Analytics Insights Engineer Job Toronto area,Ontario Canada,IT/Tech

Position: Analytics Insights Engineer I

Description

Summary

The Analytics Engineer is responsible for designing, building, and maintaining robust data pipelines and analytics solutions—including creating reports and dashboards—that enable business stakeholders to make data-driven decisions. This role covers the full spectrum of analytics engineering, from hands-on technical implementation to solution architecture and technical leadership.

Key Responsibilities

Perform data analysis and assess data management requirements for platforms and projects.

Build and optimize data pipelines in Azure Databricks (PySpark/SQL), aligned with Medallion Architecture.

Orchestrate data ingestion, transformation, and validation processes.

Maintain production-grade code with CI/CD, version control, and Dev Ops/Git Hub practices.

Design and deliver high-performance semantic models, data marts, and datasets optimized for executive-level insurance and operational reporting.

Develop advanced Power BI dashboards using complex DAX, calculation groups, row-level security, and best-practice modeling patterns.

Implement and maintain Claim Operations semantic layer ensuring consistent business definitions, metrics, and KPIs.

Own the documentation of pipelines, data models, definitions, and lineage.

Continuously optimize pipelines, SQL queries, DAX measures, and cloud spend.

Partner with BI & Data Management teams to enforce governance standards, access controls, and data quality frameworks.

Provide coaching and guidance to team members on Databricks, Power BI, and analytics best practices.

Collaborate with business and technology partners to elicit, analyze, and understand data requirements.

Ensure data compliance with enterprise standards, policies, and guidelines.

Support partners and stakeholders in interpreting and analyzing data.

Build effective working relationships across teams to encourage collaboration.

Skills & Qualifications

3–5+ years of experience in Business Intelligence, Data Engineering, or Analytics Engineering roles.

Expert SQL and strong Python.

Expert-level Power BI + DAX: complex measures, optimization, semantic modeling, RLS, Tabular Editor, calculation groups.

Knowledge in Azure, Databricks (Unity Catalog, Delta, Medallion Architecture), and CI/CD.

Demonstrated ability to design and implement a robust semantic layer using dbt, ensuring consistent business definitions, metrics, and KPIs across the analytics ecosystem.

Proven experience building dashboards and delivering insurance analytics solutions.

Excellent analytical, problem-solving, and communication skills.

Ability to work collaboratively in cross-functional teams and mentor others.

Who We Are:

As part of TD Bank Group, one of Canada's largest financial institutions, at TD Insurance, we care for Canadian families, making it easy to get the best advice, protection, and support in their moments of need, always.

TD Insurance offers a wide range of products, including General Insurance and Life and Health. Everyday, we strive to make every interaction, product and experience remarkably human and refreshingly simple for more than four million customers who count on us.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

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