RQ– Data Analytical Specialist​/Scientist – Senior

Overview

Ministry of Public and Business Service Delivery and Procurement
Community Services Cluster
777 Bay Street, Toronto ON

Start Date:

End Date:
Requisition Closing Date: , 10:00 a.m.

• 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, Power
  
  BI, etc.)
• Experience in the use of data modelling methods and tools (e.g. Power Designer) 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

• 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