Jr. Security Data Analyst - Technology Associate Program (TAP)
Chubb is looking for individuals passionate about technology to join our Technology Associate Program (TAP). The Technology Associate Program is a two-year program designed for early career IT professionals to help them develop expertise and technical acumen as a technologist. By joining the Technology Associate Program, you will be offered the following:
On-the-job and educational technical training (offered through Pluralsight) to enhance skills within your chosen discipline
Business acumen and professional development training specific to IT and an understanding of our broader industry
Networking opportunities with IT and Business leaders and TAP associate peers
The Global IT Security team seeks a motivated individual for data analysis on Chubb's secure data. This position offers growth and learning opportunity in a group of experienced peers, while contributing value and helping ensure the security and privacy of data at one of the world's largest providers of commercial property and casualty insurance and reinsurance.
What about you?
You are highly collaborative, creative, and intellectually curious individual who is passionate about technology.
You have the ability to learn technical concepts quickly
You are organized and able to adapt to change
You are a natural leader and work well with both a team and independently
You are a self-starter and motivated to learn and succeed.
You pay attention to the details without losing sight of the big picture
Support strategy delivery through current system analysis, data profiling, data collection, etc.; Analyze data to validate business needs, understand gaps, quality concerns, etc.
Utilize data and analytics abilities to deliver high quality information solutions
Create test scenarios, develop test plans, and test/validate data. Analyze results.
Work with large sets of data that require analysis, validation and cleansing using various tools such as SQL queries, Microsoft Excel
Review, document and resolve data issues with the team.
Convey problems, solutions, updates and project status to peers and management.
Develop and maintain clear and succinct documentation.
Participate in data quality reviews and resolve data quality problems.
Reconcile multiple data sources.
Provide strong support in cultivating an environment that encourages the use of data to support problem solving, critical thinking, and innovation.