Data analyst Resume

Candidate Pitch:

Sr. Data Analyst Responsibilities: • Responsible for the Creation of Data Standard Definition IDs and Data Standard Definition Name • Responsible for Axon Modification Request Submission to get Glossary Identification Numbers from Global Resource Solutions Team • Responsible for Data mapping & updating multiple documents like Billing Management Systems (BMS), Query Language Data Base (QLDB), Worker Compensation ADW Field Analysis, Duck Creek to LDW, and Legacy-Duck Creek Valid Values Mapping. • Responsible for creating & updating Jira Stories for upcoming sprints • Actively participated in Updating the Valid Value Mapping Process • Responsible for Translation tables (“Xref” tables) that are used to translate a value from system to system. Reference Table Management Interface (RTMI) Table Creation using Valid values • Involved in raising CIREF application for requesting a new table to RTMI • Designed and deployed reports with Drill Down, Drill Through, and Dropdown menu options and Parameterized and Linked reports using Tableau. • Responsible for adding new fields, querying to get all custom fields with the business name & description • Responsible for creating the templates to add new fields, and uploading Mapping details from Duck Creek on Demand (DCOD) to Data Lake in Data Mapping Tool. • Hands-on experience with Duck SQL API to fetch the data from the database. • Performed data analysis and data profiling using complex SQL queries, Facets as the source, and SQL Server as the database. • Verified and reviewed the extended fields that are populated in UAT Environment • Actively participated in all Daily standups, agile meetings, and Scrum meetings and was involved in all the Retrospective meetings. • Responsible for updating transformation rules for merge with Legacy & Downstream Transformation Rules. • Responsible for resolving data investigation issues and providing granular level information related to it and updating in Jira. Programming Languages: Java, Python, R, SAS, PL/SQL, SQL, Azure SQL, C , Excel Operating Systems: Windows, Linux, Mac Data Analysis Requirement Analysis, Business Analysis, Detail Design, Data Flow Diagram, Business Rules, Data Modeling, Data Warehousing, System Integration, Mix panel Database Management tools MS Access, MS-SQL, NOSQL, RDBMS, Azure Cosmos dB Web Design: Web, XML, HTML, Dream weaver MX, MS Front Page, Java Scripts Front End Suite: MS Office suite, MS Visio, MS SharePoint, MS Project Methodologies: Agile Methodologies, Digital Product Management (DPM) BI Tools: Business Objects, Cognos reports, Crystal reports, Alteryx, Hyperion Reports, Power BI, Tableau Other Tools: Quick Test Pro, Adobe Photoshop, Bug Tracker.