Data Analyst - ILM Data Archiving-INF0010841
About the ILM Data Archiving team:
The Global Database, Architecture, and Tools organization is transforming information technology at General Motors by delivering integrated “IT for IT” that is used to plan, build, and run thebusiness of IT globally. As part of this talented team of IT professionals, the ILM Data Archiving team will accelerate application rationalization, reduce risk, and optimize IT operations by providing a state of the art platform for Information Lifecycle Management.
About therole:
The Data Analyst will be responsible for analyzing source systems, identifying dormant data to be archived and/or purged, and determining the optimal approach for archival and retrieval of the data. They will also assist in designing critical components of Information Lifecycle Management (ILM) solutions that include database-to-database archiving, database-to-file archiving, query design, records management, consolidated archive, and advanced analytics.
Qualifications
The ideal Data Analyst should be able to:
- administer and configure tools and related software
- analyze complex structured and unstructured data sources
- create or reverse engineer logical and physical data models
- define archive entities, processes, business rules, and workflows
- write database queries, generate statistics, and interpret results
- collect and analyze data that is generated during the delivery process
- manage requirements, plans, priorities,and tasks using agile methods
- communicate effectively with stakeholders and teams that they support
- act as a change agent to drive direction and adoption of tool strategies
Minimum Qualifications:
- BS in Computer Science or technicaldiscipline preferred
- Proficient in analysis and design of complex data models
- Proficient in Structured Query Language (SQL) database programming
Preferred Qualifications:
- Knowledge of Information Lifecycle Management policies and practices
- Experience implementing database archive and purge strategies
- Experience with information lifecycle management and governance tools (e.g. HP StructuredData Manager, HP Records Manager, HP Consolidated Archive, HP Autonomy IDOL, IBM Optim Archive, IBM Optim Test Data Management, IBM InfoSphere Discovery, Informatica Data Archive, OpenText Archiver)
- Experience with relational databases (e.g. Oracle, DB2, SQL Server)
- Knowledge of big data analytics platforms, NoSQL databases, distributed file systems, and ETL tools (e.g. HP Vertica, Teradata, Hadoop, DataStage)
- Experience with enterprise software suites (e.g. SAP, Oracle, SharePoint
-
Primary Location
US-MI-Warren
Other Locations
US-GA-Atlanta
Posting Date: Dec 4, 2014, 2:00:46 PM - Ongoing
Job: Information Technology
About the ILM Data Archiving team:
The Global Database, Architecture, and Tools organization is transforming information technology at General Motors by delivering integrated “IT for IT” that is used to plan, build, and run thebusiness of IT globally. As part of this talented team of IT professionals, the ILM Data Archiving team will accelerate application rationalization, reduce risk, and optimize IT operations by providing a state of the art platform for Information Lifecycle Management.
About therole:
The Data Analyst will be responsible for analyzing source systems, identifying dormant data to be archived and/or purged, and determining the optimal approach for archival and retrieval of the data. They will also assist in designing critical components of Information Lifecycle Management (ILM) solutions that include database-to-database archiving, database-to-file archiving, query design, records management, consolidated archive, and advanced analytics.
Qualifications
The ideal Data Analyst should be able to:
- administer and configure tools and related software
- analyze complex structured and unstructured data sources
- create or reverse engineer logical and physical data models
- define archive entities, processes, business rules, and workflows
- write database queries, generate statistics, and interpret results
- collect and analyze data that is generated during the delivery process
- manage requirements, plans, priorities,and tasks using agile methods
- communicate effectively with stakeholders and teams that they support
- act as a change agent to drive direction and adoption of tool strategies
Minimum Qualifications:
- BS in Computer Science or technicaldiscipline preferred
- Proficient in analysis and design of complex data models
- Proficient in Structured Query Language (SQL) database programming
Preferred Qualifications:
- Knowledge of Information Lifecycle Management policies and practices
- Experience implementing database archive and purge strategies
- Experience with information lifecycle management and governance tools (e.g. HP StructuredData Manager, HP Records Manager, HP Consolidated Archive, HP Autonomy IDOL, IBM Optim Archive, IBM Optim Test Data Management, IBM InfoSphere Discovery, Informatica Data Archive, OpenText Archiver)
- Experience with relational databases (e.g. Oracle, DB2, SQL Server)
- Knowledge of big data analytics platforms, NoSQL databases, distributed file systems, and ETL tools (e.g. HP Vertica, Teradata, Hadoop, DataStage)
- Experience with enterprise software suites (e.g. SAP, Oracle, SharePoint
-
Primary Location
US-MI-Warren
Other Locations
US-GA-Atlanta
Posting Date: Dec 4, 2014, 2:00:46 PM - Ongoing
Job: Information Technology
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