Data Analytical Specialist/Scientist – Senior
Ministry – Government Client
Clearance Required
12 month contract
Toronto – 3 days onsite

Must Haves:

Demonstrates efficiency in Structured Query Language (SQL) to access databases to conduct research and use applications to retrieve and manipulate data from databases located on different platforms.
Demonstrate knowledge of data skills, methods, techniques, and tools, including data mining, statistical analysis, statistical models and algorithms on machine learning, deep learning, natural language processing, artificial intelligence and other related disciplines
Ability to analyze data in source systems to identify data quality issues (e.g., missing values, duplicate meanings, and invalid data)
Use creative thinking and propose innovative ways as it relates to data mining, behavioural economics, statistics and statistical models, algorithms, data integration, information management, predictive analytics and analytics modeling, and data-related information technology

Nice to Have:

Experience with coding skills in various data languages (e.g. R, Python) and proficiency with various, modeling, analytics and data visualization software tools (R Shiny, PowerBI, etc.)

Technical Knowledge/Skills – 50%

Demonstrate knowledge of information management, data management, financial and business analysis, database architecture, and data related concepts such as data preparation, data integration, data anonymization, data extract/transform/load (ETL), data warehousing, data lineage, metadata management, master data management, and data governance
Demonstrate knowledge of data skills, methods, techniques, and tools, including data mining, statistical analysis, statistical models and algorithms on machine learning, deep learning, natural language processing, artificial intelligence and other related disciplines
Demonstrates efficiency in Structured Query Language (SQL) to access databases to conduct research and use applications to retrieve and manipulate data from databases located on different platforms.
Experience with coding skills in various data languages (e.g. R, Python) and proficiency with various, modeling, analytics and data visualization software tools (R Shiny, PowerBI, etc.)
Experience in the use of data modelling methods and tools (e.g. PowerDesigner) including a working knowledge of metadata structures, repository functions, and data dictionaries
Understand legislative regulations, policies and guidelines, ministry programs/services and policy development processes, data standards (e.g. GO-ITS) and privacy legislation (e.g. FIPPA) related to access and release of personal information and data

Research, Analytical and Problem-Solving Skills – 40%

Ability to analyze data in source systems to identify data quality issues (e.g., missing values, duplicate meanings, and invalid data)
Manipulate and analyze complex, high-volume data from structured, unstructured and semi-structured sources, and multi-dimensional datasets with a variety of tools
Identify and assess information, data needs and requirements to support business plans/practices and business goals/objectives
Use creative thinking and propose innovative ways as it relates to data mining, behavioural economics, statistics and statistical models, algorithms, data integration, information management, predictive analytics and analytics modeling, and data-related information technology

General Skills – 10%

Communication skills to prepare technical and non-technical status reports, planning documents, and operational policies, and provide explanations on data issues and complex data analyses
Writing skills to prepare technical specifications, source to target mapping document and data process flow diagrams
Demonstrate experience working in a multi-team environment spanning across business and IT stakeholders in the pursuit of common missions, vision, values, and mutual goals.