Data Analytics Specialist

Recutify Inc.

Not Interested
Bookmark
Report This Job

profile Job Location:

Vancouver - Canada

profile Monthly Salary: Not Disclosed
Posted on: 6 hours ago
Vacancies: 1 Vacancy

Job Summary

Data Analytics Specialist / Data Scientist
Location: Remote (Canada-based only) Occasional onsite (Alberta up to 3 4 times/year)
Work Hours: Monday Friday 08:15 16:30 (Alberta Time)
Type: Contract About the Role

The Government of Albertas Data Centre of Excellence is seeking a highly skilled Data Analytics Specialist / Data Scientist to support the design and development of advanced analytical data products and services. This role is part of a strategic initiative to strengthen data-driven decision-making across ministries and improve services for Albertans.

You will work within a collaborative team to design build and optimize data models analytics solutions and AI-enabled products aligned with the government bodys Data Strategy.

Key Responsibilities
  • Lead and support strategic data analytics initiatives across government departments
  • Design build and deploy data models algorithms and analytical products
  • Prepare data for predictive and prescriptive analytics
  • Develop dashboards reports and data visualizations for senior stakeholders
  • Apply statistical machine learning and data mining techniques to solve complex problems
  • Collaborate with data engineers analysts and business stakeholders
  • Translate business needs into analytical solutions and actionable insights
  • Improve data quality metadata and analytical workflows
  • Support development of data strategies frameworks and roadmaps
  • Provide mentorship and technical leadership within the team
  • Communicate insights clearly to executives and non-technical stakeholders
  • Ensure alignment with privacy governance and government data standards
Required Qualifications Education
  • Bachelors degree in Computer Science Data Science Statistics or related field (or equivalent)
Experience
  • 6 years in Data Analytics or Data Science
  • 6 years building quantitative and statistical models
  • 6 years working with predictive/prescriptive analytics
  • 6 years experience preparing data for modeling (feature engineering cleansing transformation)
  • 2 years building and deploying end-to-end analytical or AI-enabled applications
  • Strong experience with statistical and data mining techniques
  • Experience with tools such as Python R SQL or similar languages
Nice to Have
  • Experience with data linkage de-identification metadata management
  • Experience working with large government datasets
  • Experience designing data pipelines or analytics workflows (3 years)
  • Experience with cloud or big data platforms (e.g. Azure Spark Hadoop)
  • Strong dashboarding/visualization skills (Power BI Tableau etc.)
  • Experience translating complex business problems into analytical solutions
  • Strong client-facing communication and stakeholder engagement skills
Key Competencies
  • Machine Learning & Statistical Modeling
  • Data Engineering & Analytics Design
  • Business Intelligence & Visualization
  • Strategic Thinking & Problem Solving
  • Stakeholder Engagement
  • Data Governance & Privacy Awareness
Deliverables
  • Analytical models dashboards and data products
  • Documentation of data models metadata and requirements
  • Weekly and monthly status reports
  • Ad-hoc analysis and executive briefings
Work Environment
  • Fully remote within Canada
  • Must be available for occasional onsite meetings in Alberta
  • Must provide own equipment (Windows or Mac compatible with Azure Virtual Desktop preferred)
Additional Requirements
  • Standard background check required
  • Completion of mandatory training (FOIP security awareness etc.)
  • Must work within Canada due to data security requirements
Data Analytics Specialist / Data Scientist Location: Remote (Canada-based only) Occasional onsite (Alberta up to 3 4 times/year) Work Hours: Monday Friday 08:15 16:30 (Alberta Time) Type: Contract About the Role The Government of Albertas Data Centre of Excellence is seeking a highly skilled ...
View more view more