• Perform data cleaning, preparation, reporting, and data analysis

• Assembling large, complex sets of data that meet non-functional and functional business

requirements

• Perform data extraction, aggregation, and quality checking from multiple sources and tables in

support of trend identification, root cause analysis, and validation of the performance measures

• Support development and maintenance of a data pipeline and data warehouse

• Support troubleshooting data pipeline and data warehouse issues

• Create and maintain optimal data pipeline architecture

• Implements processes and systems to monitor data quality, ensuring production data is always

accurate and available for key stakeholders and business processes that depend on it.

• Designs data integrations and data quality framework

• Performs data analysis required to troubleshoot data related issues and assist in the resolution of

data issues