Senior FP&A Analyst (Compensation Benefits Team)

Marsh Agency

Lisboa

Hybrid

EUR 38,000 - 60,000

Full time

31 hours ago
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Job summary

Marsh in Lisbon is seeking a Financial Planning & Analysis professional to support USA-based teams with administration, analysis, and ongoing management of the Sales Compensation Incentive Plan. The role is hybrid, requiring at least three days in the office each week.

You will analyze financial data, manage ticketing issues in compensation workflows, validate upstream data changes, and collaborate with internal clients across geographies to optimize processes and ensure compliance.

Qualifications

  • English proficiency at C1/C2 level.
  • 3–6 years of relevant business experience.
  • Ability to understand and articulate financial impact of decisions.
  • Excellent stakeholder management skills.
  • Excellent verbal and written communication skills.
  • Attention to detail.
  • Show initiative and contribute to continuous improvement.
  • Proficient in MS Office and advanced Excel for handling big data.
  • Highly proficient in data analysis and data extraction/manipulation.
  • Track record of delivering to deadlines.
  • Active team player with cross-geography collaboration.
  • Open to new challenges and responsibilities.

Responsibilities

  • Analyze financial data and quantitative analyses to support defensible recommendations.
  • Triaging issues that arise through Sales compensation ticketing workflow.
  • Researching/validating and coordinating changes in upstream source systems.
  • Stakeholder management as internal clients.
  • Optimize work and procedures for a more efficient and accurate environment.
  • Handle requests from Zone Leaders, HR, TR to model plan moves and impact to earnings.
  • Maintain best practices policies to ensure regulatory compliance.

Skills

English proficiency
Experience 3–6 years
Financial impact articulation
Stakeholder management
Verbal and written communication
Attention to detail
Initiative & continuous improvement
Data analysis
Data extraction/manipulation
Time management / deadlines
Team player / cross-geography
Willingness to take on new challenges

Tools

MS Office
Advanced Excel
PowerPoint

Job description

We are seeking a talented individual to join our Financial Planning & Analysis regional team at Marsh. This role is based in Lisbon. This is a hybrid role that has a requirement of working at least three days a week in the office.

This role will mainly focus on supporting USA-based teams in the administration, analysis and ongoing management of the Sales Compensation Incentive Plan.

We Will Count On You To
  • Analyze financial data and quantitative analyses, in order to support sound and defensible recommendations;
  • Triaging issues that arise through Sales compensation ticketing workflow (Ticketing research & resolution);
  • Researching/validating and coordinating changes were made in upstream source systems where required;
  • Stakeholder management as internal clients;
  • Optimize work and procedures, leading to a more efficient and accurate environment;
  • Requests from Zone Leaders, HR, TR, to model plan move/account moves and impact to earnings;
  • Maintain best practices policies, in order to maintain compliance with regulatory standards.
What You Need To Have
  • English C1/C2;
  • Overall 3-6 years of relevant business experience;
  • Ability to understand and articulate financial impact or decisions;
  • Excellent stakeholder management skills;
  • Excellent verbal and written communication skills;
  • Attention to detail;
  • Show initiative and contribute to a continuous improvement environment;
  • Proficient in MS Office, Advanced Excel (manipulate big data) and PowerPoint;
  • Highly proficient in data analysis and data extraction and manipulation;
  • Proven track record of delivering to deadlines;
  • Active team player with the ability to work across geographies;
  • Be open for new challenges and willing to undertake additional responsibilities;
What Makes You Stand Out
  • Have experience within a Financial/Mathematical/Investments department of a multinational firm;
  • Positive attitude and ability to adapt to an ever changing environment;
  • An aptitude towards automation, systems and technology;
  • Must be able to multi-task, to work under pressure and meet tight deadlines.
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 impact for 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 (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 providing an inclusive work environment. We aim to attract and retain the best, most qualified people and value colleagues of all backgrounds, without regard to age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

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