Analytics Engineer

🕒 July 28

🇨🇦 Canada – Remote

💵 $110k - $135k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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KOHO

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

💼 Consulting

🛡️ Insurance

💳 Fintech

Consulting • Insurance • Fintech

KOHO is a financial technology company that provides Canadians with tools to manage their money effectively and enhance their lifestyle. Offering a single platform, KOHO allows users to spend smarter with a prepaid Mastercard that offers up to 5% cash back, grow their savings with competitive interest rates, facilitate borrowing with easy cash advances, and build credit history. The app also features budgeting tools, payment splitting, and various customizable plans to suit individual needs, emphasizing convenience and financial wellness for its users.

📋 Description

• Build and scale data pipelines: Design and develop scalable data pipelines, from scoping through delivery • Collaborate cross-functionally: Partner with stakeholders across the business to define data requirements and translate them into technical solutions • Build reliable reporting infrastructure: Create performant, well-tested data models that power internal reporting, self-serve analytics, and decision-making • Design scalable data models: Apply modelling frameworks (one big table, entity tables, event streams, Kimball) tailored to the use case • Optimize and monitor: Maintain pipeline health, optimize query performance, and implement data quality monitoring • Enable the team: Document solutions, establish best practices, and help upskill fellow Analytics Engineers and Analysts • Integrate cross-functional data: Work across domain boundaries to unify data into cohesive, reusable reporting structures

🎯 Requirements

• 3+ years of experience in analytics engineering, data engineering, or similar data roles • DBT expertise: Comfortable with complex DBT projects and various materializations (incremental, table, view, etc.), snapshots, variables, macros, and Jinja • SQL skills: Query optimization and performance tuning • Modern data stack: DBT Core and/or DBT Cloud, Git. A plus if experience with Redshift. • Collaborative: You work well alongside analysts, PMs, and engineers to translate business requirements into technical solutions • Clear communicator: You adapt communication to different audiences and connect technical work to business outcomes • Takes initiative: You identify opportunities for improvement and act without waiting to be asked • AI-curious: Experience or interest in leveraging AI tools for development workflows. Foundations in AI-assisted development are a plus.

🏖️ Benefits

• Competitive compensation & equity • Generous vacation + Wellness days + Flex Days + holiday closure • Remote-first environment + coworking support + yearly all hands retreat • Access to coaching & growth programs • Parental top-up & leave policies • Comprehensive health benefits • Power-up budgets for books, home office setup, phone & internet, AI tools, and professional development