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Data Analyst

hace 3 meses

Monterrey, Nuevo León, México CHUBB A tiempo completo

Data Analyst

Overview:

Join the North America data delivery team at Chubb, where we focus on providing valuable business insights, data management, and thorough business and data analysis. As a Data Analyst, your main responsibility will be to analyze various data sources in-depth to discover trends, patterns, and insights that will guide strategic decision-making. Moreover, you will ensure data accuracy and integrity throughout our systems by performing quality assurance tasks. We are looking for someone with strong analytical skills, advanced knowledge of querying languages, and a sharp attention to detail.

Responsibilities:

  • Conduct detailed data analysis by querying databases, consolidating information, and performing statistical analyses to extract valuable insights.
  • Collaborate with stakeholders to grasp business requirements and spot opportunities for data-driven enhancements.
  • Establish and uphold QA processes and tools to guarantee precise and dependable data across all systems.
  • Thoroughly validate and verify data to detect discrepancies, resolve issues, and maintain data integrity.
  • Create and manage documentation for data analysis procedures, QA processes, and relevant reports.
  • Work alongside the data engineering team to enhance database design, structure, and functionality for efficient data retrieval and analysis.
  • Present findings and suggestions clearly and succinctly to both technical and non-technical audiences.

Qualifications

  • Demonstrated experience as a Data Analyst or in a similar role, involving complex data analysis, statistical modeling, and data visualization.
  • Proficiency in querying languages (e.g., SQL, Python) and the ability to efficiently fetch data from databases.
  • Hands-on experience in QA tasks, data validation, and data integrity management.
  • Exceptional attention to detail and the skills to spot and resolve data quality issues.
  • Outstanding problem-solving and critical-thinking abilities to interpret intricate data sets and identify insights and trends.
  • Strong communication and presentation capabilities to communicate complex analytical findings to varied audiences.
  • Capability to work independently and collaboratively in a fast-paced, deadline-driven setting.
  • Familiarity with ETL processes and data warehousing concepts.
  • Knowledge of tools like Qlik, Power BI, or other similar data visualization platforms.