Responsibilities

• Design, develop, and execute statistical model management processes that include data quality, model effectiveness monitoring and model deployment. 
• Identify, extract, clean, transform, validate and model data across multiple domains using various technologies and languages. 
• Work with Data Analyst to transition extracts into automated process. 
• Research, present and recommend new tools to leadership team. 
• Utilize new and advanced methods to extract, transform and load data. 
• Design and develop data models, structures, and views in data environments. 
• Build requirements for, develop, and provide on-call support for deployment of automated processes that provide functional areas with data and information. 
• Document, monitor and proactively improve processes and controls.

Skills & Qualifications

• Undergraduate degree with a concentration in data sciences, business information management, and/or MIS required.  
• 7+ years technical experience in technology, business intelligence, information systems or other related field 
• Data governance experience including data definition, issue management and data quality analysis 
• Ability to work with large amounts of data using various technologies 
• Ability to prioritize projects and recurring responsibilities and effectively communicate workload to leader for assistance when necessary 
• Strong analytical, critical, and systems thinking required 
• Ability to perform moderate business analysis and to effectively collaborate on business projects 
• Works effectively both independently and within a team environment 
• Ability to effectively communicate with associates and leadership in cross-functional settings using verbal, written and presentation skills  

Technical proficiency in the following:   

• Advanced ability to interact with various database and file storage systems (DB2, Oracle and Hadoop).   
• Fluent in data manipulation languages such as SQL, PL/SQL, Hive, Pig.  
•  Strong knowledge of DDL and tuning techniques   
• Statistical tools such as SAS, SPSS, R or preferred   
• Business Intelligence such as Hyperion, OBIEE or Micro Strategies  
• Visualization tools such as Tableau, Qlikview, Birst or Visual Analyzer  
• Familiar with change management processes such as Service Center  
• Knowledgeable of enterprise scheduling tools like Autosys or CA7