Data Analyst at Chubb in Whitehouse Station, New Jersey

Job Description:

Job Description

Data is at the core of our business.   The Data Analyst serves as a key resource in building and executing on Chubb's information strategy.  This individual will work with key stakeholders, business partners, and IT counterparts to define requirements, identify source data, assist with high level data designs, create data model artifacts, analyze, and troubleshooting data issues.  S/he will play a key role in data integration efforts by working with ETL developers, data testers, and report developers to form a cohesive unit responsible for providing business information.

The ideal candidate for this role is a self-starter who will take ownership of your projects and deliver high-quality data-driven solutions.  You are adept at solving diverse business problems by utilizing a variety of different tools, strategies, and methodologies.  You should be comfortable working with data in varying technology platforms, data types, and formats.  In this role you will become a steward of the data. 

Essential Qualifications

• Senior level data analysis capabilities, experience using SQL to facilitate the data integration process through profiling data, understanding relationships in the data, and validating the integrity of the data.


• Ability to synthesize data, uncovers inherent trends in data, assess impacts of data on business usage, and make recommendations for improvement.


• Experience using data modeling tools such as ERwin Data Modeler to create conceptual, logical, and physical data models.


• Prior experience working in the Property and Casualty Insurance domain a must have. Prior experience working in a data warehouse environment or on application integration projects a strong plus.


• Experience in data mappings, documenting transformation rules, requirements gathering, and testing.


• Self-motivated and innovative with the ability to set direction, manage own work, and effectively obtain results from others.

Skills

• Strong influencing & partnership skills; ability to work collaboratively with business and IT counterparts.


• Exceptional communication & interpersonal skills, verbal & written


• Ability to multi-task & adapt within a constantly changing environment


• Strong organizational & analytical skills, high attention to detail


• Ability to interpret and comprehend complex problems


• Ability to identify and prioritize dependencies


• Excellent organization and problem solving skills.


• Ability to gain a complete understanding of systems, data flows, integration points, and quickly asses the impacts of changes.

Responsibilities

• Analyze business procedures and requirements to recommend specific types of data that can be used to improve upon them.


• Build and maintain relevant data dictionaries.


• Work with ETL development teams to provide data mappings, rules, and clarifications.


• Facilitate the data testing process by providing inputs on systems, data flows, and field level values.  As well as reviewing test cases and ensuring quality data is promoted. 


• Work with business stakeholders to outline the specific data needs for each project.