Data Architects and Data Analysts
Montgomery, AL.
Long Term
Looking for 2 data architects and 2 data analysts.
Data Analyst
The role of the Data Analyst is to Provide strategic and tactical support to the organization by analyzing and interpreting the data to provide creative solutions
Performs data analysis with regard to client requests and develops rules and methodologies for effective datamanagement.
Knowledge of data analysis tools and computer systems technology.
Assuring the integrity of project data, including data extraction, storage, manipulation, processing and analysis.
Collecting and collating appropriate data for usage in databases and conducting related research.
Discussing business intelligence needs or information with external clients and internal staff.
Responsible for administration, database design, security, and maintenance.
Coding accurately variables from original information or data and completing statistical analyses as required.
Preparing and making presentations, monitoring and maintaining the quality nature of database systems.
Analyzing data with standard statistical methods, interpreting the results, and providing written summary of dataanalyses.
Sharing the knowledge of analysis techniques and data coding with other staff.
Working with scientists to design and develop statistical analyses, which address projected research questions.
Participating in ongoing decisions concerning data collections, study design, methodology, and data analysis
Data Architect
The role of the Data Architect is to plan, design and implement an enterprise data environment to ensure alignment of the data architecture to the business strategy to not only exceed current requirements, but to design solutions in anticipation of future requirements.
The qualified individual will be responsible for producing and maintaining conceptual, logical and physical data models, and physical data architecture of data warehouses, data marts, operational data stores and OLTP application databases. The Data Architect will provide technical and leadership tasks to oversee the design, development, implementation, and maintenance of the enterprise data architecture across multiple lines of business and many source systems.
REQUIREMENTS:
• Minimum 5+ years in dimensional and/or relational data modeling
• Strong analytical skills; especially experience in modeling based on analysis of documentation and profiling of sample data
• Experience in data warehousing
• Excellent SQL skills
• Experience with Oracle and/or DB2
• Experience with one or more of the following database engines (Teradata, Netezza, Oracle, SQL Server)
• Experience using a leading market ETL tool and a data modeling/design tool preferably Informatica
• Proficiency using (CA) AllFusion ERWin R8 modeling software
• Understanding of the creation and usage of metadata
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