Description:
Creating connections between people-related data and critical business metrics, providing actionable insights that guide strategic decision-making and operational plans.
Role Accountabilities
- Proactively analyse HR data to identify potential issues, trends, and opportunities for improvement in areas such as employee turnover, engagement, performance, and recruitment.
- Develop and implement predictive models and analytical frameworks to forecast HR challenges and support proactive decision-making, creating data-driven HR strategies and initiatives that align with organisational goals..
- Conduct in-depth analysis of HR data using statistical techniques and data analysis tools to understand root causes of HR issues and provide actionable insights.
- Design, develop, and maintain interactive HR dashboards and reports that provide clear and concise visualisations of key HR metrics and trends for HR leadership.
- Collaborate with People Partners, other HR functions and the business to understand data needs and provide analytical support for strategic initiatives.
- Present data findings and recommendations to HR leaders in a clear and compelling manner, translating complex data into easily understandable insights.
- Ensure the accuracy, integrity, and security of HR data, adhering to data privacy regulations.
- Stay updated with the latest trends and best practices in HR analytics and data science.
- Oversee and report on Great Place to Work Accreditation and any other external surveys conducted
- Support ad-hoc data analysis requests and projects as needed.
Role Requirements
- Proven experience as an HR Data Analyst, People Analytics Analyst, Workforce Analyst, or similar role.
- Strong proficiency in data analysis tools, including advanced skills in Microsoft Excel (e.g., PivotTables, VLOOKUP, macros).
- Experience with SQL for data querying and manipulation.
- Experience with data visualisation tools such as Tableau or Power BI.
- Solid understanding of statistical analysis techniques and their application to HR data.
- Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical audiences.
- Strong analytical and problem-solving abilities.
- Good understanding of HR processes, metrics, and KPIs.
- Ability to work independently and as part of a team.
- Strong attention to detail and commitment to data accuracy.
Desired qualifications
- Bachelor's degree in Human Resources, Business Analytics, Statistics, Data Science, or a related field.
- Experience with HRIS systems, ideally Salesforce and Sage.
- Familiarity with statistical programming languages such as R or Python.
- Experience in developing and implementing predictive HR models.
- Knowledge of data privacy regulations (e.g., GDPR)