Use SQL and advanced analytics as a Senior Data Analytical Specialist/Scientist, developing models and insights from complex data sources. Support evidence-based decisions through actionable analysis.

This senior role leads functional and ministry-specific analytics initiatives from requirements through reporting and dataset delivery. You will apply data mining, statistical analysis, machine learning, and natural language processing. The work includes data quality assessment, model development, and transparent communication of quantitative findings. Collaboration spans clients, Data Architects, ETL Developers, functional experts, and stakeholders.

Key Responsibilities:

- Lead analytics development and delivery for ministry-specific decision-making
- Develop statistical models and machine learning algorithms
- Execute end-to-end reporting and dataset delivery




- Build accurate, understandable, and unbiased data models
- Explain quantitative analysis using clear visuals and summaries

Requirements:

- Demonstrated efficiency using SQL across different database platforms
- Knowledge of data mining, statistics, algorithms, and artificial intelligence
- Ability to identify missing, duplicate, and invalid data
- Experience analyzing complex, high-volume structured and unstructured data
- Strong analytical, consulting, communication, and problem-solving skills

Apply SQL, statistical modeling, machine learning, and data quality expertise to deliver actionable analytics and decision support.

📌 Senior Data Scientist SQL Analytics (Toronto)
🏢 Rubicon Path
📍 Toronto