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Manager, EH&B Data Analytics & Reporting, Marsh Arabia

Mercer

Saudi Arabia

Hybrid

SAR 150,000 - 200,000

Full time

Today
Be an early applicant

Job summary

A leading global consulting firm in Riyadh is looking for an individual to join their Analytics & Advisory team. This hybrid position focuses on managing actuarial and quantitative analysis projects, delivering claims reports, and presenting findings to clients. Candidates should have a strong background in actuarial science, proficiency in Excel and PowerBI, and excellent communication skills. Opportunities for professional development and a supportive culture are offered.

Benefits

Professional development opportunities
Inclusive company culture
Variety of career opportunities

Qualifications

  • Strong background in actuarial science or quantitative analysis.
  • Proficiency in data analysis and modeling using Excel and PowerBI.
  • Excellent communication skills for client engagement.

Responsibilities

  • Manage actuarial and quantitative analysis projects.
  • Deliver claims analysis reports under tight deadlines.
  • Present findings and propose solutions to clients.
  • Conduct peer reviews of junior staff's analyses.

Skills

Actuarial science
Quantitative analysis
Excel
PowerBI
Communication skills

Education

Degree in actuarial science or related field

Tools

Excel
PowerBI
Job description

We are seeking a talented individual to join our Analytics & Advisory team at Marsh. This role will be based in Riyadh. This is a hybrid role that requires working at least three days a week in the office.

In this position, you will manage actuarial and quantitative analysis projects, collaborating with both junior and senior staff to model and forecast risk and financial impact. You will play a key role in delivering regular claims analysis reports and presenting findings to clients, ensuring high-quality standards throughout the process.

We will count on you to:

  • Manage basic actuarial and quantitative analysis projects, guiding junior staff and collaborating on complex projects.
  • Deliver regular claims analysis reports in line with cyclical commitments, often under tight deadlines.
  • Present final reports and propose solutions to clients, incorporating input from senior staff.
  • Conduct peer reviews of junior staff analyses to ensure adherence to established standards and quality control.
  • Perform data analysis on complex projects using Excel or PowerBI, customizing models based on client needs and regulations.
  • Develop intellectual capital by researching regulatory requirements and updating modeling templates to enhance company offerings.

What you need to have:

  • A strong background in actuarial science, quantitative analysis, or a related field.
  • Proficiency in Excel and PowerBI, with experience in data analysis and modeling.
  • Excellent communication skills for client engagement and presentation of findings.

What makes you stand out?

  • Experience in the Employee Health & Benefits (EH&B) sector or similar analytics and advisory services.
  • Familiarity with industry benchmarking and regulatory requirements.
  • A proactive approach to identifying business growth opportunities and networking within the industry.

Why join our team:

  • We help you be your best through professional development opportunities, interesting work, and supportive leaders.
  • We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have an impact on colleagues, clients, and communities.
  • Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, skin color, or any other characteristic protected by applicable law.

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