Data Analyst needed at Boxer Superstores

Job Advert Summary    

• Are you passionate about turning data into actionable insights that drive business success? Do you enjoy working in an HR environment where your analysis can make a real impact on people’s lives? We’re looking for a talented Data Analyst to join our team and help us unlock the full potential of our HR data. As a key player in our organization, you’ll have the opportunity to work on exciting projects, collaborate with cross-functional teams, and contribute to data-driven decision-making that shapes the future of our talent management strategy.

Minimum Requirements    

• Bachelor’s degree in Quantitative, Statistics, Mathematics, or related field
• Minimum of 3-5 years of experience in an HR environment with a focus on data analytics and reward management
• Proven experience in data analysis, statistical modeling, and data visualization
• Strong understanding of HR metrics, key performance indicators (KPIs), and reward analytics
• Proficiency in HR systems, databases, and data tools, such as Excel, SQL, Tableau, and Power BI
• Strong analytical, problem-solving, and communication skills
• Ability to interpret complex data insights and present findings to various stakeholders
• Experience working with HR data, such as employee data, compensation, and benefits

Duties and Responsibilities    

• Analyze complex HR data to identify trends, develop insights, and inform business decisions.
• Design, implement, and maintain databases, reports, and analytics tools to support the Reward and Analytics department.
• Collaborate with HR stakeholders to understand data requirements and develop analytics solutions to meet their needs.
• Prepare and present data-driven reports, dashboards, and insights to senior management and other stakeholders.
• Develop and maintain data visualizations, reports, and other analytics tools to inform HR strategies and initiatives.
• Ensure data integrity, quality, and security, and implement data governance policies and procedures.
• Stay up-to-date with industry trends, best practices, and emerging technologies in HR analytics.
• Develop and maintain dashboards to track key performance indicators (KPIs) across different HR initiatives.
• Conduct ad-hoc analysis and provide data-driven insights to support HR initiatives and programs.
• Develop analytics solutions to inform reward strategies and optimize employee recognition and retention programs.
• Collaborate with cross-functional teams, including HR operations, talent management, and compensation, to integrate data analytics into HR programs and processes.