Hr Data Analyst

I am exclusively working with a client within the public sector who is seeking a HR Data Analyst to join our team and help them leverage data to improve their human resources processes and outcomes. As a HR Data Analyst, you will be responsible for collecting, cleaning, analysing, and reporting on various HR-related data sets, such as employee engagement, performance, retention, diversity, and compensation. You will also collaborate with other HR professionals and stakeholders to provide data-driven insights and recommendations that support their strategic goals and initiatives.

**6 Month Minimum Contract - Working 37.5 hours a week - You will be required to attend site for induction and to attend a monthly team meetings**

Responsibilities:

• Design, develop, and maintain HR dashboards and reports that provide relevant and timely information to HR and business leaders.
• Perform statistical analysis and data mining on HR data to identify trends, patterns, correlations, and causal relationships.
• Conduct research and benchmarking on best practices and industry standards for HR metrics and analytics.
• Provide data-driven insights and recommendations to support HR decision making and problem solving.
• Communicate complex data findings and results in a clear and concise manner to various audiences.
• Ensure data quality, accuracy, and integrity by following data governance standards and procedures.
• Identify and implement opportunities for data automation, integration, and optimization.

Requirements:

• Bachelor’s degree in human resources, statistics, mathematics, computer science, or related field.
• Minimum of 3 years of experience in HR analytics or related field.
• Proficient in using data analysis tools and software, such as Excel, Power BI, SQL, R, Python, etc.
• Knowledge of HR processes, policies, and best practices.
• Strong analytical, critical thinking, and problem-solving skills.
• Excellent communication, presentation, and interpersonal skills.
• Ability to work independently and collaboratively in a fast-paced environment.

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