Reward & People Analytics Expert

Roland Berger, founded in 1967, is the only leading consultancy with German heritage and European origin. By joining Roland Berger, you choose an employer who has supported diversity of cultures, mentalities, and perspectives since its founding. We believe that great ideas and new perspectives are inspired by diverse teams from a variety of backgrounds. That's why we want you to be authentic, be yourself. Be the Original You. 

The Reward and People Analytics Expert plays a key role in developing and managing reward strategies and people analytics frameworks that enhance organizational performance and employee engagement. This position combines expertise in compensation and benefits with data-driven insights to support informed decision-making across the business. 

The ideal candidate will bring consulting experience, a solid understanding of regional market dynamics, and the ability to translate analytics into meaningful and actionable workforce and reward strategies. 

Key Responsibilities 

Reward Strategy & Design 

• Develop and manage competitive reward frameworks that align with organizational goals, market benchmarks, and regional regulations. 

• Design and implement compensation structures, grading systems, and incentive plans to help attract and retain top talent. 

• Lead the annual compensation review, salary benchmarking, and bonus cycle processes. 

• Partner with business leaders to ensure both internal equity and external competitiveness across multiple geographies. 

• Oversee the benefits strategy — including health, retirement, and recognition programs — ensuring these align with the employee value proposition and comply with local requirements. 

People Analytics & Insights 

• Build and strengthen the organization’s people analytics capability to enable data-driven HR and business decisions. 

• Develop and maintain HR dashboards and reports covering key workforce metrics (e.g., headcount, turnover, DEI, performance, productivity). 

• Analyze workforce trends and model future scenarios to inform decisions on talent, rewards, and workforce planning. 

• Provide insights on the effectiveness of HR programs, policies, and reward initiatives through statistical and predictive analysis. 

• Partner with Finance, Strategy, and HRBPs to connect people data to business outcomes and drive strategic decisions. 

Stakeholder Management 

• Act as a trusted advisor to business and HR leaders on reward and workforce insights. 

• Lead or contribute to HR transformation initiatives such as job architecture, pay transparency, or analytics capability development. 

• Translate complex data and compensation concepts into clear, practical recommendations for senior stakeholders. 

• Manage relationships with external partners, including survey providers, reward consultants, and other vendors. 

Governance & Compliance 

• Ensure all reward and analytics practices comply with relevant labor laws, data privacy standards, and internal policies. 

• Support audits and risk reviews related to compensation and people data, ensuring accuracy and compliance. 

• Bachelor’s degree in Business, HR, Economics, Statistics, or a related field; a Master’s degree is preferred. 

• 5– 8 years of experience in Reward, HR Analytics, or related areas, ideally with consulting exposure (Big Four or similar). 

• Proven experience designing and implementing compensation frameworks and analytics solutions across multi-country Middle Eastern contexts. 

• Strong knowledge of market trends, reward regulations, and labor laws within the GCC. 

• Proficiency in Excel, Power BI/Tableau, and HRIS systems such as SAP SuccessFactors or Workday. 

• Advanced analytical and problem-solving skills; experience with statistical modeling is an advantage. 

• Strong stakeholder management and influencing skills, particularly when working with senior executives. 

• Ability to balance strategic thinking with effective operational delivery. 

Competencies 

• Strategic and analytical mindset 

• Commercial and financial acumen 

• High level of data literacy and storytelling ability 

• Clear and consultative communication and presentation skills 

• Integrity, discretion, and sound judgment 

• Agility and adaptability in a fast-evolving environment