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Sobre este puesto de Employee Research Consultant en Marsh

Marsh · Híbrido · Washington - Conn Ave NW

Company:

Marsh

Description:


With a career as a Marsh Employee Research Consultant, you will be helping companies of all sizes and across all industries to solve their greatest challenges by designing and implementing workforce strategies to help them grow within their markets. We help these organizations define and implement an employee experience that will make the right talent want to join, stay, and deliver their best performance.


Marsh is seeking candidates for the following position based in Philadelphia or Washington, DC


Employee Research Consultant


We will count on you to:

  • Support companies in the design and execution of employee engagement and total rewards optimization strategies that reinforce business objectives
  • Take the lead on projects in creating survey content, conducting survey data analyses (e.g. using SPSS for driver analysis), and creating "the data-based story" that draws on insights from the data/research findings
  • Thrive and be motivated by an environment that embraces AI and technology-enabled tools
  • Work with clients in a consultative manner to create, launch and administer employee engagement surveys, then build presentations and present results to clients’ executives
  • Partner with consultants to brainstorm and determine the analytic approach and appropriate project plan for clients and prospects
  • Develop expert knowledge in conducting surveys from start to finish, advising (and presenting to) managers on the practical use of survey processes, and data for organizational improvement
  • Contribute to thought leadership in research and/or client work (e.g., Society for Industrial and Organizational Psychology (SIOP) presentations, "breakthrough insights" for acting on results)
  • Perform advanced statistical analysis, including regression modeling and additional statistical tests using SPSS and R
  • Independently develop customized client reports based on outcomes of statistical analysis

What you need to have:

  • Master’s degree or higher in Industrial/Organizational Psychology (or related field of study)
  • At least 4-5 years’ employee research, employee engagement or organizational assessment survey experience
  • Strong statistical analysis and ability to run data and design data structures using SPSS and/or R programming
  • Advanced knowledge of Excel (vlookups, pivot tables, index matching), and strong PowerPoint skills
  • Excellent analytical, writing, and presentation skills
  • Proven project management skills and creative problem-solving abilities

What makes you stand out:

  • Previous consulting experience preferred (employee engagement survey or HR consulting)
  • Proven sales and sales support experience
  • HR transformation experience

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 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, 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, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting [email protected].

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.

The applicable base salary range for this role is $99,000 to $198,500.

The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.

We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.

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Cómo se compara este salario de Consultant

Este puesto paga $148,750/yr — por encima de el rango típico para los puestos de Consultant.

$40,404 la mediana de $95,000 $167,777

Rango típico $53,359–$135,197/yr, a partir de 5,888 ofertas comparables de Consultant en JobsRadar (salario anualizado en USD). Ver datos salariales de Consultant →

Sobre Marsh

Click here to return to the Marsh Careers Site 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 $24 billion and more than 90,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit corporate.marsh.com , or follow us on LinkedIn and X .

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