Job Title: Data Analytics Specialist
Location: Edmonton AB (Remote within Canada)
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 34 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
Required Experience:
IC
Job Title: Data Analytics SpecialistLocation: Edmonton AB (Remote within Canada)Duration: 11 MonthsWorking 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 o...
Job Title: Data Analytics Specialist
Location: Edmonton AB (Remote within Canada)
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 34 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
Required Experience:
IC
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