People Analytics Analyst — HR Foundations
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What you'll learn:
Understanding the Strategic Imperative - **Description:** Delve into the core principles of HR analytics and its strategic role within an organization. Focus on the connection between HR data and business outcomes. This includes understanding HR's contribution to business strategy and how to translate business objectives into HR analytics goals. Explore different HR models (e.g., Ulrich Model, HR Business Partner Model) and how analytics supports them. - **Resources/Activities:** - **Expected Outcomes:** Develop a strong understanding of the strategic importance of HR analytics and the ability to connect HR metrics to business strategy.
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What you'll learn:
Mastering HR Data Landscape & Ethical Considerations - **Description:** Examine various data sources available within HR (e.g., HRIS, payroll systems, performance management systems, learning management systems, applicant tracking systems, engagement survey platforms). Focus on data quality, data integrity, and data governance. Deep dive into data privacy regulations (GDPR, CCPA, etc.) and ethical considerations in HR analytics. Understand how to build data governance frameworks. - **Resources/Activities:** - **Expected Outcomes:** Gain proficiency in understanding HR data sources, data governance principles, and data privacy regulations, along with the ability to establish data governance frameworks.
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What you'll learn:
Building a Metrics Toolkit & Presenting Insights - **Description:** Learn how to define, calculate, and interpret key HR metrics. Cover workforce demographics, turnover, cost per hire, time to fill, performance, training effectiveness, employee engagement, and compensation. Explore best practices for creating dashboards and reports using data visualization tools. Focus on effective communication of HR insights. - **Resources/Activities:** - **Expected Outcomes:** Become proficient in defining, calculating, and interpreting key HR metrics, and in creating effective HR dashboards and reports.
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What you'll learn:
Statistical Methods & Analytical Techniques - **Description:** Strengthen the fundamental statistical knowledge required for HR analytics: descriptive statistics (mean, median, mode, standard deviation), inferential statistics (t-tests, ANOVA, chi-square), and correlation and regression analysis. Learn how to identify the appropriate statistical method for different HR questions and data types. - **Resources/Activities:** - **Expected Outcomes:** Develop a solid understanding of statistical concepts and methods relevant to HR analytics, and the ability to apply them in data analysis.
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What you'll learn:
Forecasting Workforce Trends & Analyzing Employee Behavior - **Description:** Introduction to more advanced analytical techniques, including predictive modeling, such as regression analysis, time series analysis, and survival analysis. Explore how to build predictive models for employee turnover, performance, and other HR outcomes. Introduce the concepts of machine learning (e.g., classification, clustering) applied to HR. - **Resources/Activities:** - **Expected Outcomes:** Gain an understanding of advanced analytical techniques, especially predictive modeling, and their application to solve HR challenges.
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What you'll learn:
Optimizing the Hiring Process & Improving Talent Pipeline - **Description:** Focus specifically on talent acquisition analytics. Learn how to track and analyze metrics related to recruitment, sourcing, and onboarding. Discuss how to optimize the hiring process through data-driven insights. Explore the impact of analytics on employer branding. - **Resources/Activities:** - **Expected Outcomes:** Gain a deep understanding of talent acquisition metrics and how to use data to optimize recruitment processes and talent pipelines.
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What you'll learn:
Measuring Employee Impact & Understanding People Dynamics - **Description:** Focus specifically on Employee Development & Engagement through data. Learn how to leverage data to track training effectiveness, performance management, employee surveys, and engagement metrics. Discuss how to identify the drivers of engagement and build strategies to increase employee performance. - **Resources/Activities:** - **Expected Outcomes:** Gain a deep understanding of employee development, engagement metrics, and how to use data to optimize processes.
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