RQ11753
- Data Analytical Specialist/Scientist
- Senior
- Leadthe development and delivery of functional and ministry-specific analyticsto support evidence-based decision-making and produce actionable insights
- Workclosely with client’s groups to assess current data analytics andreporting capabilities, gather future-state requirements and identifyfurther opportunities for improvement
- Facilitatedecision-making and manage client expectations
- Ownthe execution of analytics initiatives including end-to-end reporting anddata set delivery
- Developrobust statistical models and machine learning algorithms to modelbusiness scenarios and extract valid inferences
- Participatein documentation, development, testing, and end user training
- Workwith functional area experts, Data Architects and ETL Developers andstakeholders to understand complex business issues and develop appropriateBusiness Intelligence solutions
- Designmethods to capture, structure, transform, and process data to be used togenerate models
- Builddata models that provide information which is accurate, easy to understandand unbiased
- Communicatecomplex quantitative analysis in a explicit and precise manner, providinguseful visuals and summaries
- Provideinterpretation, advice, and expertise to client groups and otherstakeholders, including direction on how to transform analytics intoactionable information and proactive insights that support decision making General

Skills:
- Excellentanalytical, problem-solving and decision-making skills, verbal and writtencommunication skills, interpersonal skills and team work skills
- Outstandingconsulting and relationship management skills, with proven ability toelicit requirements, develop/consult on options and solutions, and provideeffective guidance




- Adeptat communicating to both technical and non-technical audiences
- Experiencewith a range of analytical methods, techniques and tools such as, but notlimited to: statistical analysis and modelling, data mining, machinelearning and algorithms, natural language processing, and other relateddisciplines at the specified experience level
- Abilityto manipulate and analyze complex, high-volume data from structured andunstructured sources
- Experiencedeveloping data extraction, transformation, and load functionality forlarge relational and multi-dimensional data stores
- Experiencedesigning high quality interfaces to present information in a meaningfulway to end users
- Broadunderstanding of data management, financial and business analysis,database architecture, and information visualization
- Proficiencyin query languages and experience constructing complex query statements
- Experiencein one or more programming or scripting languages
- Stronginvestigative and logic skills
- Proficiencyin mathematics and statistics
- Awarenessof emerging Business Intelligence trends and directions
- Experiencewith analytical software such as R, PowerPivot, Matlab, SPSS, or SAS anasset
- Proficiencywith desktop analysis software including Microsoft Excel, Access, VBA Requirements Experience and Skill Set

Requirements:
Must Haves:
- Proficiencyin coding and data manipulation, alongside SQL for querying and managinglarge relational databases.
- Abilityto source, clean, transform,



and structure messy or unstructured datasetsfrom multiple channels.
- +5years experience with cloud environments (Azure, AWS)
- +5years experience with big data frameworks
- Experiencetraining, testing, and deploying predictive algorithms, classificationmodels, and deep learning frameworks (such as TensorFlow or PyTorch).
- Experiencewith custom .
Web API development, ASP.
NET ..
Net Core, Entity Framework, Azure SQL, DevOps, CI/CD Pipelines etc.
- Proficiencyin all cloud service models: SaaS, PaaS, and IaaS
- Experiencewith Agile methodologies including using kanban/task boards Skill Set

Requirements:
Technical

Skills:
- Proficiencyin coding and data manipulation, alongside SQL for querying and managinglarge relational databases.
- Abilityto source, clean, transform, and structure messy or unstructured datasetsfrom multiple channels.
- +5years experience with cloud environments (Azure, AWS)
- +5years experience with big data frameworks
- Experiencetraining, testing, and deploying predictive algorithms, classificationmodels, and deep learning frameworks (such as TensorFlow or PyTorch).

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

Skills:
- Strongcommunication skills to prepare documentation, including but not limitedto; reports, reviews, assessments
- Abilityto present ideas and suggestions clearly and effectively and in a userfri

📌 11828 (Toronto)
🏢 Maarut
📍 Toronto