RQ11753 - Data Analytical Specialist/Scientist - Senior

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