Data Architect

Data Scientist

Primary functions: data acquisition method development and design, scientific data quality management, reference and master data management, data integration, data governance, exploratory data analysis

Job Responsibilities and Primary Deliverables: Data modeling, physical source data models, data profiling reports, data quality control, data definitions, data taxonomy, data metrics, meta-data, data cleansing services

Activities: data modeling, data audit, detailed data design, define rules, establish master data solutions, define hierarchies and affiliations, distribute reference and master data, profile, analyze, assess data quality, design data quality management procedures working closely with Business and Data quality organization in Paris, perform exploratory data analysis to identify trends and patterns in data, communicate data findings to stakeholders, clean and correct data quality defects

Soft Skills:

• Collaborative
• Analytical
• Self-starter
• Proficient in English (written & oral)
• Critical Thinking
• Employ judgment to offer thoughtful, concise input toward resolutions of problems
• Strong communication and interpersonal skills
• Collaborator

Technical Skills:

• Be able to translate data requirements into business processes and reverse engineer business processes into data requirements
• Comprehension of DevOps and Agile development and application to data centric architecture and data analysis solutions
• Expert in data modeling (physical and logical), ER diagrams, data dictionary, data map, normalize/denormalize, agile data modeling
• Expert in data manipulation tools
• Practical skill sets in BI and Data visualization tools
• Knowledge of other programming languages and ability to write code