Data Analyst

Marsh McLennan•Louisville, KY
•Hybrid

About The Position

Mercer, part of Marsh, is seeking a Data Analyst to perform day-to-day compensation data analysis for survey clients. The role supports survey participation, job matching and benchmarking, data submission validation, interpreting Mercer data, and addressing client participation needs with colleagues. It is responsible for maintaining data integrity and contributing to client-facing activities, including webcasts, results meetings, presentations, and discussions of data results. The position may involve travel to client meetings within the United States or Canada. The role is hybrid. Marsh colleagues are expected to work in their local office or onsite with clients at least three days per week. Office-based teams will identify at least one weekly anchor day for the full team to work together in person.

Requirements

  • Bachelor’s degree.
  • 0–2 years of professional experience; experience in data review and analysis is preferred.
  • Proficiency with Microsoft Excel.
  • Excellent verbal and written communication skills.
  • Strong analytical, critical-thinking, and problem-solving skills.

Nice To Haves

  • Ability to learn a wide range of daily tasks and projects.
  • Ability to adapt quickly to change.
  • Willingness and openness to learn.
  • Experience in data review and analysis is preferred.

Responsibilities

  • Verify and validate compensation data, client submissions, and data validation files.
  • Assist clients with job matching for survey submissions and explain matching methodology, including providing examples.
  • Help improve the quality of client data submissions and clients’ understanding of Mercer survey processes and analysis.
  • Identify and review statistical anomalies and outliers in aggregated databases.
  • Research client job structures and organizational details to facilitate data analysis.
  • Communicate data-analysis conclusions to product stakeholders and support internal and external client data inquiries.
  • Create client presentations and lead discussions about data results.
  • Travel, as needed, to client meetings within the United States or Canada.
  • Raise process-improvement and innovation ideas to management and support the team’s innovation initiatives.

Benefits

  • Medical, dental, vision, and life insurance.
  • Generous 401(k) match and automatic contribution.
  • Parental leave.
  • Tuition reimbursement plan per year.
  • Employee Stock Purchase Plan participation.
  • Paid vacation and sick time.
  • Company holidays.
  • Paid time to give back to the community.
  • Employee Resource Groups with access to leaders, volunteer and mentoring opportunities, and interactions with industry and client-organization counterparts.
  • Competitive pay and a full benefits package.
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