and operating companies ...

The Talent Analyst plays a key role in developing and sharing analyses and insights across the network of HR, talent and business leaders across our platforms, regions and operating companies ...

The Talent Analyst plays a key role in developing and sharing analyses and insights across the network of HR, talent and business leaders across our platforms, regions and operating companies ...

The Talent Analyst plays a key role in developing and sharing analyses and insights across the network of HR, talent and business leaders across our platforms, regions and operating companies ...

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How much do talent analytics jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for talent analytics in the United States is $40.14, according to ZipRecruiter salary data. Most workers in this role earn between $36.06 and $41.59 per hour, depending on experience, location, and employer.

What is talent analytics?

Talent analytics is the process of collecting, analyzing, and interpreting data related to a company's workforce in order to make better human resource decisions. It involves using data-driven insights to optimize hiring, employee performance, retention, and workforce planning. By leveraging tools and technologies such as HR analytics software, organizations can identify patterns and trends that help improve talent management strategies and business outcomes.

What are some typical challenges faced by professionals in Talent Analytics, and how can they be addressed?

Professionals in Talent Analytics often encounter challenges such as integrating data from multiple HR systems, ensuring data accuracy, and translating complex analytics into actionable insights for stakeholders. Overcoming these challenges usually involves close collaboration with IT and HR teams, ongoing data validation, and developing strong communication skills to present findings in an accessible way. Staying current with analytics tools and industry trends also helps address evolving business needs and enhances your impact within the organization.

What are the key skills and qualifications needed to thrive in Talent Analytics, and why are they important?

To thrive in Talent Analytics, you need strong analytical skills, HR knowledge, and a background in statistics or data science, often supported by a relevant degree. Familiarity with HRIS platforms, data visualization tools (like Tableau or Power BI), and advanced Excel or programming languages such as Python or R is typically required. Strong communication, problem-solving abilities, and business acumen are important soft skills for translating data insights into actionable HR strategies. These capabilities are crucial for driving data-driven decision-making and optimizing workforce management within organizations.

What is the difference between Talent Analytics vs HR Analyst?

AspectTalent AnalyticsHR Analyst
Primary FocusData-driven talent strategies, workforce planning, predictive analyticsEmployee data management, HR operations, reporting
Skills RequiredData analysis, statistics, HR knowledge, visualization toolsHR policies, data entry, basic reporting
Work EnvironmentStrategic, analytics teams, HR departmentsHR departments, administrative settings
CertificationsAnalytics, HR certifications (e.g., SHRM-CP, PHR)HR certifications, administrative skills

While both roles involve working with employee data, Talent Analytics focuses on strategic, predictive insights to improve talent management, whereas HR Analysts handle operational HR tasks and reporting. Talent Analytics professionals typically require stronger analytical skills and a focus on data-driven decision-making, making their roles more strategic in nature.

More about Talent Analytics jobs
What cities are hiring for Talent Analytics jobs? Cities with the most Talent Analytics job openings:
What states have the most Talent Analytics jobs? States with the most job openings for Talent Analytics jobs include:
Infographic showing various Talent Analytics job openings in the United States as of May 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $83,499 per year, or $40.1 per hour.

HR Data Analyst, Talent Analytics

LivaNova

Houston, TX โ€ข Remote

$90K - $106K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

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.

KEY RESPONSIBILITIES:

  • 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. Similar for talent development, total rewards and employee experience (e.g. retention) practices.

  • 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.

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 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.

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 include:

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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