Educational

Background in SQL, databases and/or data science OR​ BS/MS in software engineering, computer science, mathematics 

Responsibility

Document data sources in enterprise data catalog with metadata, lineage and classification information​ Develop aggregations and algorithms needed for reporting and analytics with low level complexity​ Implement minor changes to existing data visualization applications, reporting dashboards​ Document modifications to reporting applications based on modifications applied.​ Comprehend and adhere to all data security policies and procedures​ Create data tools for analytics and data scientist team members ​ Build analytical tools to provide actionable insights into key business KPIs, etc​ Work with data engineers to optimize pipelines for scalability and data delivery

Functional Competency 

Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc​ Experience with data tools for visualizations, analytics and reporting​ Strong analytical skills with ability to research, assess and develop observations/findings​ Ability to communicate findings, approaches to cross functional teams and stakeholders. 3+ years' hands-on experience with a data science background​ Some programming skills in Java, Python and SQL​ Clear hands-on experience with  database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB)

Educational

Background in SQL, databases and/or data science OR​ BS/MS in software engineering, computer science, mathematics 

Responsibility

Document data sources in enterprise data catalog with metadata, lineage and classification information​ Develop aggregations and algorithms needed for reporting and analytics with low level complexity​ Implement minor changes to existing data visualization applications, reporting dashboards​ Document modifications to reporting applications based on modifications applied.​ Comprehend and adhere to all data security policies and procedures​ Create data tools for analytics and data scientist team members ​ Build analytical tools to provide actionable insights into key business KPIs, etc​ Work with data engineers to optimize pipelines for scalability and data delivery

Functional Competency 

Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc​ Experience with data tools for visualizations, analytics and reporting​ Strong analytical skills with ability to research, assess and develop observations/findings​ Ability to communicate findings, approaches to cross functional teams and stakeholders. 3+ years' hands-on experience with a data science background​ Some programming skills in Java, Python and SQL​ Clear hands-on experience with  database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB)