Business Data Analyst

Business Data Analyst (Property & Casualty Insurance)

Location: New Jersey (Hybrid)

Responsible for business analysis and data analysis; ability to work independently with large datasets/extracts for analysis and inferences.

Responsible for data analysis and provide insights on the data to the development team.

Interview stakeholders to elicit business requirements and document the same.

Develop data mapping and transformation strategies to ensure seamless data integration and consistency between legacy systems and cloud platforms.

Collaborate with the various teams (i.e., business, development and QA) to ensure that tasks are handled and brought to closure in an efficient and timely manner.

Gains an in-depth understanding of application functionality and the business processes supported by these applications.

Understand and meet the customer and senior management expectation on the delivery of the assigned tasks and keep them updated.

Provides knowledge transition and training on supported applications to other team members when needed.

Conduct business in a professional and ethical manner to reinforce goodwill and profitability for the company.

7-8 years' experience in business analysis, application support, data analysis with an understanding of software development lifecycle.

Ability to exercise judgment using procedures and practices to determine the appropriate course of action and possess creative problem-solving skills.

Successful candidate must have high level of interpersonal skills to communicate effectively with business stakeholders and internal IT team members.

Clear and concise documentation skills.

Excellent organizational, communication, comprehension, follow through, and documentation skills are required.

Willingness to learn and adapt to new skills/technology.

Assume initiative and ownership of tasks assigned.

Successful candidate must work well in a group, as well as alone and unsupervised.

Highly proficient in SQL querying and data profiling tools.

Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret complex data and provide actionable insights.

Communication Skills: Excellent verbal and written communication skills, with the ability to articulate technical concepts to non-technical stakeholders.