Job Specifications:
- Bachelor's Degree preferred, and/or equivalent experience
- 2+ years of experience with demonstrated success at the Associate level in Data Analysis or equivalent experience, and working as part of an Agile team
- Takes an innovative approach to problem-solving
- Strong written communication skills to document and communicate requirements
- Knowledge of SQL
- Understanding of data profiling and analysis concepts, including data anomalies and data mapping activities.
- Ability to manage multiple tasks by paying close attention to detail
- Ability to embrace change, adapt to the unexpected, and focus energies, people, and solutions on practical and positive results
- Strong team player; able to work effectively within a team and more broadly with people from a variety of backgrounds and areas across the organization.
- Self-motivated and results-oriented
Principal Duties and Responsibilities:
- Collaborate with stakeholders across business and technical teams (e.g., architects, developers, UX, engineers) to define and refine user stories and requirements with clear acceptance criteria.
- Translate business objectives into user stories, workflows, and data-driven features that support modernization efforts and the consolidation of legacy applications.
- Lead backlog grooming and decomposition, ensuring alignment with enterprise quality standards, planning horizons, and data integrity across tools.
- Elicit and document business requirements through interviews, workshops, workflow analysis, and systems documentation
- Participate in and support Agile ceremonies, including daily stand-ups, planning, retrospectives, and test activities.
- Serve as a change agent by identifying, evaluating, and implementing process improvements and innovations that reduce waste and increase delivery efficiency.
- Conduct data profiling and analysis to evaluate data sources to determine the best source for business information.
- Complete source to target data mapping specifications (e.g. source to target can be from one DBMS table to another DBMS table, from a DBMS table into a canonical message structure, etc.)
- Develop and maintain knowledge of the insurance industry.
- Develop and maintain knowledge of data stored in company databases.
- Adhere to approved architectural standards.
- Thinks with the mind of the end customer at all times, ensuring solutions seek to improve the customer experience and delight their customers.