Data Analyst

Must-Have:
- 5 to 7 years of work experience in large-scale Data applications doing Data Analysis, Data Mapping, and Data Transformations.
- Very good Verbal & Written communication & tracking skills
- SQL, business requirement gatherings, Source-to-target mappings (STTM) writing
- Should have exposure to data consolidation, transformation, and standardization from a different system
Experience in Snowflake, Any relational DB
- Experience with Insurance (Property and Casualty Insurance - P&C) Domain clients.
- Be a self-starter person
- Must be able to integrate quickly into the team and work independently towards team goals

Nice to Have:
- Experience in any of the cloud (AWS/Azure/GCP), preferred is AWS
- Python exp
Role & Responsibilities:
- Act as liaison between the technical and business teams.
- Should be able to connect with Client SME & understand Functionality, Data
- Should be able to do Data Profiling - Understand the quality of Data and critical Data elements- How to standardize Reference, and master data across systems
- Work Data mapping, Data lineage docs, data models, and design docs that allow stakeholders to understand data mappings & transformations.
Key Skills: Data Analysis, Mapping, Transformation, and Standardization. SQL, Data Modelling, Requirement Understanding, STTM writing, Finance or Insurance Domain understanding