Business Analyst,Data warehouse, ETL

Job Description :

The Business Analyst will be responsible for Medicaid Enterprise data warehouse design, development, implementation, migration, maintenance, and operational activities. The candidate will closely with Data Governance and Analytics team. Will be one of the key business/technical resources for data warehouse projects for various Enterprise data warehouse projects and building critical data marts, data ingestion to Big Data platform for data analytics, and exchange with State and Medicaid partners. This position is a member of Medicaid ITS and works closely with the Business Intelligence & Data Analytics team.

Responsibilities:

• Participate in Team activities, Design discussions, Standup meetings, and planning Review with the team.

• Eliciting, analyzing, and documenting functional, non-functional, and data requirements.

• Document business requirements, meeting minutes, and key decisions/actions.

• Perform business data analysis, data profiling, data cleansing, and data quality analysis in various layers using Database queries both in Oracle and Big Data platforms.

• Lead client meetings and sessions with data-driven analysis to clarify requirements and design decisions.

• Perform data gap and impact analysis due to new data addition and existing data changes for any new business requirements and enhancements.

• Follow the organization design standards document, create data mapping specification document, pseudo-codes for the development team(s), and design documents.

• Create logical & physical data models.

• Review and understand existing business logic used in Oracle and Hadoop ETL platforms to verify against the business user needs.

• Review PySpark programs that are used to ingest historical and incremental data.

• Review SQOOP scripts to ingest historical data from Oracle database to Hadoop IOP, created HIVE tables and Impala view creation scripts for Dimension tables.

• Assist Data Analysts to create Test plans, Design Test scenarios, SQL scripts (prefer Oracle and Hadoop), test or mockup data, executes the test scripts.

• Validate test results and records as well as log and research defects.

• Analyze production data issues, report problems, and find solutions to fix the issues, if any.

• Create incidents and tickets to fix production issues, create Support Requests to deploy code for the development team to the UAT environment.

• Participate in meetings to continuously upgrade the Functional and technical expertise.

• Establish priorities & follow through on projects, paying close attention to detail with minimal supervision.

• Create and present project plan, project status, and other dashboards as necessary.

• Perform other duties as assigned.

Detailed Day-To-Day Job Duties to be performed:

Responsibilities:

• Participate in Team activities, Design discussions, Stand up meetings, and planning Review with the team.

• Eliciting, analyzing, and documenting functional, non-functional, and data requirements.

• Document business requirements, meeting minutes, and key decisions/actions.

• Perform business data analysis, data profiling, data cleansing, and data quality analysis in various layers using Database queries both in Oracle and Big Data platforms.

• Lead client meetings and sessions with data-driven analysis to clarify requirements and design decisions.

• Perform data gap and impact analysis due to new data addition and existing data changes for any new business requirements and enhancements.

• Follow the organization design standards document, create data mapping specification document, pseudo-codes for the development team(s), and design documents.

• Create logical & physical data models.

• Review and understand existing business logic used in Oracle and Hadoop ETL platforms to verify against the business user needs.

• Review PySpark programs that are used to ingest historical and incremental data.

• Review SQOOP scripts to ingest historical data from Oracle database to Hadoop IOP, created HIVE tables and Impala view creation scripts for Dimension tables.

• Assist Data Analysts to create Test plans, Design Test scenarios, SQL scripts (prefer Oracle and Hadoop), test or mockup data, executes the test scripts.

• Validate test results and records as well as log and research defects. • Analyze production data issues, report problems, and find solutions to fix the issues, if any.

• Create incidents and tickets to fix production issues, create Support Requests to deploy code for the development team to the UAT environment.

• Participate in meetings to continuously upgrade the Functional and technical expertise.

• Establish priorities & follow through on projects, paying close attention to detail with minimal supervision.

• Create and present project plan, project status, and other dashboards as necessary.

• Perform other duties as assigned.