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 practical 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 r

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