Level

Marsh McLennan

Client Relationship Management - Analyst

AI in this role

Company:

Marsh

Description:

About Marsh

Marsh is a global leader in insurance broking and risk advisory. Within our Employee Health & Benefits business, we help organizations design, place, and manage health and benefits programs that support employee wellbeing and help employers manage cost and risk.

The Role

We are seeking a Client Relationship Management Analyst to help strengthen client satisfaction and retention through excellent service support and data-driven insights. In this role, you will partner closely with relationship leaders and internal stakeholders to ensure client needs are met efficiently, proactively, and consistently.

This is a great opportunity for someone who enjoys a mix of client interaction, reporting/analytics, and continuous improvement in a fast-paced professional services environment.

Key Responsibilities

  • Client support: Act as a primary point of contact for client inquiries; coordinate timely resolution and ensure a strong client experience.
  • Client insights & analysis: Analyze client data and feedback to identify trends, insights, and improvement opportunities.
  • Reporting: Prepare and share periodic reporting on client satisfaction, account performance, and relationship health for leaders and stakeholders.
  • Cross-functional collaboration: Partner with internal teams (e.g., Sales, Marketing, Operations) to align solutions and service delivery with client needs.
  • Process improvement: Recommend and support enhancements to improve relationship management practices and operational efficiency.
  • CRM documentation: Maintain accurate, up-to-date records of interactions, feedback, and action items in the CRM system.
  • Market awareness: Monitor industry trends, competitor activity, and best practices to support planning and continuous improvement.

Required Qualifications & Experience

  • Bachelor’s degree (required).
  • 2–5 years’ experience in client relationship management, customer service, or an analytical client-facing role (experience in Employee Health & Benefits is strongly preferred).
  • Strong analytical and problem-solving skills; ability to translate data into actionable insights.
  • Excellent written and verbal communication skills, with a client-centric mindset.
  • Proficiency in CRM tools and Microsoft Office (Excel, PowerPoint, Word). Power BI knowledge is an advantage.
  • Strong organization, attention to detail, and ability to prioritize in a fast-paced environment.
  • Ability to work independently while collaborating effectively with multiple stakeholders.
  • Bahrani nationality is required

What We Offer

  • Competitive salary and benefits package.
  • Professional development and growth opportunities.
  • A collaborative, inclusive workplace that values diversity, innovation, and high performance.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.

Marsh 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.

How we rate this

Client Relationship Management - Analyst at Marsh McLennan rates 37 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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