Full-Time

Entry-level Data Analyst

Excel, Power BI

Posted on 8/10/2026

Marsh

Marsh

10,001+ employees

Global insurance brokerage and risk advisory

No salary listed

Norwich, UK

Hybrid

At least three days per week in the office.

Bachelor's

Category
Data & Analytics (1)
Required Skills
Power BI
Python
SQL
Data Analysis
Excel/Numbers/Sheets

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Requirements
  • A good level of education in computing or data-related subjects or qualifications.
  • Advanced Microsoft Excel skills.
  • A keen interest in numerical tasks and projects.
  • Excellent attention to detail.
  • Good verbal and written communication skills.
  • Confidence working with a range of internal stakeholders and building trusted working relationships.
  • A continuous improvement mindset.
Responsibilities
  • Merge and consolidate complex data from a variety of sources.
  • Produce claims data summaries and insights using standard reporting templates or bespoke data analysis agreed with the client servicing team.
  • Analyse performance trends and anomalies within clients' claims histories.
  • Contribute to service-level agreements, key performance indicators, and business objectives by providing claims reports and other standard or bespoke claims data services.
  • Build business relationships and engage with Claims Executives, Client Executives, and Operational Risk Consultants to represent the team and identify future opportunities.
  • Focus on bespoke reporting, including presenting to clients when required.
  • Find more efficient ways to complete work and develop new solutions to support the business and clients.
  • Consider the commerciality of the work and identify ways to improve efficiency.
  • Engage with Analytics and Risk Consulting teams on efficiency gains and automation.
  • Maintain technical skills.
Desired Qualifications
  • Previous experience in claims or broader insurance.
  • Knowledge or use of Power BI, SQL queries, or Python.

Marsh is a diversified professional services firm that helps clients manage risk, secure insurance, and design risk-transfer programs. Its core work combines risk advisory with insurance brokerage, acting as a buyer of coverage and placing policies across multiple underwriters. It includes Mercer (HR consulting), Guy Carpenter (reinsurance brokerage), and Oliver Wyman (management consulting) under a holding structure. Its goal is to lower clients' financial risk and total cost of risk by combining risk transfer with advisory and consulting services across insurance, reinsurance, HR, and business strategy.

Company Size

10,001+

Company Stage

Seed

Total Funding

$110K

Headquarters

New York City, New York

Founded

1871

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Simplify Jobs

Simplify's Take

What believers are saying

  • Q1 2026 consulting revenue grew 11%, led by Mercer and Marsh Management Consulting.
  • Mitsubishi's November 2025 transfer expands Marsh Japan's captive access and local client relationships.
  • Thrive launched in 2025 targets efficiency, and Q1 2026 booked only $45 million costs.

What critics are saying

  • Q1 2026 booked a $425 million Greensill charge; Australia trial is scheduled for September 2026.
  • Guy Carpenter organic growth slowed to 2%, missing estimates and exposing reinsurance pricing pressure.
  • Patriot's June 2026 raid on MMA's Birmingham surety team shows client attrition risk.

What makes Marsh unique

  • Marsh's January 2026 rebrand sharpened Marsh Risk and Marsh Management Consulting under one platform.
  • Q1 2026 revenue reached $7.6 billion, with 4% underlying growth across businesses.
  • Marsh Japan bought Mitsubishi Electric Insurance Service in November 2025, deepening Asia distribution.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Paid Vacation

Paid Sick Leave

Hybrid Work Options

401(k) Retirement Plan

401(k) Company Match

Employee Stock Purchase Plan

Professional Development Budget

Tuition Reimbursement

Mental Health Support

Paid Holidays

Company News

Yahoo Finance
Apr 17th, 2026
Marsh beats Q1 estimates with $7.6B revenue, $3.29 EPS as organic growth hits 5%

Marsh reported Q1 revenue of $7.6 billion, up 7.6% year-over-year, beating the consensus estimate of $7.38 billion by 2.88%. Earnings per share came in at $3.29, compared to $3.06 in the prior-year quarter, surpassing the consensus estimate of $3.21 by 2.46%. Key metrics showed mixed performance against analyst expectations. Consolidated organic revenue growth of 5% exceeded the 3.5% estimate, whilst consulting organic growth of 5% topped the 4.4% forecast. However, Guy Carpenter's organic growth of 2% fell short of the 4.2% estimate. Geographically, Marsh's EMEA division generated $1.21 billion in revenue, up 14.1% year-over-year and beating estimates. Mercer consulting revenue reached $1.66 billion, an 11% increase that surpassed the $1.58 billion consensus.

wallstreet:online AG
Jul 28th, 2025
Mitsubishi Electric to Transfer Shares of Insurance Subsidiary to Marsh Japan

28.07.2025 - Mitsubishi Electric Corporation (TOKYO: 6503) announced today that it has concluded a share transfer agreement under which it will transfer shares of its Tokyo-based subsidiary Mitsubishi Electric Insurance Service Co., Ltd. to Marsh Japan, Inc. on ...

Coverager
Aug 28th, 2024
Marsh Launches Port Blockage Insurance

Marsh <i class="fa fa-info-circle company-popover" data-content="h3Marsh/h3. div. table

Business Wire
May 16th, 2024
Marsh Mclennan Stockholders Re-Elect Board Of Directors During 2024 Meeting

NEW YORK--(BUSINESS WIRE)--Marsh McLennan (NYSE: MMC), the world’s leading professional services firm in the areas of risk, strategy, and people, today announced the results of its 2024 Annual Meeting of Stockholders. Stockholders elected the entire slate of 2024 director nominees for a one-year term expiring at next year’s annual meeting. The 11 directors are: Anthony K. Anderson, John Q. Doyle, Oscar Fanjul, H. Edward Hanway, Judith Hartmann, Deborah C

Coverager
May 9th, 2024
Marsh Introduces Micassure

Marsh <i class="fa fa-info-circle company-popover" data-content="h3Marsh/h3. div. table

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