Senior Specialist - Data Management

Marsh is a global leader in insurance broking and risk management. In more than 130 countries, our experts across industries and every facet of risk help clients anticipate, quantify, and better understand the risks they face. In today’s increasingly uncertain global business environment, Marsh helps clients to thrive and survive.

About the role

In this role, you will support Senior Leaders across the organization by using data analysis to improve operational capabilities (onshore and offshore), increase efficiency and effectiveness, and help ensure the successful implementation of departmental initiatives. You will provide leadership and actively participate in projects and cross-functional teams to analyze and optimize complex business processes. You will also be responsible for in-depth research and analysis, developing robust, fact-based reporting to support change, and creating materials to support communications, training, and adoption of desired outcomes.

Within the first 90 days, you will be expected to build relationships with key stakeholders, develop an in-depth understanding of relevant systems, and analyze data to provide insights, identify opportunities for improvement, and track progress.

Responsibilities

• Demonstrate strong data collection and analytical skills
• Maintain excellent organizational skills and a strong eye for detail to assess data sets for trends and forecasting
• Apply strong problem-solving capabilities and process large volumes of information to add value to the business
• Communicate insights clearly, including presenting data in a storytelling format for management audiences
• Bring experience in data and capacity modelling to support business outcomes
• Develop materials to support communications, reporting, and training based on analysis outcomes
• Challenge existing practices, identify opportunities, and develop innovative solutions
• Support data quality initiatives and continuously refine metrics and insights
• Lead by example, serving as a role model and maintaining high ethical standards
• Monitor external trends and best practices and implement appropriate action plans

Requirements

• Bachelor’s degree in mathematics/statistics or a finance-related degree
• Minimum 5 years of experience in financial services, P&C, or industry services
• Advanced technology skills, with expertise in Excel
• Deep curiosity and interest in understanding the business
• Strong knowledge of roles, process, and technology
• Excellent communication skills
• Aptitude for learning and teaching

Qualifications

• Recognized as a problem-solver
• Strong history of collaboration and teamwork

Benefits

• Competitive pay (salary and bonus potential)
• Full benefits package starting day one (medical, dental, vision, STI/LTI, life insurance, and retirement programs such as RSP/TFSA where applicable)
• Parental leave
• Tuition reimbursement
• Participation in the Employee Stock Purchase Plan (regional specificity required)
• Paid time off including vacation, personal days, floating holidays, volunteer time, sick days, and company holidays (details and entitlements vary by region)
• Culture of internal mobility and collaboration
• Employee Resource Groups that provide access to leaders, volunteering and mentoring opportunities, and interactions with industry and client counterparts

Pay

The applicable base salary range for this role is $82,500 to $175,600. 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.

Schedule

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.