Data Analytics Specialist - DAS 26-05455

Duration: 11 Months

Working Hours: Monday – Friday | 08:15 AM – 04:30 PM (Alberta Time)

Job Overview:

We are seeking a highly skilled Data Analytics Specialist / Data Scientist to support the design, development, and delivery of advanced analytical data products and services. This role plays a key part in enabling data-driven decision-making by transforming complex datasets into meaningful insights, supporting strategic initiatives, and enhancing data capabilities across a large public-sector environment.

Key Responsibilities:

• Provide expert guidance and leadership on strategic data and analytics initiatives
• Collaborate with internal and external stakeholders to gather and understand analytics requirements
• Design, develop, and implement data models, analytical products, and dashboards
• Perform data analysis, statistical modeling, and machine learning (ML) applications
• Prepare and transform raw data for predictive and prescriptive analytics
• Develop algorithms and analytical tools to generate business value
• Ensure data quality, governance, and metadata management for analytical products
• Conduct complex data analysis and collaborate with cross-functional teams (data engineers, analysts, business units)
• Provide insights and recommendations to support decision-making and strategic planning
• Create and present reports, roadmaps, frameworks, and executive briefings
• Facilitate stakeholder discussions and align business goals with analytics solutions
• Support continuous improvement of analytics capabilities and services
• Mentor and coach team members, fostering a collaborative and innovative environment

Core Skills & Expertise:

• Data Analytics & Data Science
• Statistical Analysis & Predictive Modeling
• Machine Learning (ML) & Artificial Intelligence (AI)
• Data Modeling & Data Engineering concepts
• Data Visualization & Dashboard Development
• ETL Processes & Data Transformation
• Business & Technical Analysis
• Metadata Management & Data Governance

Technical Skills:

• Strong experience with statistical techniques such as:
• Clustering (k-means, hierarchical clustering)
• Logistic regression
• Predictive modeling
• Experience with data visualization tools and reporting platforms
• Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL)
• Experience working with large and complex datasets
• Familiarity with cloud environments and data platforms (preferred)

Key Deliverables:

• Development of analytical models and data products
• Creation of dashboards, reports, and visualizations
• Documentation of business and technical requirements
• Weekly and monthly status reporting
• Continuous delivery of insights and recommendations

Work Environment & Expectations:

• Remote work within Canada (mandatory due to data security requirements)
• Occasional onsite meetings (approximately 3–4 times per year, as needed)
• Collaborative, multi-stakeholder environment
• Opportunity to work on high-impact, data-driven initiatives

Equipment Requirements:

• Candidates must provide their own computer and equipment
• System must support Azure Virtual Desktop (AVD) (Windows preferred)
• Necessary access credentials and system permissions will be provided

Additional Requirements:

• Ability to work in a multi-vendor and cross-functional environment
• Strong communication, stakeholder management, and problem-solving skills
• Ability to adapt to evolving business needs and technical requirements

For more details reach at resumes@navitassols.com.