Data Analyst at Boxer Superstores

Company:

Boxer Superstores

Boxer Superstores

Industry: Sales / Retail

Deadline: Not specified

Job Type: Full Time

Experience: 3 – 5 years

Location: KwaZulu-Natal

Province: Durban

Field: Data, Business Analysis and AI , ICT / Computer

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.



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