Marsh
DataAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Analyst at Marsh. Skills: Reporting, Data analysis, Data consolidation. Deliver reports. Consolidate data”
What You'll Achieve.
Make data usable; Make data connected; Make data actionable
Industry & Context.
Analytical thinking; Problem-solving mindset
What They're Looking For.
Must Have
English language proficiency, Excel skills, Experience with large datasets, Analytical thinking, Problem-solving mindset, Ability to understand business context, Ownership, Reliability, Willingness to learn
Nice to Have
Power BI, SQL skills, Data modeling, Reporting experience, Finance analytics experience, Operational analytics experience
What You'll Do.
Translate business questions
Identify data inconsistencies
Support data governance
Understand business needs
Transition manual processes
How You'll Work.
Team & Collaboration
Work closely with stakeholders; Work with senior stakeholders
Communication Scope
English language proficiency
Full Job Description
## Company: Marsh ## ## Description: We are looking for a Data Analyst to join Reporting & Analytics team (Global Benefits Management business) and support the transformation of how we manage and use data across our business. This role is about making data usable, connected, and actionable in a complex, real-world environment. You will work closely with senior stakeholders and be responsible for delivering regular and ad-hoc reporting to stakeholders across multiple regions globally. This role will be based in Cluj. This is a hybrid role that requires working at least three days a week in the office. **We will count on you to:** * Deliver regular and ad-hoc reports to global stakeholders across different regions and teams * Consolidate and clean data from multiple sources (Excel, internal systems, etc.) * Build and maintain datasets used for reporting and analysis * Translate business questions into data analysis * Identify inconsistencies, gaps, and opportunities in existing data * Support data governance efforts (definitions, ownership, structure) * Work closely with stakeholders to understand real business needs (not just technical requirements) * Help gradually transition from manual processes to more structured and scalable solution **What you need to have:** * Experience in working in an international environment * A very good command of English - you will use it every day in meetings, chats, and documentation * Very good Excel skills * Experience with large datasets or multiple data sources * Analytical thinking and problem-solving mindset * Ability to understand business context, not just data * Strong ownership and reliability * Willingness to learn and develop **Nice-to-have:** * Practical knowledge of Power BI * SQL skills * Basic understanding of data modeling (practical, not academic) * Experience in reporting, finance, or operational analytics **Why join our team:** * We help you be your best through professional development opportunities, interesting
Applying for this Data Analyst role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Marsh?
Real rants from real employees. Read before you apply.