RQ00746 Data Analytical SpecialistScientist Senior

The Senior Data Analytical Specialist/Scientist is fully allocated to HealthMap. Working with minimal direction and leading others the role analyzes the ODBM and methodology and builds and validates it within PHO. The role aligns with and advances the Public Health Data Utility (PHDU) as the platform foundation and operates within the Analytics Engine operating model.

Key Responsibilities

• Analyze the DLSPH chronic-disease-burden model and methodology to support a build within PHO systems.
  
• Build validate and run the model within PHOs environment aligned to and advancing the PHDU (with an R/Azure bridge until PHDU is available).
  
• Support data acquisition through data-sharing agreements and governance processes where required for the ODBM to run within PHO systems.
  
• Document methods and transfer knowledge to PHO staff so the ODBM can be sustained beyond the engagement.
  
• Participate in related HealthMap documentation development testing end-user training and knowledge transfer; work with functional experts data architects ETL developers and PHDU technical teams to deliver sustainable solutions.
  

Key Deliverables

• Documented methodology code data-acquisition and as available analytical and reporting requirements.
  
• DLSPH model built validated and running within PHO systems (PHDU-aligned).
  
• Knowledge transfer to PHO staff to sustain the capability.
  

General Skills (Required)

• Excellent analytical problem-solving and decision-making skills.
  
• Strong consulting and relationship-management skills to work with client groups technical teams data stewards data engineers and stakeholders to confirm requirements options constraints and delivery decisions.
  
• Ability to communicate complex quantitative methods assumptions outputs and limitations clearly to technical and non-technical audiences.
  
• Senior-level experience with statistical methods and models including their underlying data requirements model validation and reproducible analytical workflows.
  
• Ability to manipulate and analyze complex data from structured and unstructured sources to support evidence-based decision-making.
  
• Experience designing data-ingestion transformation quality-checking and reproducible data-processing workflows.
  
• Broad understanding of data management business analysis database architecture governance and information visualization.
  
• Proficiency in R and/or Python query languages and version-controlled analytical code to ensure that any ODBM analytical workflows can be implemented run troubleshooted and documented.
  
• Strong investigative mathematical and statistical skills to assess model logic test assumptions resolve data or code issues and support sustainable knowledge transfer.
  

Requirements

Assets / Desirable

• Experience with R and PowerBI.
  
• Experience with population or public-health data and chronic-disease microsimulation or burden-of-disease modelling.
  
• Experience building on or adapting an external academic or research model within a production environment.
  
• Familiarity with cloud analytics environments (e.g. Azure) and platform-based delivery products such as Databricks.
  
• Knowledge and understanding of the Accessibility for Ontarians with Disabilities Act (AODA) and related standards.
  

Experience Level Senior

• Per the OPS On-Demand IT Services VOR experience-level definitions the Senior level is expected to:
  
• Be an advanced professional able to apply concepts practices and procedures in practice.
  
• Work with minimal direction and lead and train others in technical components and concepts.
  
• Plan lead and deliver complex deliverables that provide options for decisions within the organization.
  
• Bring a high level of expertise in the required skill set specialized in the technical area and provide specific advisory support as required.
  

Must Haves:

• Excellent analytical problem-solving and decision-making skills.
  
• Strong consulting and relationship-management skills to work with client groups technical teams data stewards data engineers and stakeholders to confirm requirements options constraints and delivery decisions.
  
• Ability to communicate complex quantitative methods assumptions outputs and limitations clearly to technical and non-technical audiences.
  
• Senior-level experience with statistical methods and models including their underlying data requirements model validation and reproducible analytical workflows.
  
• Experience designing data-ingestion transformation quality-checking and reproducible data-processing workflows.