About the role
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.
Job Type: Contract Duration: Initial Contract with Possible Extension
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.
Not the right fit? Search for Data Analytics Specialist jobs in Canada
About Dawn Recruiting Agency
Dawn Recruiting is a modern, full-service recruiting agency built for speed, accuracy, and value. We combine the precision of human vetting with the power of video screening and AI-assisted insights — helping employers hire stronger talent in as little as 7 days.
Traditional recruiting is slow, expensive, and too often driven by résumé keyword matching. Dawn does it differently.
Powered by Video. Backed by Human Expertise.
Every applicant is reviewed by a dedicated screening team and completes a short video profile that reveals communication skills, personality, presentation, and culture fit — things no résumé can show.
This approach lets us review hundreds of candidates at scale and surface only the top few who genuinely stand out.
Why Employers Choose Dawn
Better Matches: Video-screened candidates vetted for communication, confidence, and culture fit.
Faster Hiring: Average time-to-fill of 7 days across most roles.
Lower Fees: A simple 17% placement fee, saving employers 20–30% vs. traditional agencies.
Full-Service Support: From sourcing to screening to scheduling interviews — we handle the heavy lifting.
Who We Serve
Dawn Recruiting supports employers across Canada and the United States in: Accounting & Finance, IT & SaaS, Engineering, Healthcare, HR, Sales, Operations, Manufacturing, Creative & Marketing, and Executive Search.
A Better Way to Hire
We’re building a new standard for recruiting — one driven by transparency, efficiency, and real human insight. Whether you’re hiring one role or scaling a team, Dawn Recruiting delivers a deeper talent pool and a faster path to great hires.
👉 Learn more at www.dawnrecruiting.com
Similar Jobs
About the role
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.
Job Type: Contract Duration: Initial Contract with Possible Extension
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.
Not the right fit? Search for Data Analytics Specialist jobs in Canada
About Dawn Recruiting Agency
Dawn Recruiting is a modern, full-service recruiting agency built for speed, accuracy, and value. We combine the precision of human vetting with the power of video screening and AI-assisted insights — helping employers hire stronger talent in as little as 7 days.
Traditional recruiting is slow, expensive, and too often driven by résumé keyword matching. Dawn does it differently.
Powered by Video. Backed by Human Expertise.
Every applicant is reviewed by a dedicated screening team and completes a short video profile that reveals communication skills, personality, presentation, and culture fit — things no résumé can show.
This approach lets us review hundreds of candidates at scale and surface only the top few who genuinely stand out.
Why Employers Choose Dawn
Better Matches: Video-screened candidates vetted for communication, confidence, and culture fit.
Faster Hiring: Average time-to-fill of 7 days across most roles.
Lower Fees: A simple 17% placement fee, saving employers 20–30% vs. traditional agencies.
Full-Service Support: From sourcing to screening to scheduling interviews — we handle the heavy lifting.
Who We Serve
Dawn Recruiting supports employers across Canada and the United States in: Accounting & Finance, IT & SaaS, Engineering, Healthcare, HR, Sales, Operations, Manufacturing, Creative & Marketing, and Executive Search.
A Better Way to Hire
We’re building a new standard for recruiting — one driven by transparency, efficiency, and real human insight. Whether you’re hiring one role or scaling a team, Dawn Recruiting delivers a deeper talent pool and a faster path to great hires.
👉 Learn more at www.dawnrecruiting.com