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Data Analyst

Sundayy

Full time Posted: 3 hours ago Software Development

Hiring from: Canada

About The Company

Cognizant is one of the world’s leading professional services companies, dedicated to transforming clients’ business, operating, and technology models to thrive in the digital era. Renowned for its industry-based, consultative approach, Cognizant helps organizations envision, build, and operate more innovative and efficient businesses. With a global presence and a commitment to excellence, Cognizant delivers cutting-edge solutions across various sectors, including finance, healthcare, manufacturing, and insurance. The company prides itself on fostering a collaborative, inclusive, and dynamic work environment that encourages continuous learning and growth for its employees.

About The Role

We are seeking an experienced Senior Data Analyst with strong expertise in the insurance domain to support data-driven initiatives across complex, enterprise-scale environments. In this role, you will collaborate closely with both business and technical stakeholders to analyze, curate, and deliver high-quality data solutions that enable informed decision-making. Your responsibilities will include contributing to data integration, data warehousing, and analytics initiatives, leveraging modern cloud platforms and best practices in data management. The ideal candidate will have a deep understanding of insurance concepts, especially underwriting, and possess hands-on experience with cloud-based data platforms and SQL analysis. This position offers an exciting opportunity to work on large-scale data programs, supporting strategic initiatives in a regulated industry and contributing to the organization’s data maturity and analytics capabilities.

Qualifications

  • 7+ years of experience as a Data Analyst in enterprise environments
  • Strong knowledge of the insurance domain, including underwriting concepts
  • Experience working with Global IQX and integrating with third-party platforms such as Salesforce
  • 3+ years of experience with cloud-based data platforms (e.g., Azure, AWS, or similar)
  • Hands-on experience with SQL for data analysis, validation, and issue resolution
  • Solid understanding of data warehousing concepts, dimensional data models, and analytics-ready data structures
  • Experience delivering comprehensive data documentation within large and complex organizations
  • Excellent verbal and written communication skills, capable of engaging stakeholders at multiple levels

Responsibilities

  • Analyze, validate, and interpret complex datasets to support business and technology decisions
  • Partner with business stakeholders to gather and understand end-to-end data requirements, from ingestion through curation
  • Perform hands-on data profiling and develop SQL queries to analyze and validate data quality
  • Support master data management, data integration, and data warehousing or data lake initiatives
  • Provide insights and recommendations to data modelers based on business and analytical needs
  • Develop and maintain high-quality data documentation artifacts within project timelines
  • Collaborate effectively with cross-functional teams, communicating technical concepts clearly to non-technical stakeholders
  • Contribute to analytics solutions in large-scale, data-centric environments, including Big Data platforms

Benefits

  • Comprehensive medical, dental, vision, and life insurance coverage
  • Paid holidays and paid time off (PTO)
  • Short-term and long-term disability coverage
  • Paid parental leave
  • Employee Stock Purchase Plan
  • Access to well-being programs, learning resources, and career development opportunities

Equal Opportunity

Cognizant is an equal opportunity employer. We are committed to fostering a diverse, equitable, and inclusive workplace. All qualified applicants will receive consideration regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, genetic information, pregnancy, veteran status, or any other characteristic protected by applicable law.

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