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 transparent 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

📌 11828 (Toronto)
🏢 Maarut
📍 Toronto