Senior Data Analyst

clutch; United States; Hybrid; USD 72,000 - 90,000; Full time

Benefits offered by this job

Healthcare coverage from day one

Life insurance with dependent coverage

Hybrid work arrangement

Job summary

clutch is seeking a senior analytics engineer to build the data infrastructure for a new online used-car platform. The role blends analytics engineering with cross-functional collaboration across Marketing, Product, Operations and Finance, in a hybrid setup based in downtown Toronto.

You will own end-to-end analytics projects, maintain dashboards, design data models, and deploy production pipelines using dbt, Airflow, and Snowflake. Strong SQL and communication skills are essential.

Qualifications

• 5+ years in analytics engineering, data analytics, or closely related field.
• Strong SQL expertise with large/complex datasets.
• Hands-on with BI tools such as Tableau or Power BI.
• Proven ability to explain technical concepts to non-technical stakeholders.
• Track record of owning and delivering projects end-to-end.

Responsibilities

• Maintain and enhance production dashboards and onboarding data pipelines.
• Design new data models from scratch and identify additional data sources.
• Translate business questions into trusted analysis and reporting.
• Build production-grade pipelines using dbt, Airflow, Snowflake.
• Use AI-powered tooling to accelerate analysis and iteration.
• Communicate findings and recommendations to technical and non-technical audiences, from scoping to delivery.

Skills

SQL proficiency

Analytics engineering

Stakeholder communication

End-to-end ownership

Project management

Tools

dbt

Airflow

Snowflake

Tableau/Power BI

Job description

Role overview

A senior analytics role focused on building out the data infrastructure behind a newer business line for an online used-car retail platform. The position combines hands‑on analytics engineering with stakeholder partnership across Marketing, Product, Operations, and Finance, operating in a hybrid setup in downtown Toronto.

Responsibilities

• Maintain and enhance production dashboards and the onboarding data pipelines that internal stakeholders rely on every day.
• Design new data models largely from scratch and identify additional data sources that could sharpen analysis.
• Translate business questions across Marketing, Product, Operations, and Finance into trustworthy, well‑documented analysis and reporting.
• Build reliable, well‑tested, production‑ready pipelines using dbt, Airflow, and Snowflake.
• Use AI‑powered tooling as part of the everyday workflow to accelerate analysis, pipeline development, and iteration.
• Communicate findings, models, and recommendations clearly to technical and non‑technical audiences, owning projects end‑to‑end from scoping through delivery.

Requirements

• 5+ years of experience in analytics engineering, data analytics, or a closely related field, with 6–7 years considered ideal.
• Strong SQL expertise and comfort working across large or complex datasets.
• Hands‑on experience with a BI tool such as Tableau or Power BI.
• Proven ability to explain technical concepts clearly to non‑technical stakeholders.
• Track record of owning and delivering projects end‑to‑end, ideally with some project management experience.
• Collaborative, energetic communication style suited to a close‑knit team.

Nice to have

• Consumer credit or lending analytics background, ideally from banking.
• Fintech or SaaS fintech experience.
• Day‑to‑day use of AI tools inside an analytics workflow.
• Python or another coding language.
• Existing experience with dbt, Airflow, and Snowflake.

Benefits and work setup

Permanent full‑time hybrid role based in downtown Toronto, three days a week on site.

• Salary range of $100,000–$125,000.
• Comprehensive benefits from day one covering healthcare, dental, vision, prescriptions, and life insurance with dependent coverage.
• Pay decisions based on skills, performance, market benchmarking, responsibilities, and working conditions.