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data analytics specialist
Posted on August 06, 2024 by Employer details HAOHAN CULTURE CO,. LTD
Job details
Education: Bachelor's degree. Work setting: Service company. Tasks: Build predictive models. Communicate the business and technical benefits of the analytic solution to both business and technical audiences. Conduct business and technical studies to aid in decisions on system implementation or migration. Conduct research regarding availability and suitability of data. Confer with clients to identify requirements. Data Science. Design methods of collecting and processing data to answer specific research questions. Develop data mapping methods. Extract information from unstructured sets of data. Highlight key data sources and the methodology to be used on a specific project. Provide advice on the selection of automated anomaly detection systems. Research data collection and administration policy. Synthesize technical information through creation of data visualization. Use ensemble modelling to combine multiple algorithms to obtain better predictive performance. 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. Lead and co-ordinate teams of data administrators in the development and implementation of data policies, standards and models. Computer and technology knowledge: Business intelligence. Python. Area of specialization: Business methods analysis. Personal suitability: Accurate. Experience: 1 year to less than 2 years. Other benefits: Free parking available. Other benefits.- LocationNanaimo, BC
- Workplace information On site
- Salary$49.00HOUR hourly / 32 hours per week
- Terms of employment Permanent employmentFull time
- Day
- Start date Starts as soon as possible
- Benefits: Other benefits
- vacancies 1 vacancy
- Source Job Bank #3029008
Overview
Languages
English
Education
- Bachelor's degree
Experience
1 year to less than 2 years
On site
Work must be completed at the physical location. There is no option to work remotely.
Work setting
- Service company
Responsibilities
Tasks
- Build predictive models
- Communicate the business and technical benefits of the analytic solution to both business and technical audiences
- Conduct business and technical studies to aid in decisions on system implementation or migration
- Conduct research regarding availability and suitability of data
- Confer with clients to identify requirements
- Data Science
- Design methods of collecting and processing data to answer specific research questions
- Develop data mapping methods
- Extract information from unstructured sets of data
- Highlight key data sources and the methodology to be used on a specific project
- Provide advice on the selection of automated anomaly detection systems
- Research data collection and administration policy
- Synthesize technical information through creation of data visualization
- Use ensemble modelling to combine multiple algorithms to obtain better predictive performance
- 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
- Lead and co-ordinate teams of data administrators in the development and implementation of data policies, standards and models
Experience and specialization
Computer and technology knowledge
- Business intelligence
- Python
Area of specialization
- Business methods analysis
Additional information
Personal suitability
- Accurate
Benefits
Other benefits
- Free parking available
- Other benefits
Who can apply to this job?
The employer accepts applications from:
- Canadian citizens and permanent or temporary residents of Canada.
- Other candidates with or without a valid Canadian work permit.
Advertised until
2024-10-05
Important notice: This job posting was posted directly by the employer on Job Bank. The Government of Canada has taken steps to make sure it is accurate and reliable but cannot guarantee its authenticity.
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