Data Analytics Specialist

Location: Remote within Canada (Occasional onsite meetings as required)

Job Type: Contract

Duration: Initial Contract with Possible Extension

Job Overview

We are seeking an experienced Data Analytics Specialist / Data Scientist to support enterprise-wide data initiatives and the design of innovative analytical products and services. This role is ideal for a highly analytical professional with expertise in data science, statistical modeling, machine learning, artificial intelligence, and advanced analytics. The successful candidate will work with cross-functional teams to transform complex data into meaningful insights that support strategic decision-making and business outcomes.

Key Responsibilities

• Design, develop, and maintain analytical models, data products, and AI-enabled solutions.
• Analyze, clean, organize, and prepare large datasets for predictive and prescriptive analytics.
• Develop statistical, machine learning, and AI models to solve complex business problems.
• Design and implement data visualizations, dashboards, and custom reports.
• Collaborate with business stakeholders to understand analytical requirements and translate them into technical solutions.
• Develop analytical frameworks, roadmaps, and recommendations for senior leadership.
• Evaluate data quality and recommend improvements to support enterprise analytics.
• Capture business and technical metadata for analytical products.
• Work closely with data engineers, analysts, and business teams on end-to-end analytics projects.
• Support the development of full-stack analytics and AI applications where required.
• Present findings and recommendations to technical and non-technical audiences.
• Mentor team members and promote best practices in analytics and data science.
• Monitor project progress, identify risks, and provide regular status updates.

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• Minimum 6 years of experience using statistical programming and computer languages for data analysis.
• Minimum 6 years of experience building analytical and quantitative models.
• Minimum 6 years of experience preparing data for predictive and prescriptive modeling.
• Minimum 5 years of experience translating complex business problems into analytical solutions.
• Minimum 6 years of experience with data analysis methodologies and statistical techniques.
• Minimum 6 years of experience applying Artificial Intelligence (AI) and/or Machine Learning (ML) in business environments.

Preferred Qualifications

• Experience with data sharing, data linkage, metadata management, and de-identification techniques.
• Experience building and deploying end-to-end analytics or AI-enabled applications.
• Experience integrating data from multiple enterprise data sources.
• Strong client-facing communication and stakeholder management skills.
• Experience designing and maintaining data pipelines and analytics workflows.
• Experience developing dashboards and data visualizations.
• Experience with Big Data technologies such as Hadoop or Spark.
• Experience working with cloud platforms for analytics and AI.
• Experience working with large-scale government or public sector datasets.

Technical Skills

• Python, R, SQL, or similar statistical programming languages.
• Machine Learning and Artificial Intelligence.
• Predictive and Prescriptive Analytics.
• Statistical Modeling and Data Mining.
• Data Visualization and Dashboard Development.
• Data Engineering concepts and ETL processes.
• Big Data technologies (Hadoop, Spark) is an asset.
• Cloud analytics platforms is an asset.

Soft Skills

• Strong analytical and problem-solving abilities.
• Excellent verbal and written communication skills.
• Ability to explain complex analytical concepts to business stakeholders.
• Strong collaboration and stakeholder management skills.
• Ability to work independently and within multidisciplinary teams.
• Leadership, mentoring, and continuous improvement mindset.

Work Arrangement

• Remote work within Canada.
• Occasional onsite meetings may be required.
• Standard working hours are Monday to Friday during regular business hours.

Additional Requirements

• Candidates must provide their own computer and related equipment compatible with remote desktop access (Windows preferred).
• Successful candidates must complete a criminal background check prior to project commencement.
• Completion of mandatory security, privacy, and onboarding training will be required.
• Resume must clearly demonstrate all required experience, including employment dates in MMM/YYYY – MMM/YYYY format.
• Three professional references will be required.

This opportunity is ideal for a seasoned Data Analytics professional who enjoys solving complex business problems through data, AI, and advanced analytics while working with diverse stakeholders in a collaborative environment.