Vacancy expired!
- Participate in the collaborative ad hoc / analytical process to address business and technical information needs
- Audit / analyze new data for duplicates and tie out
- Be the subject matter expert for pulling data, organizing and analyzing data with client analytic partners
- Work with others on data feasibility, best practices, and limitations of the data
- Oversee data transformation, normalization, cleansing, aggregation, workflow management and business rule application in order to apply best practice analytic methods
- Load, process, and manage manually pulled data feeds in order to analyze data as needed
- Contribute to the development of business roadmaps to inform client of different aspects of the data or different perspectives in which to present the data to executive leadership
- Proficiency in effective report/dashboard design and standards in Tableau or others
- A deep knowledge of Relational Database Management Systems and how to build ad hoc OLAP from OLTP data
- Familiarity with data preparation, processing, classification, and auditing before presenting analytical results
- Comprehensive experience with stored procedures and query tools. Strong SQL skills required.
- Tableau, ETL and data architecture management experience
- Knowledge and experience using Big Data and related technologies (Phoenix, hive) a plus
- Experience using analytic functions within different SQL environments
- Knowledge and experience using AWS Athena, AWS Glue, and other AWS technologies
- Define and manage critical data using Master Data Management solutions
- Good collaboration and idea sharing in a team environment
- Bachelors' Degree in Information Science, Computer Science, Engineering or related field
- 2+ years hands-on, in-depth experience with PL-SQL, T-SQL, Hive, Presto, or PostgreSQL and stored procedure development
- 2+ years working experience with Tableau
- Excellent ETL / ELT understanding
- Familiar with Gitlab and Jira tools
- Familiar working in an agile type environment
- 2+ years hands-on experience within the Data Management and Information Management disciplines
- 2+ years of development experience
Vacancy expired!