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In office (Noida)

Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Mar 5, 2026. EXL scores B on the Alion truth index.

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EXL

EXL, legally ExlService Holdings, is a data analytics, AI and digital operations company headquartered in New York that runs outsourced business processes and builds data and AI solutions for insurers, healthcare organisations, banks, media and retail companies. Founded in 1999 and listed on Nasdaq, it has more than 60,000 employees across six continents, with large delivery centers in Noida, Gurgaon, Pune, Bengaluru and Chennai and a newer AI hub in Dublin. It hires data scientists and data engineers, GenAI and MLOps engineers, analytics managers, solution consultants and client partners, plus talent acquisition, finance and medical coding staff.
  • Client Engagement - Work closely with clients to understand their needs, challenges and objective.
  • Analysis - Conduct thorough research, data analysis and create supplier performance dashboards.
  • Invoice reconciliation - Past due supplier invoice reconciliation
  • Generate business Insights - Effectively communicate findings/insight to clients and Internal stake holders though reports, presentations or any other media.
  • Understanding of Contracts - Candidate should have good idea of understanding contracts (MSA, SOW etc.) however; not compulsory
  • Work closely with clients to understand their needs, challenges and objective.
  • Conduct thorough research, data analysis and create supplier performance dashboards.
  • Past due supplier invoice reconciliation and invoice processing
  • Effectively communicate findings/insight to clients and Internal stake holders though reports, presentations or any other media.
  • Candidate should be able to understand contracts (MSA, SOW etc.) and contract language.

Candidate should have

  • Good knowledge of MS office applications- MS word, MS Excel, Power point, SharePoint to and work on daily deliverables
  • Good communication skills to interact with clients on day to day calls and meetings
  • Able to manage multiple tasks and deliverables at the same time to meet Tasks SLAs
  • Independently work on Data analysis and keen to explore new opportunities to reduce efforts
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