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Job Summary
10 years of experience in data warehouse concept ETL processing Data analysis and visualization within financial services strong preference for life & Retirement insurance experience
Years of experience needed 10 Years
Technical Skills:
- 10 years of experience in data warehouse concept ETL processing Data analysis and visualization within financial services strong preference for life & Retirement insurance experience.
- Proficiency in SQL Python Unix shell scripting or other programming languages for data manipulation and analysis.
- Experience with cloud platforms (AWS Azure) and data warehouses esp. Snowflake.
- Expertise in BI tools such as Cognos Qlikview Power BI Tableau Business Object etc.
- Strong understanding of ETL processes and data pipeline development.
- Proficiency in design and development of ETL jobs using datastage and Talend Framework
- Working experience with various Databases like Oracle SQL server snowflake. Familiarity with ODBC connections data sources and working with large datasets across multiple platforms.
- Experience with data governance frameworks and tools
- Ability to work with large datasets and develop insights that drive business strategy.
- Strong problem-solving skills and the ability to work independently and in cross-functional teams.
Responsibility:
- Gather clean and structure raw data from multiple sources (internal systems APIs third-party data)
- Design & Develop optimized SQL queries ETL jobs using DataStage Talend framework to extract transform and load data from multiple sources.
- Support processes to improve data quality consistency and accessibility.
- Ensure data integrity perform validation checks and resolve discrepancies for reporting and analytical teams.
- Design and develop interactive dashboards and reports using tools such as cognos Qlikview Business Object Power BI and Tableau
- Translate complex datasets into easy-to-understand visualizations for business users.
- Optimize dashboard performance and automate reporting processes.
- Collaborate with stakeholders to define KPIs and key business metrics.
- Provide ad hoc analysis and support for strategic initiatives by utilizing clear data storytelling to drive business insights.
- Support the transition from legacy reporting solutions to scalable automated BI solutions.
- Implement best practices for data integration and management to support long term business intelligence initiatives.
Full-time