Senior Specialist - Data Management

Marsh McLennan•New York, NY
•$82,500 - $175,600•Hybrid

About The Position

Marsh is seeking a Senior Specialist - Data Management to support senior leaders across the organization. The role uses data analysis to improve operational capabilities across onshore and offshore teams, increase efficiency and effectiveness, and support the successful implementation of departmental initiatives. The specialist will provide leadership and participate in projects and cross-functional teams to analyze and optimize complex business processes. They will conduct in-depth research and analysis, develop fact-based reporting to support change, and create communications, training, and adoption materials. During the first 90 days, the specialist is expected to build relationships with key stakeholders, develop an in-depth understanding of relevant systems, and analyze data to provide insights, identify improvement opportunities, and track progress. The position works closely with senior stakeholders and project teams to turn data into insights that support operational improvement, change initiatives, and better organizational decision-making. Marsh is committed to hybrid work. Colleagues are expected to work from 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 in mathematics, statistics, or a finance-related field.
  • Minimum 5 years of experience in financial services, P&C, or industry services.
  • Advanced technology skills, with expertise in Excel.
  • Strong data collection and analytical skills.
  • Strong knowledge of roles, processes, and technology.
  • Excellent communication skills.
  • Aptitude for learning and teaching.
  • Strong organizational skills and attention to detail.

Nice To Haves

  • Recognized as a problem-solver.
  • Strong history of collaboration and teamwork.
  • Deep curiosity and interest in understanding the business.

Responsibilities

  • Collect and analyze data to improve operational capabilities, efficiency, and effectiveness.
  • Assess data sets for trends and forecasting, maintaining strong organization and attention to detail.
  • Process large volumes of information and apply problem-solving skills to add business value.
  • Present insights clearly, including through data storytelling for management audiences.
  • Use data and capacity modelling to support business outcomes.
  • Develop communications, reporting, and training materials based on analysis outcomes.
  • Analyze and optimize complex business processes through projects and cross-functional teams.
  • Challenge existing practices, identify opportunities, and develop innovative solutions.
  • Support data quality initiatives and continuously refine metrics and insights.
  • Monitor external trends and best practices and implement appropriate action plans.
  • Build relationships with key stakeholders, understand relevant systems, identify improvement opportunities, and track progress.
  • Lead by example and maintain high ethical standards.

Benefits

  • Competitive pay and potential performance-based incentives.
  • Full benefits package starting day one, including medical, dental, vision, short-term and long-term disability, and life insurance.
  • Retirement programs, including RSP/TFSA where applicable, and 401(k) savings and other retirement programs.
  • Parental leave.
  • Tuition reimbursement and tuition assistance.
  • Employee Stock Purchase Plan, where applicable.
  • Paid time off, including vacation, personal days, floating holidays, volunteer time, sick days, and company holidays.
  • Employee assistance programs.
  • Employee Resource Groups, with access to leaders, volunteering and mentoring opportunities, and interactions with industry and client counterparts.
  • Culture of internal mobility and collaboration.
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