About the role
Responsibilities:
- Interact with stakeholders to understand and implement new business requirements.
- Bring best practices to the table to enhance data warehouse efficiency.
- Build processes and methodologies to implement new solutions.
- Design interactive analytics dashboards to provide customers with actionable insights.
- Analyze the existing data solutions to provide business solutions with quick turnaround.
- Contribute to and create a motivating work environment within the team.
- Mentor other team members and promote opportunities.
- Stakeholder management.
Requirements:
- Must have good domain knowledge in P& C Insurance (preferably in the US market).
- Should have a strong understanding of data warehouse concepts and exposure to at least two data warehouse implementation projects.
- Should have worked on at least 3 AIML / Gen AI projects end-to-end.
- Experience using GenAI tools (Copilot/ChatGPT/Claude) to accelerate BI tasks such as requirement gathering, data exploration, SQL drafting, and documentation.
- Should have proficiency in writing SQL queries and pulling ad hoc data. Ability to validate and refine GenAI-generated SQL, insights, and narratives, ensuring accuracy and alignment with source data.
- Awareness of responsible AI usage, including data privacy, hallucination checks, and governed use of enterprise LLMs.
- Should be able to handle multiple time-sensitive bug/enhancement requests.
- Should have the ability to drive requirement-gathering sessions, translate them into business intelligence solutions, create functional documentation, and write specifications for the development team.
- Should have experience in designing DWH data models and data marts and exposure to tools like Toad Data Modeler or similar tools.
- Should have experience in source system study, source-to-target mapping (ETL specs), and report specification.
- Should have experience in supporting the Data Engineering team, Report Development team, Quality Analyst team, etc.
- Should be able to support user acceptance testing and production bugs.
- Should have exposure to data analysis and visualization tools like Power BI or similar tools.
- Should be able to work independently and take ownership of end-to-end deliverables.
- Should have 10 years+ relevant experience.