About the Course
The modern HR function is under immense pressure to demonstrate its value through hard data rather than anecdotal evidence. This course addresses the core challenge of the field: turning fragmented employee records into a structured system for decision-making. You will develop the capability to demonstrate five critical domain competencies: data storytelling for executive buy-in, predictive turnover modeling, recruitment funnel optimization, pay equity regression analysis, and strategic workforce alignment. By grounding our curriculum in the SHRM® Competency Model and the CIPD® Profession Map, we ensure that every analytical technique you learn is directly applicable to global professional standards. You will be introduced to advanced concepts like machine learning in talent acquisition while spending significant hands-on time practicing data cleaning, visualization, and statistical interpretation.
HR Data Analytics involves the collection, analysis, and reporting of HR data to improve individual and organizational performance. Professionals use it to identify talent gaps, reduce flight risk among high-performers, and justify HR budgets through Return on Investment (ROI) calculations. This 10-day journey is specifically designed for practitioners who must deliver results under constraints such as data silos, privacy regulations like GDPR, and varying levels of digital maturity across the organization. We move from foundational descriptive analytics to intermediate-level diagnostic and predictive techniques, ensuring you leave with a robust toolkit of templates, scripts, and frameworks that can be implemented immediately upon your return to work.
Target Audience
This program is essential for professionals who need to quantify the impact of human capital on organizational performance and lead data-driven HR transformations.
This course is designed for:
- HR Business Partners seeking to enhance strategic influence
- People Analytics Managers responsible for workforce reporting
- Talent Acquisition Specialists optimizing recruitment marketing spend
- Compensation and Benefits Analysts conducting pay equity audits
- HR Operations Managers streamlining employee lifecycle data
- Chief People Officers requiring data-backed executive reporting
- Workforce Planning Coordinators forecasting future talent requirements
- Diversity and Inclusion Officers measuring DEI program efficacy
- Learning and Development Specialists calculating training ROI
- HR Generalists transitioning into specialized analytical roles
Course Objectives
This course equips you to design, execute, and report HR Data Analytics initiatives that improve retention, ensure compliance, and drive strategic growth.
By the end of this course, you'll be able to:
- Assess organizational data maturity using the Bersin Analytics Maturity Model
- Apply ISO 30414 standards to standardize human capital reporting
- Build automated HR dashboards using Power BI® or Tableau® software
- Calculate Employee Lifetime Value (ELV) to prioritize talent investments
- Construct predictive turnover models to identify high-risk flight segments
- Navigate data privacy requirements including GDPR and global equivalents
- Measure the financial impact of HR initiatives using ROI frameworks
- Synthesize complex workforce data into compelling executive-level narratives
Requirements & Prerequisites
Participants should have a foundational understanding of HR processes and basic proficiency in Microsoft Excel®, including the use of pivot tables and basic formulas. No prior programming experience is required.
Professional and Organizational Impact
When you lead HR Data Analytics with credible data and practical strategies, you become a trusted driver of organizational value and career growth.
As a professional, you will benefit by:
- Build technical proficiency in advanced data visualization tools
- Gain confidence in presenting data-backed cases to leadership
- Strengthen your ability to link HR activities to financial outcomes
- Enhance your professional marketability in the People Analytics domain
- Develop a systematic approach to solving complex workforce challenges
- Position yourself as a data-literate strategic business partner
- Expand your toolkit with reusable HR analytical templates
Organizations that embed HR Data Analytics excellence into operational context reduce costs, mitigate risks, and build lasting competitive advantage.
Your organization will benefit from:
- Reduce recruitment costs through optimized talent sourcing channels
- Mitigate legal risks via proactive pay equity analysis
- Improve retention by identifying and addressing turnover drivers
- Enhance workforce productivity through data-driven performance management
- Optimize labor costs using accurate workforce demand forecasting
- Strengthen employer branding through evidence-based DEI reporting
- Increase HR efficiency by automating routine reporting tasks
Training Methodology
This is a practical, outcome-driven course designed to turn HR Data Analytics aspiration into measurable action and credible reporting.
Methodology includes:
- Hands-on calculation of turnover rates using real-world HR datasets
- Scenario simulation requiring retention interventions under budget constraints
- Audit of existing HR metrics against ISO 30414 standards
- Stakeholder mapping exercise for cross-functional data governance alignment
- Case study analysis from technology, healthcare, and manufacturing sectors
- Group workshop building a functional recruitment funnel dashboard
- Reflection exercise benchmarking current HR capabilities against industry leaders
Upcoming Sessions
Next available dates worldwide
Certification
Recognized credentials that advance your career
Participants who complete the Data Analytics for Human Resources (HR) Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.
NITA Accredited
Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.
CPD Certified
Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.
Why this course earns its place on your CV
Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.
Skills Relevance
- Master HR analytics tools to predict and enhance workforce performance.
- Transform HR data into actionable insights to drive strategic decisions.
- Leverage cutting-edge analytics techniques specific to HR challenges.
Expert Delivery
- Learn from leading HR analytics experts with real-world experience.
- Courses designed by top HR professionals to ensure industry relevance.
- Benefit from personalized feedback on real-life HR data projects.
Career Advancement
- Boost your HR career with in-demand analytics skills.
- Gain a competitive edge with a certification in HR Data Analytics.
- Equip yourself with the skills to lead HR transformation initiatives.
Industry Tools and Platforms Featured in this Training
The platforms and vendors Finland teams are running today — taught against real configurations, not generic vendor demos.
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Sympa HR Sympa OyFinnish organizations use Sympa HR as a cloud-based HR system that centralizes employee data and provides reporting and analytics capabilities, which can be connected to BI tools for deeper people analytics.
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Mepco HRM Visma Enterprise OyMepco HRM is widely used in Finland for payroll and human resources management, and its structured HR and payroll data can be exported for analysis in tools like Power BI to support HR data analytics.
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Power BI Microsoft CorporationPower BI is commonly adopted by Finnish companies to visualize and analyze HR metrics, build interactive people analytics dashboards, and share insights with HR and business stakeholders.
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Tableau Tableau Software, LLC (a Salesforce company)Tableau is used in Finland to create advanced visual analytics, enabling HR teams to explore workforce trends, segment employees, and present people analytics findings to management.
