Data Analytics & Business Intelligence Professional
Description
- Understand and review existing database structures and schemas
- Translate business requirements into structured data models
- Build and maintain in-house data models using Power BI or similar tool.
- Develop complex Oracle, SQL queries for data extraction and transformation
- Design and optimize fact-dimension models
- Work closely with business stakeholders (Sales, Investment, Operations, Compliance, Marketing)
- Ensure data accuracy, validation, and governance controls
- Identify gaps in current data architecture and propose improvements
- Support automation of MIS reporting processes
- Collaborate in future data warehouse migration or ETL activities
- Document data definitions, logic, and reporting structures
- Strong hands-on experience in Oracle, SQL (mandatory)
- Experience in Power BI (DAX, Tabular Model, Data Modeling)
- Understanding of Data Warehousing concepts (Fact, Dimension, ETL basics)
- Ability to create optimized queries and performance tuning
- Experience in handling large datasets
- Understanding of database normalization and schema design
- Exposure to data governance validation processes
- Experience in Mutual Fund Services domain
- Knowledge of SharePlex / replication systems
- Basic ETL tools knowledge
- Python for data processing
- Exposure to cloud-based BI tools
- B.Tech / BE / MCA / M.Sc (IT / CS / Data Science)
- 4-8 years relevant experience
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