Informatics Data Analyst

Job description

Role: Informatics Data Analyst

Duration: 12+ months contract

Location: Los Angeles, CA, 90012 (Onsite)

 

Position Description:

An Informatics Data Analyst works independently to document external data acquisition policies and procedures as well as interface with other business units to define and document data needs and ad-hoc analysis requirements; identify business practice workflow and process issues and concerns; provide leadership and guidance to define system and process requirements that will optimize system performance and technology utilization by system users; and design information systems and technologies that ensure access and transparency.

The Informatics Data Analyst will develop, implement, organize, and maintain information and reports to document operational and financial performance; collaborate with the quality team, administrators, etc., to design the ad hoc and other relevant routine reports; monitor the quality programs and make efforts to improve them; compile data from multiple sources and import the data into the relevant database; select appropriate tools and methods to maintain the existing programs that ensures there is appropriate transfer of data and that all the reports are documented well to increase the efficiency; assist with analysis of external data definitions documentation and mapping process; perform a Quality Assurance function for the data integration processes and repository metrics; collaborate with other staff to document data needs and metric definitions; validate data load processes and the quality of the data loaded into data repositories; maintain, store, map and analyze data in compliance with policies and procedures; coordinate with LAN and IT Security teams in order to utilize PGP encryption software and File Transfer Protocols; and use software such as SAS, Access, and Excel to provide data mapping for integration using Business Objects, and SQL.

        

 

Skills Required:

The Informatics Data Analyst will possess knowledge and experience in basic statistical concepts; identifying the trends, business opportunities, and relevant issues; commonly-used demographics and databases; definitions of fields and how data is entered and processed; data mining/intelligence; statistically-valid analysis and measurement methodologies; packaging data – infographics and other data display techniques, and report design options; data interpretation and validation; Ad Hoc analysis/performance evaluation principles; common demographic data bases; SQL coding and report services; data warehouse design; web-based application design; PC skills (e.g. Microsoft Office, Word, Excel, PowerPoint, SAS, Access and Excel); working independently as well as a leadership role in creating process documentation and interfacing with other team members to obtain this information; detailed-oriented; excellent interpersonal, oral and written communication skills; ability to handle multiple tasks; and problem solving and troubleshooting skills.

                 

 

Experience Required     

This classification must have a minimum of two (2) years of experience in processing, management, and retrieval of information.



1.

3+ years of experience in writing, troubleshooting, and optimizing complex Transact-SQL and PL/SQL codes.



2.

3+ years of experience in investigating and resolving data anomalies through root cause analysis, using a variety of analytical tools and methods such as comparing results using Excel, Tableau, and other ETL processors.



3.

3+ years of constructing complex data models for business intelligence solutions, and developing dashboards and reports with data visualization tools like Tableau and Business Objects.



4.

3+ years implementing data transformations, cleansing, and normalization best practices, as well as utilizing abstraction and inheritance programming concepts to ensure high-quality data solutions.



5.

Over 2 years of experience in eliciting and documenting user requirements for large, highly complex new systems or system enhancements, ensuring comprehensive documentation of both functional and technical requirements, and effectively translating technical tasks for a non-technical audience.



 

Education Required      

• This classification requires the possession of a bachelor’s degree in an IT-related or Engineering field.
  
  


• Additional qualifying experience may be substituted for the required education on a year-for-year basis.
  
  Role: Informatics Data Analyst
  
  Duration: 12+ months contract
  
  Location: Los Angeles, CA, 90012 (Onsite)
  
   
  
  Position Description:
  
  An Informatics Data Analyst works independently to document external data acquisition policies and procedures as well as interface with other business units to define and document data needs and ad-hoc analysis requirements; identify business practice workflow and process issues and concerns; provide leadership and guidance to define system and process requirements that will optimize system performance and technology utilization by system users; and design information systems and technologies that ensure access and transparency.
  
  The Informatics Data Analyst will develop, implement, organize, and maintain information and reports to document operational and financial performance; collaborate with the quality team, administrators, etc., to design the ad hoc and other relevant routine reports; monitor the quality programs and make efforts to improve them; compile data from multiple sources and import the data into the relevant database; select appropriate tools and methods to maintain the existing programs that ensures there is appropriate transfer of data and that all the reports are documented well to increase the efficiency; assist with analysis of external data definitions documentation and mapping process; perform a Quality Assurance function for the data integration processes and repository metrics; collaborate with other staff to document data needs and metric definitions; validate data load processes and the quality of the data loaded into data repositories; maintain, store, map and analyze data in compliance with policies and procedures; coordinate with LAN and IT Security teams in order to utilize PGP encryption software and File Transfer Protocols; and use software such as SAS, Access, and Excel to provide data mapping for integration using Business Objects, and SQL.
  
          
  
   
  
  Skills Required:
  
  The Informatics Data Analyst will possess knowledge and experience in basic statistical concepts; identifying the trends, business opportunities, and relevant issues; commonly-used demographics and databases; definitions of fields and how data is entered and processed; data mining/intelligence; statistically-valid analysis and measurement methodologies; packaging data – infographics and other data display techniques, and report design options; data interpretation and validation; Ad Hoc analysis/performance evaluation principles; common demographic data bases; SQL coding and report services; data warehouse design; web-based application design; PC skills (e.g. Microsoft Office, Word, Excel, PowerPoint, SAS, Access and Excel); working independently as well as a leadership role in creating process documentation and interfacing with other team members to obtain this information; detailed-oriented; excellent interpersonal, oral and written communication skills; ability to handle multiple tasks; and problem solving and troubleshooting skills.
  
                   
  
   
  
  Experience Required     
  
  This classification must have a minimum of two (2) years of experience in processing, management, and retrieval of information.
  
  
  
  1.
  
  3+ years of experience in writing, troubleshooting, and optimizing complex Transact-SQL and PL/SQL codes.
  
  
  
  2.
  
  3+ years of experience in investigating and resolving data anomalies through root cause analysis, using a variety of analytical tools and methods such as comparing results using Excel, Tableau, and other ETL processors.
  
  
  
  3.
  
  3+ years of constructing complex data models for business intelligence solutions, and developing dashboards and reports with data visualization tools like Tableau and Business Objects.
  
  
  
  4.
  
  3+ years implementing data transformations, cleansing, and normalization best practices, as well as utilizing abstraction and inheritance programming concepts to ensure high-quality data solutions.
  
  
  
  5.
  
  Over 2 years of experience in eliciting and documenting user requirements for large, highly complex new systems or system enhancements, ensuring comprehensive documentation of both functional and technical requirements, and effectively translating technical tasks for a non-technical audience.
  
  
  
   
  
  Education Required      


• This classification requires the possession of a bachelor’s degree in an IT-related or Engineering field.
  
  


• Additional qualifying experience may be substituted for the required education on a year-for-year basis.
  
  

Required Skill Profession

Other General