Data Quality Analyst W2 ONLY 5832819, California

SQL,ETL,Hadoop,XML,JSON,ETL




Posted On Jan 09, 2017
Location California , South San Francisco
Pay Rate DOE
Experience 3 yrs- 5 yrs
Duration FULLTIME
Tele Communication No

Description



**Local CA Candidates ONLY; No Relocation Available**

W2 ONLY 12 Month Contract



The Position:
Our client s Research and Early Development Early Clinical Development Operations department is seeking an experienced Data Analyst / Engineerwho is motivated, data-driven and analytical to manage the ECD Operations data assets. This individual will work in the ECD Ops Information Management Office (IMO) and will be accountable for providing standardized, high quality and accurate information for our Early Phase Clinical Trial Teams for rapid decision-making.

The role will require cross-functional interactions with Data Management Leads, Clinical Study Teams, Predictive Analytics and Information Technology teams to drive the data-driven project needs and information for operational excellence in Clinical Trial strategy and execution. The hallmarks of a great candidate is one who is eager to solve complex problems with data, is skilled in managing data for translational use and has a passion to learn new skillsets to deliver on organizational-wide data needs.



Responsibilities:

Acquire, profile and blend data from multiple systems for exploration and analysis
Work with data requestors to understand and document their requirements
Scope and perform data profiling to identify quality gaps in applicable dimensions based on intended use
Cleanse and transform data to prep it for use, publish data to dashboards and perform iterative reviews with customers
Lead complex projects to integrate new data sources in collaboration with study team members, other analysts, IT and external data suppliers including the oversight of above activities if performed by others
Communicate synthesized data quality findings to business and technical team members, senior leaders and external stakeholders
Research and recommend new innovative methods and systems to manage data for business improvement
Contribute to internal governance teams to drive the data quality business cycle and roadmap



Minimum Qualifications:
Bachelor s or Master s degree in computer science or software engineering;
3-5 years of programming experience in one or more of these: Java, Perl, Python, R;
Strong analytical and problem solving skills
Excellent oral and written communication skills;
Able to work with cloud computing environments;
Able to work in teams and collaborate with others to clarify requirements;
Basic experience with next generation data systems such as Hadoop, Teradata, NoSql solutions, including how to improve performance and end-user experience;
Strong co-ordination and project management skills to handle complex projects
Good working knowledge of SQL, SQL programming, and relational database concepts
Knowledge of XML, JSON, and web services
Basic understanding of how to design efficient and robust ETL workflows



Preferred Qualifications:
Clinical drug development domain knowledge
Experience with Clinical data and systems such as Medidata RAVE, Siebel CTMS, IxRS
Experience with data quality software such as Informatica, Paxata, Alteryx, Data Monarch or similar class of tools
Experience with master data management processes and tools such as Informatica MDM
Competencies in applied statistics to solve business needs
Knowledge of industry data standards used in drug development, particularly in Clinical development
Bachelor s or Master s degree in computer science or software engineering


Associated topics: alaris, analyst, analyst i, analyst iii, assurance, engineer, quality assurance, software, sqa, test engineer