RQ11753 - Data Analytical Specialist/Scientist - Senior Posted On 29/10/2026
Job Information Term 254 days
Assigned Recruiter(s) Sweta Singh
Job Opening ID 11828
Technology
Number of Positions 1
Work Experience 7-10 Years
City Toronto
State/Province Ontario
M4C
Job Description 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:
Strong 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
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RQ11753 - Data Analytical Specialist/Scientist - Senior in Toronto employer: Maarut
At Maarut, we pride ourselves on being an exceptional employer in Ottawa, offering a dynamic work culture that fosters collaboration and innovation. Our commitment to employee growth is evident through mentorship opportunities and professional development programs tailored for actuarial leaders. With a focus on strategic impact and a supportive environment, we empower our team to make meaningful contributions while enjoying the unique advantages of working in Canada's vibrant capital.
