At Reltio®, we believe data should fuel your success in the enterprise AI era. Reltio Data Cloud is the context intelligence platform providing trusted business understanding so AI agents and systems can act with human-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and enriches data and metadata across sources and formats—including unstructured data—in real time. Organizations gain 360-degree views of core data mobilized in milliseconds to any application, user, or AI agent. Trusted by the world’s largest enterprises across life sciences, financial services, healthcare, and technology, we fuel frictionless operations, drive innovation, and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. As the Sales Operation Analyst, this role focuses on supporting sales operations and performance through data analysis, contract management, and cross-functional collaboration. It involves providing insights to sales leadership for resource planning, managing contract workflows and approvals, and ensuring accuracy in CRM systems and marketplace offers. The position also requires close coordination with teams like Finance, Legal, and Sales Ops, while maintaining high data quality, improving processes, and adapting quickly in a fast-paced environment.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed