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Data Analyst

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We are seeking a Data Analyst for a 12 month opportunity in Knightdale, NC.

English speaking is mandatory; French speaking/writing is a plus.

The candidate will be responsible for developing the content of our Analytics Data Library in terms of Quality, Quantity, Usage 
The candidate will interact daily with the Data Lib owner based in (France) for backlog prioritization, process & tools & reporting preparation 
The candidate will interact daily with 2 team members based in Raleigh (NC, USA) supporting data sourcing, preprocessing & documentation 
The candidate will also interact with Data consumers & providers worldwide (Data scientist, PhD students, and businesses data providers) 


Data Governance 
Analyze the data structure 
Identify objects and keys 
Identify the Data sets that could be created form the data source 
Calculate metrics on the quantity & quality of observations 
Document the data structure so that it's easily accessible to the Data scientist 

Data Ingestion 
Connect the Data Source to the platform 
Various types of data sources are in focus, including Oracle, MySQL, SQL server data bases, XLS, CSV, XML, JSON, Binary files, COMDATA, … 
involving both Time series & Meta data. 

Data transformation 
Specify Data Sets from the Data sources, by cleaning, joining, anonymizing 
Present to data scientists the outcomes, & get their feedback 
Validate the publication of Data sets with Data owners 
Support Library Users 
Advise Data scientists on available Data Assets 
Collect needs of new Data sources 

Key Performance Indicators include 
The count of Data sources in backlog 
The count of published Data sets 
Volume of available Data 
Quality indicators on Data 
The usage of the Data library by data consumers 

Document best practices for sourcing, Analyzing, Preprocessing so that we can "industrialize" the process further, and deploy wider 


Good understanding of Analytics & Machine learning techniques 
Big data manipulation 
Process oriented 
Relational Data Base & SQL 
Programming skills for analyzing data (Python or R) 
Microsoft AZURE environment is a plus 
English language (speaking & writing) is mandatory, French is a plus

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