We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

Key Responsibilities

• Applies strong functional knowledge and elicitation techniques necessary to draw out data and analytics business requirements completely and accurately from stakeholders.

• Performs requirements planning, monitoring and requirements management.
• Performs data analysis, data discovery and data profiling using industry standard querying tools (SQL) to support business requirements development that are complete, clear, unambiguous, well written and appropriate to the audience.
• Maintains data mapping documents, bus matrix and/or other data design artifacts that define business data requirements and transformation rules.
• Leverage generative AI insights for business analysis by understanding enterprise-grade GenAI pipelines, prompt engineering techniques, and Retrieval-Augmented Generation (RAG) concepts to support data-driven decision-making.
• Apply advanced data strategies through awareness of vector and graph databases, unstructured data processing, and optimization approaches to enhance analytics and reporting capabilities.
• Enable intelligent workflows by incorporating agentic AI concepts and emerging technologies into business processes, ensuring scalable and innovative solutions for complex data challenges.
• Collaborate with high-performing teams, Product Owners, and business stakeholders
• Identifies choices and improvement opportunities to better align own work with the direction and strategic priorities of the broader organization.
• Ability to operate successfully in a lean and fast-paced organization, leveraging Scaled Agile principles and ways of working.

Required Skills & Experience:

• Bachelor's degree in computer science, Artificial Intelligence/ Data Science, Information Technology, or similar majors.
• Experience in business requirements or data analysis working with data warehouses or reporting/analytic projects.
• Experience/proficiency with Industry Standard querying tools (SQL).
• Analyze and interpret complex data sets to identify trends, patterns, and insights that inform business decisions, leveraging awareness of generative AI concepts such as RAG and prompt engineering.
• Collaborate with cross-functional teams to design and implement data strategies, ensuring effective use of structured and unstructured data, and optimizing data flows for reporting and analytics. (2+ years – Intermediate)
• Develop and maintain advanced analytical workflows by incorporating emerging AI-driven techniques, agentic processes, and database solutions to support scalable, innovative business solutions.
• Strong critical thinking skills and analytical ability.
• Proven ability to organize and manage multiple priorities in a timeline-driven environment.
• Experience working in an Agile team environment.
• Detail oriented with strong communication skills both verbal and non-verbal.

Nice to Have

• Hands on experience with Oracle & Snowflake
• Prior experience working on a large Data Warehouse On-Prem to Cloud transformation program
• Demonstrated aptitude for learning while having achieved AWS/ GCP/ Snowflake/ AI certifications

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