Data Solutions Consultant & Client Strategy Lead

Aon

Singapore

On-site

SGD 120,000 - 150,000

Full time

14 days+
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Job summary

Aon is in the business of better decisions. Senior Associate Consultant / Consultant, Data Solutions / Rewards Advisory in Singapore will manage client relationships with key industry clients, plan data-driven rewards solutions, and deliver insights to support strategic decisions.

You will mentor junior analysts, develop market-facing proposals, and collaborate with Commercial, Marketing, and Operations teams to expand data products and services while maintaining high-quality work across

Qualifications

  • Bachelor's degree in Business, Finance, or related field.
  • 4–6 years of experience in compensation and rewards consulting.
  • Advanced proficiency in MS Excel and MS PowerPoint.
  • Strong analytical and data-driven mindset.
  • Excellent communication and English proficiency; Chinese is a plus.

Responsibilities

  • Client relationship management with key industry clients.
  • Identify key prospective clients for data products and plan campaigns.
  • Mentor analysts and associate consultants in data solutions.
  • Develop strategic plans for survey product portfolio with industry lead.
  • Draft proposals and assist in RFP preparation.
  • Interact with client base and influence project timelines and methods.
  • Draft presentations, reports, and data analyses.

Skills

MS Excel
MS PowerPoint
Analytical skills
Data analysis
Problem solving
Organizational skills
Communication skills
Chinese language

Education

Bachelor's degree in Business or Finance

Job description

Aon is in the business of better decisions. Senior Associate Consultant / Consultant, Data Solutions / Rewards Advisory in Singapore will manage client relationships with key industry clients, plan data-driven rewards solutions, and deliver insights to support strategic decisions.

You will mentor junior analysts, develop market-facing proposals, and collaborate with Commercial, Marketing, and Operations teams to expand data products and services while maintaining high-quality work across

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