обновлено 6 дней назад
AVP, Technical Data Analyst (P&C Insurance)
175 000 - 210 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AVP, Technical Data Analyst (P&C Insurance): Reviewing, modeling, profiling, and validating data assets across policy and claims systems with an accent on data governance, master data management, and global transformation rules. Focus on exploratory analysis, resolving data quality discrepancies, supporting developers as a product owner, and translating reporting requirements into technical delivery.
Location: Hybrid, Warren, New Jersey, USA
Salary: $175,000–$210,000 annually
Company
is a global risk management and insurance company with more than 50 years of experience supporting businesses, economies, and communities.
What you will do
- Review and document data assets across source systems, including current processes and their limitations.
- Perform exploratory data analysis to identify trends, patterns, anomalies, and data quality issues.
- Create artifacts documenting data mappings and global transformation rules.
- Collaborate with data architects and business analysts on global reporting requirements and standards.
- Validate data accuracy, completeness, and integrity across source systems.
- Provide decision support, product ownership, technical support for developers, and SDLC support across multiple projects.
Requirements
- Bachelor’s degree in finance, statistics, mathematics, computer science, MIS, or a related field.
- 10–15 years of experience as a data analyst or in a similar role within the P&C insurance industry.
- Strong knowledge of P&C insurance, particularly policy and claims management systems.
- Proficiency with data analysis tools and programming languages such as SQL, Python, and R.
- Experience with cloud-native technologies, data modeling, data governance, and master data management.
- Strong analytical, communication, presentation, storytelling, collaboration, and problem-solving skills, plus experience with Agile tools such as Jira and Confluence.
Nice to have
- Exposure to modern data platforms and cloud-based analytics environments.
- Experience supporting data governance initiatives.
- Experience managing or working closely with development teams.
- Experience performing product owner responsibilities.
Culture & Benefits
- Inclusive culture centered on talent, thoughtful risk-taking, execution, efficiency, leadership, collaboration, and belonging.
- Health insurance coverage, life and disability insurance, and an employee wellness program.
- 401(k) match and retirement savings plan.
- Paid holidays and paid time off.
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