Business Analyst IC

• AI‑First Business & Product Thinking
  • Strong interest in using AI tools (e.g., Copilot, GenAI assistants, analytics tools) to learn faster, analyze problems, create user stories, and improve communication.
  • Ability to understand business problems and translate them into clear requirements, user stories, and acceptance criteria with guidance.
  • Foundational understanding of Property & Casualty Insurance concepts or strong willingness to learn domain quickly.
• Agile, Delivery & Cross‑Functional Exposure
  • Basic understanding of Agile delivery concepts (Scrum / Kanban) through coursework, internships, or projects.
  • Exposure to tools like JIRA (or similar) for tracking work items and learning backlog concepts.
  • Awareness of system integrations, APIs, and data exchanges (XML / JSON) at a conceptual level.
  • Willingness to work across BA, Product, QA, and Engineering teams, learn beyond a single role, and step in where needed to support delivery.
• Data, Analysis & Reporting (Foundational)
  • Basic knowledge of SQL concepts and ability to write simple queries or analyze datasets with guidance.
  • Ability to work with data to validate assumptions and support decision‑making.
  • Exposure to Power BI or other reporting/visualization tools (good to have).
  • Curiosity to use AI to speed up analysis, learning, and insight generation.

Process Specific Skills

• Foundational understanding of Agile and Waterfall methodologies through education, training, or internships.
• Comfortable working in fast‑paced environments with evolving requirements and feedback.
• Interest in Insurance (P&C) or technology‑driven business domains preferred.

• Strong analytical thinking and problem‑solving skills.
• Clear communication skills and ability to ask the right questions.
• Ability to collaborate across functions (business, QA, engineering) and learn from senior team members.
• Good time management and organization skills.
• Strong ownership mindset, curiosity, and willingness to learn continuously.
• Open to experimentation, feedback, and AI‑enabled ways of working.