Description: On Capital IQ platforms of S&P group where a client can view all the information which is pertinent for any sort of investment. These platforms shares financial, market data and transactional information for equities, indices, fixed income and other investing options.
Responsibilities:
- Hands-on experience in the areas of Application Design, Code Development, Testing, Support, Upgrade, Maintenance, and Implementation of Business Intelligence projects.
- Involved in performance tuning by checking the loads on Indexes by using SQL profiler and Tuning advisor
- Strong Dashboard design experience and passionate practitioner of effective data visualization with best practices around visualization and design.
- Extensive experience in Business Intelligence in MS SQL Server Integration Services SSIS, MS SQL Server Reporting Services SSRS .
- Good at developing reports using different Reports Tools SSRS, Tableau , and MS Power BI.
- Created Star schema dimensional modelling for the data mart and created dimension and fact tables based on the business requirement.
- Design and implement the ETL processes using SSIS which involves collection of data from sources like SQL Server.
- Created many calculated columns and measures using DAX in Power BI based on report requirements complex T-SQL queries, stored procedures and SSIS packages to load the data into warehouse.
- Designed and built OLAP cubes to meet reporting needs.
- Developed and implemented data models and data warehouses using Snowflake .
- Generated Reports using Global Variables, Expressions and Functions for the reports using SSRS 2012/2008.
- Knowledge in creating KPI's , Perspectives, Partitions using SSAS . Created Power view reports using the Tabular SSAS models in Excel.
- Created jobs for automatically running Stored Procedures for day-end operations using SQL Server agent such as index rebuild, data loads and summary reports.
- Designed SSRS reports with dynamic sorting, defining data source and subtotals for the report. Developed in deploying SQL Databases in AZURE .
- Experience on Structured data analysis utilizing SQL, Tableau, Excel, and Python.
- Automated Power Query refresh using power shell script and windows task scheduler.
- Construction and documentation a number of technologies were utilized, including Confluence for all project-related documents, JIRA for regular development activities, and QC for defect management.
- Experience in AGILE Methodology projects.
Environment : Power BI, DAX, OLAP, SSRS, SSAS, SSIS, KPI, Excel, Power View, Azure, SQL, Tableau, Python, Shell Scripts, Jira, Agile, T SQL, Snowflake, ETL, Tableau, MS SQL, Star, Power Query.