Responsibilities:
• Lead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and produce actionable insights
• Work closely with client’s groups to assess current data analytics and reporting capabilities, gather future-state requirements and identify further opportunities for improvement
• Facilitate decision-making and manage client expectations
• Own the execution of analytics initiatives including end-to-end reporting and data set delivery
• Develop robust statistical models and machine learning algorithms to model business scenarios and extract valid inferences
• Participate in documentation, development, testing, and end user training
• Work with functional area experts, Data Architects and ETL Developers and stakeholders to understand complex business issues and develop appropriate Business Intelligence solutions
• Design methods to capture, structure, transform, and process data to be used to generate models
• Build data models that provide information which is accurate, easy to understand and unbiased
• Communicate complex quantitative analysis in a clear and precise manner, providing useful visuals and summaries
• Provide interpretation, advice, and expertise to client groups and other stakeholders, including direction on how to transform analytics into actionable information and proactive insights that support decision making General

Skills:
• Excellent analytical, problem-solving and decision-making skills, verbal and written communication skills, interpersonal skills and team work skills
• Outstanding consulting and relationship management skills, with proven ability to elicit requirements, develop/consult on options and solutions, and provide effective guidance
• Adept at communicating to both technical and non-technical audiences
• Experience with a range of analytical methods, techniques and tools such as,



but not limited to: statistical analysis and modelling, data mining, machine learning and algorithms, natural language processing, and other related disciplines at the specified experience level
• Ability to manipulate and analyze complex, high-volume data from structured and unstructured sources
• Experience developing data extraction, transformation, and load functionality for large relational and multi-dimensional data stores
• Experience designing high quality interfaces to present information in a meaningful way to end users
• Broad understanding of data management, financial and business analysis, database architecture, and information visualization
• Proficiency in query languages and experience constructing complex query statements
• Experience in one or more programming or scripting languages
• Strong investigative and logic skills
• Proficiency in mathematics and statistics
• Awareness of emerging Business Intelligence trends and directions
• Functional area experience as required
• Experience with analytical software such as R, PowerPivot, Matlab, SPSS, or SAS an asset
• Proficiency with desktop analysis software including Microsoft Excel, Access, VBA Requirements Experience and Skill Set

Requirements:
Must Haves:
• Proficiency in coding and data manipulation, alongside SQL for querying and managing large relational databases.
• Ability to source, clean, transform, and structure messy or unstructured datasets from multiple channels.
• +5 years experience with cloud environments (Azure,



AWS)
• +5 years experience with big data frameworks
• Experience training, testing, and deploying predictive algorithms, classification models, and deep learning frameworks (such as TensorFlow or PyTorch).
• Experience with custom .
Web API development, ASP.
NET. .
Net Core, Entity Framework, Azure SQL, DevOps, CI/CD Pipelines etc.
• Proficiency in all cloud service models: SaaS, PaaS, and IaaS
• Experience with Agile methodologies including using kanban/task boards Skill Set

Requirements:
Technical

Skills:
• Proficiency in coding and data manipulation, alongside SQL for querying and managing large relational databases.
• Ability to source, clean, transform, and structure messy or unstructured datasets from multiple channels.
• +5 years experience with cloud environments (Azure, AWS)
• +5 years experience with big data frameworks
• Experience training, testing, and deploying predictive algorithms, classification models, and deep learning frameworks (such as TensorFlow or PyTorch).

Experience:
• Experience with large government applications
• Experience with cloud platforms such as Azure
• Experience with custom .
Web API development, ASP.
NET. .
Net Core, Entity Framework, Azure SQL, DevOps, CI/CD Pipelines etc.
• Proficiency in all cloud service models: SaaS, PaaS, and IaaS
• Experience with Agile methodologies including using kanban/task boards Communication

Skills:
• Robust communication skills to prepare documentation, including but not limited to; reports, reviews, assessments
• Ability to present ideas and suggestions clearly and effectively and in a user friendly manner; maintain a high level of customer service to both internal and external clients
• Ability to communicate designs and development in clear and understandable manner

📌 Data Analytical Specialist/Scientist - Senior (Toronto)
🏢 Maarut
📍 Toronto