Sql data analyst Jobs in Toronto, ON

Data Analyst – SQL, Data Pipelines & AI Drive advanced analytics and GenAI innovation within the insurance industry. This hybrid Toronto role focuses on transforming complex datasets into actionable insights, supporting sales enablement tools, evaluating AI outputs, and building data solutions that improve advisor workflows, decision-making, and business performance.
What is in it for you:
•Salaried: $50-57 per hour.
• Incorporated Business Rate: $60-67 per hour.
• 9-month contract with the potential for permanent employment.
• Full-time position: hours per week.
• Remote on Monday and Friday; on-site Tuesday to Thursday.
Responsibilities:
• Prepare, clean, and analyze datasets used to train, validate, and evaluate LLM-based and generative AI features.
• Collaborate with product teams, sales stakeholders, and business partners to understand advisor workflows, data requirements, and key performance indicators.
• Build dashboards and reporting solutions to track adoption, performance, and business impact of sales enablement tools.
• Support prompt evaluation, annotation activities, and quality assurance to ensure reliable AI-generated outputs.
• Contribute to structured knowledge bases, taxonomies, and metadata that support retrieval-augmented generation systems.
• Generate insights that help improve sales processes and advisor experience.
• Develop analytics solutions that support business objectives and process improvement initiatives.
• Analyze complex datasets and connect multiple internal data sources to produce meaningful insights.
• Translate analytical results into clear business recommendations for stakeholders.
• Document datasets, analytical processes, and methodologies to support continuous improvement.
• Engage subject matter experts to understand business processes and support cross-team collaboration.
• Provide guidance to junior analysts when needed.
• Participate in daily project updates with the core team.
• Confirm requirements and timelines with business partners.
• Propose and implement technical solutions aligned with project objectives.
• Prepare presentation materials outlining analytical findings and recommendations.
• Track project tasks and updates in Jira.
• Report progress to the Project Team Lead.
What you will need to succeed:• Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or equivalent technical experience.
• 3 to 5 years of experience in a Data Analyst, Data Scientist, or similar analytical role.
• Strong Python programming skills for data analysis and model development.
• Experience with Git and GitHub for version control and collaboration.
• Knowledge of machine learning fundamentals including exploratory data analysis, feature engineering, and model evaluation.
• Familiarity with large language model workflows including context engineering, prompt engineering, and guardrails.
• Experience with business intelligence tools such as Power BI, Tableau, or similar platforms.
• Knowledge of statistical methods such as regression, clustering, principal component analysis, decision trees, or survival analysis.
• Experience working with complex datasets and structured analytical methodologies.
• Understanding of relational databases and data modeling concepts.
• Ability to translate technical insights into clear business recommendations.
• Strong problem-solving mindset and ability to work in fast-paced environments.
• Experience with sales datasets or sales operations environments is considered an asset.
• Exposure to insurance industry workflows or advisor models is considered an asset.
• Familiarity with Azure, Databricks, MLOps practices, or RAG pipelines is considered an asset.