RQ07955 - Data Analytical SpecialistScientist - Senior

Responsibilities:

• Lead the development and delivery of functional and ministryspecific analytics to support evidencebased decisionmaking and produce actionable insights
  
• Work closely with client s groups to assess current data analytics and reporting capabilities gather futurestate requirements and identify further opportunities for improvement
  
• Facilitate decisionmaking and manage client expectations
  
• Own the execution of analytics initiatives including endtoend 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
  

Key responsibilities for this role include but are not limited to the following:

• Manipulate and analyze complex highvolume data from structured unstructured and semistructured sources and multidimensional datasets with a variety of tools
  
• Identify and assess information data needs and requirements to support business plans/practices and business goals/objectives
  
• Analyze data in source systems to identify data quality issues (e.g. missing values duplicate meanings and invalid data)
  
• Develop complex SQL queries to extract analyse and validate key business data from a wide range of data repositories (relational and multidimensional data stores (Oracle and MS SQL Server) flat files structure and unstructured)
  
• 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 datarelated information technology
  
• Provide planning advice to the project team on the use of data and building capacity within the Ministry on performing advanced analytics and data analysis;
  
• Provide advise and guidance to the project team on data deidentification to minimize privacy risks
  
• Creating and/or updating data processing overview technical design source to target mapping operation manual and other technical documentation;
  

General Skills:

• Excellent analytical problemsolving and decisionmaking 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 nontechnical 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 highvolume data from structured and unstructured sources
  
• Experience developing data extraction transformation and load functionality for large relational and multidimensional 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
  

Requirements

Experience and Skill Set Requirements:

Must Haves:

• 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
  
• 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 highvolume data from structured unstructured and semistructured sources and multidimensional datasets with a variety of tools
  
• Identify and assess information data needs and requirements to support business plans/practices and business goals/objectives
  

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.)
  

Skill Set Requirements:

Technical Knowledge/Skills:

• 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. GOITS) and privacy legislation (e.g. FIPPA) related to access and release of personal information and data
  

Research Analytical and ProblemSolving Skills:

• 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 highvolume data from structured unstructured and semistructured sources and multidimensional 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 datarelated information technology
  

General Skills:

• Communication skills to prepare technical and nontechnical 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 multiteam environment spanning across business and IT stakeholders in the pursuit of common missions vision values and mutual goals.