Hybrid Senior Data Analyst- Enterprise Data Senior Data Analyst- Enterprise Data

Vantage Group Holdings Ltd. (Vantage) was established in late 2020 as a re/insurance partner designed for the future. Driven by relentless curiosity, our team of trusted experts provides a fresh perspective on our clients’ risks. We add creativity to tech-enabled efficiency and robust analytics to address risks others avoid. Vantage provides specialty re/insurance through its operating subsidiaries in Bermuda and the U.S.

Vantage has approximately 340 colleagues in both the United States and Bermuda. We have offices in Chicago, IL, Norwalk, CT, Alexandria, VA, Boston, MA, New York, NY and Hamilton, Bermuda.

Role:

At Vantage, the Senior Data Analyst supports all data analysis work associated with our insurance systems development, including conversion analysis, data preparation for conversion, reference tables, and analysis for feeding downstream systems such as our EDW, Oracle GL, and Ceded Reinsurance. This role will work closely with business functions, operations, and application leads to prioritize requirements and maintain a groomed backlog of user stories documenting the business case and voice of the customer. Additional responsibilities include managing the inventory of pending development activities, ensuring developers understand tasks, validating developers’ work, and obtaining business sign-off.

The Senior Data Analyst will collaborate with the AVP, Insurance Enterprise Data to set priorities across all functional areas of the business. This role also works closely with the Technical Data Manager to manage the release process and communication to business users as changes are deployed.

The base salary for this position will range between $115,000 to $150,000 depending on level of experience. Additionally, Vantage offers its colleagues performance-based bonus potential, strong health & welfare benefits, retirement plans with company match, competitive time off plans, a highly flexible work environment, and much more.

Responsibilities & Accountabilities:

• Supports the AVP, Insurance Enterprise Data to ensure effective and timely development of new and/or enhanced systems/technologies.
• Provides deep technical and business analysis of data such that developers can effectively create solutions that assist leaders with data-driven decision making.
• Creates Source to Target mappings with support of functional business representatives.
• Owns the process of user and technical story writing for all work to be delivered.
• Maintain groomed backlog, ensuring each story contains a clear concise description, acceptance criteria, is pointed by developers, and is clear about the business deadline.
• Owns the process of obtaining business sign off on all stories being deployed as well as ensuring code is release to production on a timely basis. Will require close consult with developers to ensure proper evidence is provided.
• Completes business analysis activities and supports the development team in the understanding of the analysis.
• Provides support in the build out of quality assurance of projects for assigned systems/technologies through vendors, system integrators and internal development teams.
• Designs test cases and testing scenarios working with QA engineers.

Ideal Candidate Profile:

• Bachelor’s degree in Computer Science, Information Systems or a related field.
• 5-7 years of related data analytics/data platform experience.
• Strong knowledge of Property and Casualty Insurance, including policy life cycle, policy structure, along with core data elements typically captured.
• Basic SQL skills, and ability to read/understand ETL code and logic.
• Experience with various data architectures (ODS, Data Lake, Data Marts, etc.)
• Experience working with financial data, in particular feeding General Ledger and financial results reported externally.
• Strong communication skills. Must be comfortable speaking with and presenting to developers and business leaders with respect to data solutions and challenges.
• Sharp analytical skills – ability to triage data issues and recommend corrective action.
• Ability to multi-task/focus on multiple projects in a fast-paced environment.
• Keen understanding of data transformations using Reference/Master data.
• Understanding of software development techniques, processes, methods, and best practices. Proficiency with various programming languages used.
• Exposure to cloud implementations using structured, semi-structured and unstructured data methods.
• Knowledge of application deployment & test automation products, processes, and best practices to ensure full source to target reconciliation.
• Good understanding of Agile development methods and their application to company technology needs.

Vantage Values

Do What’s Right – be a force for good, for our customers, shareholders, colleagues, industry and communities.

Be Relentlessly Curious – ask questions, listen to understand, challenge the status quo, look for ways to say YES, drive innovation, be opportunistic and disciplined.

We’re Better Together– collaborate, be inclusive, supportive, respectful and humble, be a trusted partner internally and externally.

Be Transparent – in who you are, what you think, and how you work, seek and provide alternative points of view, be true to yourself.

Make A Difference –focus on impact, embrace technology, leverage data and analytics as critical assets, act intentionally to deliver on our mission.