Vacancy caducado!
- Extracts data from primary and secondary sources and assess the quality and meaning of data, translates data into a readable format. Uses statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for diagnosis and prediction.
- Collaborates with ETL developers, business intelligence developers, data scientists, and senior leaders to identify process improvement opportunities, proposes system modifications, and devises data governance strategies to incorporate best practices and policies.
- Performs exploratory data analysis and scrutinizes data to recognize and identify patterns. Uses data modeling techniques to create summaries and key observations for functional service lines e.g., Data Architecture, Data Governance, Business Intelligence, and Data Science.
- Collaborates with the Data Science team for sourcing external data and ingesting into the Data Science development environment. Maintains the Data Science database instance and all datasets that have been scoped for analysis.
- Develops and leads multiple cross-departmental projects and establishes effective working relationships with assigned client groups to deliver business results. Engages with cross functional teams on integration efforts for merging data platforms with enterprise systems and applications.
- High School Diploma/GED required.
- Bachelor's degree in Computer Science, Information Systems, Business Administration, Finance, Management Information Systems, Mathematics, Physics, Engineering, Statistics, Economics, and/or related field preferred.
- Minimum 3 years in Data Analytics/Reporting, Information Management Systems, Business intelligence tools, and/or related.
- Advanced experience and knowledge of Excel, data visualizations, analytics.
- Intermediate experience and knowledge of SQL programming.
- Intermediate experience and knowledge of ETL framework and ETL tools including Microsoft SSIS.
- Intermediate experience and knowledge business intelligence tools (Power BI, SSRS, SSAS, Tableau).
Vacancy caducado!