Business Data Analyst leveraging data analysis and BI to improve client outcomes in Insurance domain. Involves data transformation, reporting, and liaising with technical and business teams.
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
Requirements
3-6 years of work experience in large-scale Data applications doing Data Analysis, Data Mapping, and Data Transformations
Experience in Snowflake, Any relational DB , BRD creation, requirements gathering
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
Experience with Insurance (Property and Casualty Insurance - P&C) Domain clients. Policy & Claims lifecycle and reinsurance business is a must.
Must be able to integrate quickly into the team and work independently towards team goals
Knowledge of Data Vault 2.0, Data Modeling
Familiarity with Tableau and Cognos for advanced BI and reporting capabilities.
Experience with Tableau, including effective spreadsheet modeling and advanced functionalities
Proficiency in DevOps tools and practices (e.g., Jenkins, Git) with experience in CI/CD pipelines.
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