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Sr. Data Operations & Stewardship Analyst
Ref No.: 18-47431
Location: Princeton, New Jersey
Start Date / End Date: 10/01/2018 to 03/31/2019
Title: Sr. Data Operations & Stewardship Analyst, R&D
Location: Plainsboro, NJ
Duration: 6 Months
Job ID:  24413-1
The Data Operations R&D manages a team of Data Operations Steward(s) within Enterprise Information Data Management team and has day-to-day ownership of leading data management operations, processes and data quality in addition to leading and coordinating business requests on changes and enhancements. This role ensures that R&D data assets are understood, used and shared effectively throughout the organization. Resource should have ability to manage data assets in enterprise Data Lake for R&D Domain to ensure data is analysis ready for business consumption. In addition to serving as the subject matter expert, the role will be knowledgeable of key groups and functionalities to appropriately manage issues, incidents, and inquiries.
Strong R&D Data Domain expertise in one or more areas (Translational, Clinical and ClinOps and Real World data)
Working expertise in sub-domain, resolving data issues, hands-on data analysis skills, ability to run/support analytics, good communication skills to interface independently with scientist, researchers, clinical operations/clinical data management users
Experience in configuring, mapping clinical/biomarker data sources to different data domains and maintaining the mapping as part of day to day data load, issue management/resolution
Manage the production data assets in the data lake from data acquisition to publish, to ensure data is analysis ready for business consumption
Experience working in Data Lakes (AWS) and tools to operationally manage load process end to end. Experience work with both external data vendors and internal stakeholder on data issues.
Ability to put detail data requirements and maintain regular updates to data catalog, business glossary, metadata management for all of R&D domains within enterprise data lake
Deep data knowledge and working experience from both data ingestion support and data consumption perspective to develop data Quality measures/rules for each data sub-domains
Analytics skills with data domain experience to provide user support, data extracts using analytics tools Domino/SAS, R, Python on need basis for external research partners
Responsible for maintaining and updating critical data elements within the Enterprise Catalog
Manage the production data assets from data acquisition to publish, to ensure data is analysis ready for business consumption
Promotes and sustains Change Management agenda/activities to his/her domain(s)
Must have related working experience in Data Operations and Stewardship. Prefer minimum 4+ years in a Pharmaceutical or Biopharmaceutical environment
Prefer a BS in Science, Engineering, Information Technology or related field but candidate will also consider equivalent relevant work experience
Strong communication and relationship building skills to establish trust and rapport with the BI&A, plan partners and R&D business stakeholders
Data-driven, highly organized and detail oriented individual who has the ability to motivate other members of the organization to understand and support data management policies and procedures
R&D Domain expertise in Translation Medicine, Clinical data, Real World Data domains
Strong business analysis and business rules development skills
Experience in Data catalog, metadata, ontology and business glossary management
Working experience AWS environment and expertise in data analysis tools
Experience with data quality framework, both in development and in execution across multiple data assets
Experience using ETL tools(Eg. Paxata and Informatica) and visualization/Dashboard tools (Eg. Spotfire & Tableau)
Expertise in Data Analysis, Database & SQL skills for DQ executions
6-10yrs years professional experience as an data analyst

Interested candidates can send their updated resumes on and you can also reach me at 973-967-3431.

Artech Information Systems LLC.