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EXL

Business Data Analyst

EXL

Jersey City, New Jersey, United States · Tempo pieno

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Esperienza
5+ anni
Stipendio
Aperture
1
Pubblicato
4 ore fa
Modalità di lavoro
In ufficio
Istruzione
Bachelor's degree in Computer Science or related field
Riprendere
È necessario candidarsi

Dove lavorerai

Descrizione del lavoro

Role Overview

We are looking for an experienced Business Data Analyst specialized in handling extensive data applications, analysis, and transformations to support enterprise-level initiatives within the Property & Casualty (P&C) Insurance sector. This role involves collaborating closely with both business stakeholders and technical teams to enhance data precision, uniformity, and business value.

Key Responsibilities

  • Conduct comprehensive data analyses including profiling, verification, and transformation related to large-scale data integration and reporting.
  • Create detailed source-to-target data mappings and documentation aligned with business needs.
  • Engage with business users and stakeholders to gather and convert functional requirements into clear technical specifications.
  • Collaborate with data engineers and development teams to implement and verify data consolidation, standardization, and transformation tasks.
  • Optimize complex SQL queries to ensure efficient performance and accurate handling of vast datasets.
  • Participate in evaluating data quality and suggest strategies for data cleansing and enrichment.
  • Utilize deep domain expertise in P&C Insurance, focusing on policy management and claims processing, ensuring data coherence with business operations.
  • Serve as a communication bridge among business subject matter experts, data modelers, and technical personnel to facilitate successful data delivery and adoption.

Required Skills and Qualifications

  • A minimum of five years' experience in data analysis, mapping, and transformation within enterprise-level data environments.
  • Advanced proficiency in SQL, including analytical functions, query tuning, and performance improvements.
  • Demonstrated experience developing source-to-target mapping documentation and understanding of ETL and data flow processes.
  • Exposure to integrating, standardizing, and transforming data from diverse sources.
  • Comprehensive knowledge of the Property & Casualty Insurance domain.
  • Excellent communication and interpersonal abilities to collaborate effectively across technical and business teams.
  • Strong documentation skills capable of producing clear technical and business materials.

Education

A bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline is required.

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