RQ11753 - Data Analytical Specialist/Scientist - Senior

Responsibilities:

• Lead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and produce actionable insights
  
• Work closely with client’s groups to assess current data analytics and reporting capabilities, gather future-state requirements and identify further opportunities for improvement
  
• Facilitate decision-making and manage client expectations
  
• Own the execution of analytics initiatives including end-to-end 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
  

General Skills:

• Excellent analytical, problem-solving and decision-making 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 non-technical 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, high-volume data from structured and unstructured sources
  
• Experience developing data extraction, transformation, and load functionality for large relational and multi-dimensional 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:

• Proficiency in coding and data manipulation, alongside SQL for querying and managing large relational databases.
  
• Ability to source, clean, transform, and structure messy or unstructured datasets from multiple channels.
  
• +5 years experience with cloud environments (Azure, AWS)
  
• +5 years experience with big data frameworks
  
• Experience training, testing, and deploying predictive algorithms, classification models, and deep learning frameworks (such as TensorFlow or PyTorch).
  
• Experience with custom .Web API development, ASP.NET. .Net Core, Entity Framework, Azure SQL, DevOps, CI/CD Pipelines etc.
  
• Proficiency in all cloud service models: SaaS, PaaS, and IaaS
  
• Experience with Agile methodologies including using kanban/task boards
  

Skill Set Requirements:

Technical Skills:

• Proficiency in coding and data manipulation, alongside SQL for querying and managing large relational databases.
  
• Ability to source, clean, transform, and structure messy or unstructured datasets from multiple channels.
  
• +5 years experience with cloud environments (Azure, AWS)
  
• +5 years experience with big data frameworks
  
• Experience training, testing, and deploying predictive algorithms, classification models, and deep learning frameworks (such as TensorFlow or PyTorch).
  

Experience:

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

Communication Skills:

• Strong communication skills to prepare documentation, including but not limited to; reports, reviews, assessments
  
• Ability to present ideas and suggestions clearly and effectively and in a user friendly manner; maintain a high level of customer service to both internal and external clients
  
• Ability to communicate designs and development in clear and understandable manner