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4 дня назад

Senior Data Systems Analyst (Insurance)

89 000 - 148 100$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Senior Data Systems Analyst (Data Quality/SQL): Independent validation and quality assurance across enterprise data platforms and reporting solutions with an accent on data accuracy, reliability, and regulatory compliance. Focus on investigating production incidents, developing automated testing frameworks, and validating complex ETL/ELT processes within the insurance domain.

Location: Remote for non-local candidates or Hybrid in Downers Grove, Bloomington, Boston, Hartford, Omaha, or San Antonio (USA).

Salary: $89,000 – $148,100

Company

hirify.global is one of the nation’s leading specialized insurers providing various insurance products and services.

What you will do

  • Provide independent validation and QA for enterprise data platforms, business processes, and reporting solutions.
  • Investigate production data incidents, perform root cause analysis, and partner with engineering for remediation.
  • Develop comprehensive testing strategies, test cases, and risk-based validation approaches for data products.
  • Collaborate with data engineering to implement automated testing frameworks for reconciliation and regression testing.
  • Validate end-to-end data workflows across source systems, ETL/ELT processes, and data warehouses.
  • Develop and monitor data quality KPIs, controls, and governance scorecards.

Requirements

  • 6+ years of experience in Data Quality Analysis, Data Warehousing, or Business Systems Analysis.
  • Insurance industry experience (P&C and/or Life Insurance).
  • Advanced SQL development and experience with Snowflake, Oracle, or SQL Server.
  • Experience with enterprise data integration platforms like Informatica or IICS.
  • Bachelor's degree in Information Systems, Computer Science, Data Analytics, or a related field.
  • Must be based in the USA (indicated by location and benefits).

Nice to have

  • Experience with data quality observability or governance tools.
  • Familiarity with CI/CD, DataOps, or Agile delivery methodologies.
  • Experience with Python or other scripting languages for data automation.
  • Knowledge of AI-assisted testing and validation tools.

Culture & Benefits

  • Annual discretionary bonus.
  • Comprehensive benefits package including Medical, Dental, and Vision insurance.
  • Paid Time Off (PTO) and 401k retirement plan.
  • Support for personal development and professional challenges.
  • Focus on a high-performing culture and healthy work-life balance.

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