- Analyze and interpret complex data sets to provide actionable insights.
- Utilize strong experience in Azure Synapse, Python, PySpark, and ADF for data analysis tasks.
- Proficiently use SSIS, SSRS, and SQL Server for data integration and reporting.
- Write and optimize SQL queries, stored procedures, and functions with hands-on experience in Power BI.
- Communicate findings effectively to stakeholders, including management and clients.
- Collaborate with cross-functional teams to ensure data accuracy and consistency.
- Apply functional experience in the banking domain, with a strong focus on credit data analysis and reporting.
- Provide insights and recommendations based on credit risk assessments and other credit-related data.
- Familiarity with banking regulations and compliance standards.
- Ability to work independently and in a team-oriented, collaborative environment.
- Good communication skills for effective stakeholder engagement.
- Experience in collaborating with business teams and Development team in terms of requirement gathering and converting them into BRD(user stories)
Collaborate and work with business in Testing and UAT as needed.