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company_site

Country HR Analytics Specialist

Nokia
USA
Full-time
Mid · 3+ years experience
Hybrid
Discovered 3 weeks ago
excelpower-bipythonsqltableau

Full Job Posting

Responsibilities

  • People Analytics & Workforce Insights
  • Analyze workforce data and HR metrics to identify trends, risks, and opportunities that inform business and talent strategies.
  • Develop dashboards, reports, and visualizations that provide meaningful insights to HR and business leaders.
  • Support workforce planning, organizational design, talent management, and employee retention initiatives through data analysis and predictive insights.
  • Translate complex data into clear recommendations that drive business outcomes and improve workforce effectiveness.
  • Establish and monitor key HR performance indicators and workforce metrics.
  • AI Transformation & Automation
  • Identify opportunities to improve HR processes through AI, automation, and digital innovation.
  • Partner with HR stakeholders to design and implement AI-enabled solutions that improve productivity, employee experience, and decision-making.
  • Evaluate emerging AI technologies and recommend practical use cases that align with business needs and HR priorities.
  • Support responsible AI adoption by promoting best practices in governance, compliance, and ethical use of employee data.
  • Measure and communicate the impact and effectiveness of AI-driven initiatives.
  • Employee Experience & HR Programs
  • Support initiatives that improve employee engagement, workplace culture, and employee experience.
  • Collaborate with HR teams on programs related to workforce transformation, organizational changes, rewards and recognition, and talent initiatives.
  • Contribute insights that help leaders understand employee trends, engagement levels, and organizational effectiveness.
  • Drive continuous improvement efforts by simplifying processes and enhancing service delivery through technology and data.
  • Data Governance & Operational Excellence
  • Ensure the accuracy, integrity, and consistency of HR data across systems and reporting platforms.
  • Support data governance practices, compliance requirements, and reporting standards.
  • Partner with cross-functional stakeholders to improve HR processes and drive operational excellence.
  • Maintain documentation, methodologies, and analytical frameworks that support scalable reporting and decision-making.
  • People Analytics & Workforce Insights • Analyze workforce data and HR metrics to identify trends, risks, and opportunities that inform business and talent strategies. • Develop dashboards, reports, and visualizations that provide meaningful insights to HR and business leaders. • Support workforce planning, organizational design, talent management, and employee retention initiatives through data analysis and predictive insights. • Translate complex data into clear recommendations that drive business outcomes and improve workforce effectiveness. • Establish and monitor key HR performance indicators and workforce metrics. AI Transformation & Automation • Identify opportunities to improve HR processes through AI, automation, and digital innovation. • Partner with HR stakeholders to design and implement AI-enabled solutions that improve productivity, employee experience, and decision-making. • Evaluate emerging AI technologies and recommend practical use cases that align with business needs and HR priorities. • Support responsible AI adoption by promoting best practices in governance, compliance, and ethical use of employee data. • Measure and communicate the impact and effectiveness of AI-driven initiatives. Employee Experience & HR Programs • Support initiatives that improve employee engagement, workplace culture, and employee experience. • Collaborate with HR teams on programs related to workforce transformation, organizational changes, rewards and recognition, and talent initiatives. • Contribute insights that help leaders understand employee trends, engagement levels, and organizational effectiveness. • Drive continuous improvement efforts by simplifying processes and enhancing service delivery through technology and data. Data Governance & Operational Excellence • Ensure the accuracy, integrity, and consistency of HR data across systems and reporting platforms. • Support data governance practices, compliance requirements, and reporting standards. • Partner with cross-functional stakeholders to improve HR processes and drive operational excellence. • Maintain documentation, methodologies, and analytical frameworks that support scalable reporting and decision-making.

Qualifications

  • Bachelor's degree in Human Resources, Business Analytics, Data Science, Statistics, Information Systems, or a related discipline.
  • 3+ years of experience in HR analytics, workforce planning, people analytics, business intelligence, or a related field.
  • Strong analytical and problem-solving skills with the ability to interpret complex datasets and translate findings into business recommendations.
  • Experience with HR systems, reporting tools, and data visualization platforms.
  • Advanced proficiency in Excel and experience working with large datasets.
  • Knowledge of data analysis techniques, statistical methods, and workforce metrics.
  • Demonstrated ability to communicate insights effectively to both technical and non-technical audiences.
  • Strong project management and stakeholder management capabilities.
  • Ability to manage multiple priorities in a fast-paced and evolving environment.
  • Proven track record of driving process improvements through analytics and technology.
  • It Would Be Nice If You Also Had
  • Experience implementing AI, machine learning, automation, or generative AI solutions in HR or business environments.
  • Experience with Power BI, Tableau, SQL, Python, R, or other analytics tools.
  • Knowledge of workforce planning methodologies and predictive analytics.
  • Experience supporting organizational transformation or change management initiatives.
  • Understanding of data governance, privacy, compliance, and responsible AI principles.
  • Experience within a global or matrixed organization.
  • Bachelor's degree in Human Resources, Business Analytics, Data Science, Statistics, Information Systems, or a related discipline. • 3+ years of experience in HR analytics, workforce planning, people analytics, business intelligence, or a related field. • Strong analytical and problem-solving skills with the ability to interpret complex datasets and translate findings into business recommendations. • Experience with HR systems, reporting tools, and data visualization platforms. • Advanced proficiency in Excel and experience working with large datasets. • Knowledge of data analysis techniques, statistical methods, and workforce metrics. • Demonstrated ability to communicate insights effectively to both technical and non-technical audiences. • Strong project management and stakeholder management capabilities. • Ability to manage multiple priorities in a fast-paced and evolving environment. • Proven track record of driving process improvements through analytics and technology. It Would Be Nice If You Also Had • Experience implementing AI, machine learning, automation, or generative AI solutions in HR or business environments. • Experience with Power BI, Tableau, SQL, Python, R, or other analytics tools. • Knowledge of workforce planning methodologies and predictive analytics. • Experience supporting organizational transformation or change management initiatives. • Understanding of data governance, privacy, compliance, and responsible AI principles. • Experience within a global or matrixed organization.

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