EXL
EXL
EXL — ұйымдарға операцияларын жетілдіруге және тиімдірек шешімдер қабылдауға көмектесу үшін деректерді, талдауды және технологияларды пайдаланатын бизнес-консалтинг және қызмет көрсету компаниясы. Оның жұмысы операцияларды басқаруды, шешімдер аналитикасын және цифрлық трансформацияны қамтиды. Компания денсаулық сақтау, сақтандыру, қаржы және логистика салаларындағы клиенттерге қолдау көрсету тәжірибесіне ие. EXL деректер ғылымын практикалық бизнес сараптамасымен ұштастырып, әр ұйымның мақсаттарына, операциялық моделіне және салалық ерекшеліктеріне бейімделген шешімдер әзірлейді.

Business Data Analyst - EXL, Pune (Hybrid)

Analyze and standardize insurance data across enterprise applications at EXL. Build SQL mappings, data lineage, models, and transformation documentation for business and technical stakeholders.

Сипаттама

  • Bridge communication between technical and business teams
  • Engage client subject-matter experts to understand system functionality and data
  • Profile data to evaluate quality and identify critical data elements
  • Standardize reference and master data across applications
  • Prepare data mapping and lineage documentation
  • Create data models and design documents that explain mappings and transformations

Талаптар

  • Bachelor’s degree
  • Three to six years of experience working with large-scale data applications
  • Background in data analysis, data mapping, and data transformation
  • Experience with Snowflake and a relational database
  • Experience preparing business requirements documents and gathering requirements
  • Strong verbal and written communication and tracking skills
  • Proficiency in SQL
  • Experience creating source-to-target mappings (STTM)
  • Exposure to data consolidation, transformation, and standardization
  • Experience supporting insurance clients, particularly in the property and casualty (P&C) domain
  • Knowledge of policy and claims lifecycles and reinsurance operations
  • Ability to join a team quickly and work independently toward shared goals
  • Knowledge of Data Vault 2.0 and data modeling is desirable

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