Data Analytical Specialist/Scientist (RQ11753) Government Services Integration Cluster

Softline Technology Inc.; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

Softline Technology Inc. in Toronto, Canada, is seeking an experienced analytics leader to drive end-to-end BI initiatives and publish actionable insights to support executive decision-making.

You will collaborate with client groups, build robust models, and mentor teams while delivering scalable data solutions across cloud and on-premise environments.

Qualifications

• Advanced analytics and BI capabilities with a focus on evidence-based decision making.
• Experience with SQL, data manipulation and data warehousing.
• +5 years of cloud experience (Azure, AWS).
• +5 years of big data frameworks.
• Experience training and deploying predictive algorithms (TensorFlow, PyTorch).
• Experience with Agile methodologies and DevOps practices.

Responsibilities

• Lead development and delivery of analytics for decision making.
• Collaborate with client groups to assess analytics capabilities and gather requirements.
• Own end-to-end analytics initiatives including reporting and data delivery.
• Develop statistical models and ML algorithms to model business scenarios.
• Document, test, and train end users on BI solutions.
• Translate quantitative insights into actionable information and visuals.

Skills

Analytical thinking

Problem solving

Verbal communication

Written communication

Interpersonal skills

Teamwork

Tools

R

PowerPivot

Matlab

SPSS

SAS

Excel

Access

VBA

TensorFlow

PyTorch

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

Experience Requirements

Technical Skills (40%)

• 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 (40%)

• 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 (20%)

• 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

Supplier Comments

Closing Date/Time: 2026-11-03, 12:00 p.m. EST.

Max submission: 1 (one)

5 days onsite

Must Have:

• 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