Responsibilities :
- Understanding the client requirements end to end, put those requirements into algorithm and implement those into actionable insights.
- Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices using SQL queries. The candidate must be able to work independently and collaboratively.
- Team handling experience is must.
- Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics)
- Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
- Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
- Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
- Hands-on modeling, design, configuration, installation, and performance tuning.
- Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.
- Good understanding of data, Analyzes the data and provide insights and recommendations for organizational planning and operations.
Qualifications :
Minimum qualifications :
- Graduate/ Post Graduate.
- Robust Data Understanding
- Hands on experience on SQL query designing and data modeling
- Team handling experience is must.
Preferred qualifications :
- B. Tech/ M. Tech, MBA, Science Graduate/ Post Graduate would be preferred.
- Good to have SAS experience
- Good to have - BFS business Knowledge
- Strong Communication - Both Written and Vocal
- Strong Analytical Skills
- Ability to prioritize effectively, be flexible as needs change
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