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Total Rewards & Analytics Partner
CintTotal Rewards & Analytics Partner
CintRequirements
Qualifications
Who You Are
You have 3–7 years of experience in an analytical, operational, consulting, project management, or transformation-oriented role.
Experience in Compensation, Workforce Planning, People Analytics, FP&A, or HR Technology is valuable, but not required.
You actively use AI tooling to improve productivity, automate workflows, and rethink how work gets done.
You combine strong analytical thinking with operational execution.
You are resourceful, proactive, and comfortable operating in ambiguity.
You naturally connect systems, workflows, stakeholders, and business outcomes.
You are comfortable working independently. You build before being asked.
You understand where human judgment matters — and where automation should take over.
You are comfortable working with HR systems, spreadsheets, dashboards, and knowledge management tools
Benefits
Additional Information
Our Values
Collaboration is our superpower
- We uncover rich perspectives across the world
- Success happens together
- We deliver across borders.
Innovation is in our blood
- We’re pioneers in our industry
- Our curiosity is insatiable
- We bring the best ideas to life.
We do what we say
- We’re accountable for our work and actions
- Excellence comes as standard
- We’re open, honest and kind, always.
We are caring
- We learn from each other’s experiences
- Stop and listen; every opinion matters
- We embrace diversity, equity and inclusion.
More About Cint
We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth.
In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries.
Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. (www.cint.com)
Additionally, in a world of AI, we want our candidates to understand our approach to the use of AI during the interview and hiring process, so we'd appreciate you reading our AI usage guide.
Original Advert
Company 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.
Job Description
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 redesign.
Translate ambiguous business questions into structured analyses, models, and decision frameworks.
Identify repetitive or low-value work and redesign it using AI-enabled solutions.
Help codify compensation philosophy, governance, and decision logic into scalable systems.
Contribute to the evolution of Harriet, our internal AI assistant, through knowledge architecture, workflow integration and database maintenance.
Support budgeting, workforce modeling, and compensation forecasting activities.
Partner closely with People Partners, Talent Management, People Operations, Payroll, and FP&A.
Continuously challenge legacy processes that create friction, low leverage work, or poor employee experience.
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