Cint
Technology
TotalRewards&AnalyticsPartner
Neural analysis suggests this role is
optimal for mid candidates.
“Total Rewards & Analytics Partner at Cint. Skills: Total Rewards, People Analytics, Workforce Planning, AI tooling. Develop tools, automations, templates. Develop scalable solutions”
Industry & Context.
Analytical thinking; Systems thinking; Decision modeling
What They're Looking For.
Must Have
3–7 years analytical experience, 3–7 years operational experience, 3–7 years consulting experience, 3–7 years project management experience, 3–7 years transformation-oriented experience, Actively use AI tooling, Combine analytical thinking with execution, Resourceful, Comfortable operating in ambiguity, Connect systems, workflows, stakeholders, Comfortable working independently, Build before being asked, Understand where human judgment matters, Understand where automation should take over, Comfortable with HR systems, Comfortable with spreadsheets, Comfortable with dashboards, Comfortable with knowledge management tools
Nice to Have
Compensation experience, Workforce Planning experience, People Analytics experience, FP&A experience, HR Technology experience
What You'll Do.
Develop scalable solutions
Improve connection between compensation
Support strategic initiatives
Support people analytics
Support workforce planning
Support compensation cycles
Support pay transparency readiness
Support organizational redesign
Translate business questions into analyses
Translate business questions into models
Translate business questions into decision frameworks
Identify repetitive work
Identify low-value work
Redesign work using AI
Codify compensation philosophy
Codify decision logic
Contribute to AI assistant evolution
Support budgeting activities
Support workforce modeling activities
Support compensation forecasting activities
Partner with People Partners
Partner with Talent Management
Partner with People Operations
Challenge legacy processes
How You'll Work.
Team & Collaboration
Partner closely with People Partners; Partner closely with Talent Management; Partner closely with People Operations; Partner closely with Payroll; Partner closely with FP&A
Full Job Description
Cint is the technology foundation for continuous research and measurement. With a global footprint and programmatic access to hundreds of millions of consumers across 130+ countries, Cint connects researchers, advertisers, and brands to reliable data from the world’s largest network of high-quality sources. Researchers can collect human and advanced data at speed. Advertisers and their partners can measure campaign effectiveness at scale. Brands can move from insight to action with clarity. By operating the connective layer between asking questions and measuring advertising outcomes, Cint enables organizations to move faster and make confident business decisions. At Cint, we’re feeding the world’s curiosity. About the Role We’re building a next-generation Total Rewards function: smaller, highly analytical, AI-enabled, and deeply connected to business decision-making. We believe Total Rewards will increasingly operate as a strategic product and intelligence function for workforce decisions, and this role sits at the center of that transformation. You will help redesign how we approach compensation, workforce planning, people analytics, operational workflows, and employee support using data, systems thinking, automation, and AI tooling. You won’t just analyze data or maintain dashboards. You will help build frameworks, workflows, tools, and decision models that fundamentally improve how People teams operate. You do not need to come from a pure Compensation & Benefits background. We care more about curiosity, analytical mindset, commercial and financial awareness, and excitement for building the future of Total Rewards. What You’ll Do * Develop tools, automations, templates, frameworks, and scalable solutions that improve the connection between compensation, performance, attrition, hiring, and staffing. * Support strategic initiatives such as people analytics, workforce planning, pay equity, compensation cycles, STIP, LTIP, pay transparency readiness and organizational
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