Prasanna Devi
- Role
- Bi Business Analyst Data Analyst at Fidelity Investments
- Location
- Houston, TX, US
- LinkedIn followers
- 500 followers
About Prasanna Devi
Overall 8 Years of experience in Data Analyst, Business Analyst, and Business…
Experience
Bi Business Analyst Data Analyst
Apr 2021 — Present · NC, US
Roles & Responsibilities: • Development and support of the key data integration and migration initiative for the conversion, integration and migration of data from different legacy systems to the central database system, from where it will be consumed for further business decisions. • Perform periodic review of Email notification & templates for Problem, Incident, Portfolio Management, Asset Management, Release, and Change Management etc. • Participate in testing, issue resolution, support the implementation checkout process and facilitate the development of all procedural documentation and manuals. • Identify project interdependencies, communicate requirement/scope issues, and participate in driving them to resolution for inclusion in system requirements. • Created and wrote the MySQL query to import data from the external discovery tool database into configuration and data analysis of the imports, and to insure there were no gaps or issues. • Elicited and facilitated functional and technical documentation for new product and enhancement releases. • Developed and facilitated quality assurance strategies, which included test plans, test cases, user acceptance testing, unit and system testing. • Use Issues Log to control and mitigate risk for assigned issues to meet controlled floating dates and Track wise business rules. • Worked on statistical languages (SAS, Python) to Clean, Integrate, Transform, Reduce, Analyse and Interpret large sets of Data. • Worked closely with the SACM team to identify, control, record and report Services and Configuration Items to their attributes, relationships, and proper maintenance throughout their lifecycle. • Converted business requirements into data mapping, data requirement, ETL processing rules and verified data models consistency and documented GAP analysis and data profiling of the source systems
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