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Aon plc in Kraków is seeking a Client Success Coordinator to support clients through RMCD data collection, validation and integration, delivering insights for compensation decisions.
You will collaborate with clients and internal teams to ensure accurate data, smooth submissions and strong project delivery in a hybrid work setup.
Are you looking for a role where you can combine data analysis, client interaction and project coordination while helping organizations make better compensation decisions?
As a Client Success Coordinator, you will support clients throughout their journey of participating in Aon's Radford McLagan Compensation Database (RMCD), the world's leading source of benchmark compensation data. You will work closely with clients to ensure compensation data is collected, validated and transformed into important insights that support workforce and reward decisions.
As organizations face growing challenges in attracting, retaining and motivating talent, high-quality compensation data and market intelligence have become more important than ever. In this role, you will play a key part in helping clients successfully navigate compensation surveys, data submissions and benchmarking processes.
This is a hybrid role with the flexibility to work both virtually and from our Krakow office.
At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.
As an organization, we are united through trust as one inclusive team, and we are passionate about helping our colleagues and clients succeed.
You will work closely with clients and internal teams to support the collection, validation and integration of compensation data, ensuring a smooth client experience and high-quality data delivery.
In the role of Client Success Coordinator, you will develop an outstanding blend of analytical and client-facing skills. The role combines compensation data management, stakeholder engagement and problem-solving, providing exposure to clients, industry-leading compensation data and colleagues across multiple functions and geographies.
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