Proficient, People Analytics (16075)

Role Purpose:

Serve as an expert in collecting, analyzing, and interpreting people data to provide actionable insights for workforce management decisions. Support the design and implementation of data-driven strategies that enhance employee engagement, performance, and overall talent management. Leverage advanced analytics to identify trends, optimize people processes, and guide decision-making across Omantel.

Position Information:

Title: Proficient, Digital Experience

• Unit: People Unit
• Division: People Experience
• Location: HQ
• Grade: P5

Minimum role requirements:

• Qualification: Bachelor in relevant field
• Experience: A minimum of 7 years of experience

Key Accountabilities:

• Utilize analytics tools to support data-driven decisions on employee recruitment, retention, performance, and engagement.
• Work closely with HR teams and other departments to align people analytics initiatives with broader organizational goals.
• Stay updated with the latest trends and best practices in people analytics to enhance the organization’s data-driven approach to talent management.
• Develop and maintain data dashboards to support business units with real-time insights for informed decision-making.
• Collect and analyze data from various sources, including HRMS systems, employee surveys, and performance evaluations, to provide meaningful insights.
• Contribute to the design and execution of people analytics strategies, ensuring alignment with organizational goals and employee experience improvements.
• Identify areas where analytics can improve people processes, and collaborate with relevant departments to implement data-driven improvements.
• Prepare and deliver accurate and timely reports on people metrics to internal stakeholders, supporting strategic planning and performance management.
• Effectively communicate data-driven insights and recommendations to business leaders, helping to shape talent management and workforce strategies.
• Analyze trends and patterns in employee data to inform workforce planning and policy decisions.
• Use statistical modeling techniques to predict HR trends and outcomes

Key Competencies:

Behavioral:

• Drives achievement
• Self-Development
• Creativity and Innovation
• Analytical thinking and Problem-Solving
• Ethics and Compliance

Professional:

• Optimizing Business Processes
• Soft Aware

Technical:

• Data Analysis
• Data Science