data analyst - informatics and systems

at  Signalchem Lifesciences Corp

• Durée de l’emploi: Permanent
• Langue de travail: Anglais
• Heures de travail: 30 to 40 hours per week
• Education:
• Expérience:

EDUCATION

• Master’s degree

COMPUTER AND TECHNOLOGY KNOWLEDGE

• Machine Learning
• Mapping and data visualization software
• Data analysis software
• MS Office
• Big data
• C
• C++
• JavaScript
• Python

APPLIED STATISTICS AND MATHEMATICS EXPERIENCE

• Computer science

AREA OF WORK EXPERIENCE

• Market analysis

WORK CONDITIONS AND PHYSICAL CAPABILITIES

• Fast-paced environment
• Work under pressure
• Tight deadlines
• Attention to detail

EXPERIENCE

• 3 years to less than 5 years

SUPPORT FOR PERSONS WITH DISABILITIES

• Provides physical accessibility accommodations (for example: ramps, elevators, etc.)

• Collect data to identify areas for improvement within an organization’s IT infrastructure
• Data Science
• Develop and implement a strategic blueprint to follow when deploying databases within their organization
• Develop and maintain computer databases
• Document customers’ requirements for projects
• Document reporting needs, queries, logic, results and recommendations to other information systems professionals
• Enact measures to make sure unauthorized users cannot access the data
• Liaise with staff on data requirements, collection and availability
• Provide advice to other informatics professionals regarding database management tools
• Setup the IT infrastructure to allow applications to access databases
• Test data models and database management systems
• Design and develop database
• Operate database management systems to analyze data
• Develop and implement data administration policy, standards and models
• Research and document data requirements, data collection and administration policy, and data access rules
• Develop policies and procedures for network access and usage and for the backup and recovery of data
• Lead and co-ordinate teams of data administrators in the development and implementation of data policies, standards and models
• Write scripts related to stored procedures and triggers