обновлено 13 дней назад
Senior Data Systems Analyst (Insurance)
89 000 - 148 100$
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Systems Analyst (Insurance): Validating enterprise data platforms, business processes, reporting solutions, and end-to-end data workflows with an accent on data quality, regulatory compliance, and independent quality assurance. Focus on designing risk-based testing strategies, automating data validation, investigating production incidents, and verifying complex ETL/ELT pipelines, warehouses, and downstream reporting.
Location: Hybrid from a local office or remote for a non-local candidate; listed offices are in Bloomington, Illinois; Boston, Massachusetts; Hartford, Connecticut; Omaha, Nebraska; Downers Grove, Illinois; and San Antonio, Texas.
Salary: $89,000–$148,100 annually, plus an annual discretionary bonus.
Company
is a specialized insurance company providing products and services for customers with evolving insurance needs.
What you will do
- Investigate production data incidents, perform root cause analysis, and coordinate corrective and preventive actions.
- Develop risk-based test strategies, test cases, traceability matrices, quality gates, and acceptance criteria for enterprise data platforms.
- Validate end-to-end workflows across source systems, ETL/ELT processes, data warehouses, integrations, reporting platforms, and downstream consumers.
- Perform regression, release, performance, scalability, reliability, recoverability, integration, and production validation testing.
- Analyze data quality through profiling, reconciliation, anomaly analysis, business-rule validation, and reporting verification.
- Develop data quality KPIs, controls, scorecards, governance practices, and validation evidence for audit and regulatory needs.
Requirements
- Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Business Analytics, or a related field, or equivalent experience.
- 6+ years of experience in data quality analysis, data warehousing, business systems analysis, data governance, quality assurance, data testing, or business process validation.
- Insurance industry experience, including property and casualty and/or life insurance, and experience with enterprise data warehouse environments.
- Advanced SQL, data analysis, data reconciliation, data profiling, requirements traceability, root cause analysis, and test planning skills.
- Experience with Snowflake, Oracle, SQL Server, or similar databases; enterprise data integration platforms such as Informatica or IICS; and reporting tools such as Power BI.
- Experience with XML, JSON, API integrations, Python or other scripting languages, and cloud data platforms such as Azure or AWS.
Nice to have
- Experience with data quality, observability, governance, lineage, metadata, or master data management tools.
- Familiarity with CI/CD, automated testing frameworks, DataOps, DevOps, or Agile delivery.
- Experience with large-scale cloud data platforms, distributed data ecosystems, enterprise audits, regulatory compliance, or AI-assisted testing.
Culture & Benefits
- Hybrid work is available from a local office, with remote work available for non-local candidates.
- Benefits include medical, dental, and vision coverage, paid time off, and a 401(k).
- The role supports collaboration across business, technology, risk, compliance, and operational teams.
- The position emphasizes data accuracy, accountability, continuous improvement, and professional development.
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