Manager/Senior Manager, Analytics Engineering
Listed on 2026-02-21
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IT/Tech
Data Science Manager, Data Analyst, Business Systems/ Tech Analyst, Data Security
About KOHO
We’re on a mission to make financial services better for every Canadian. That means no hidden fees, no predatory interest rates - just financial products designed to help our users spend smart, save more, and build real wealth. We’re a performance organization with a strong heart: we care deeply about outcomes, and everything ties back to our mission – to financially empower a generation of Canadians.
At KOHO, we’re not your average 9-5. We believe real impact comes from people who are trusted, empowered, and supported to do their best work – without sacrificing their lives to do it. We prioritize work-life integration, not just work-life balance. That means asynchronous collaboration, flexible hours, and a remote-first setup built around autonomy and high trust.
KOHO is entering its next chapter – leaner, smarter, more AI-integrated. We’re building for impact, not bureaucracy. If you thrive in environments that value clarity, ownership, and bold thinking, you’ll fit right in.
AboutThe Role
KOHO is looking for a Manager or Senior Manager, Analytics Engineering to lead and scale our analytics engineering function. You'll manage a team of 7 Analytics Engineers who build and maintain the data infrastructure that powers critical reporting and business operations across Finance, Payment Operations, Risk, Treasury, Marketing, and Product domains.
Beyond team leadership, you'll be responsible for the analytics engineering infrastructure that supports 20+ dbt developers across the organization. This is a high-impact leadership role that combines people management, technical architecture, and strategic partnership with business stakeholders to ensure KOHO's data foundation scales with our ambitious growth.
What You'll Do Team Leadership & DevelopmentBuild and develop a high-performing team: Mentor, and grow the Analytics Engineers through coaching, performance management, and career development
Foster a culture of excellence: Set standards for code quality, documentation, and collaboration while building psychological safety and autonomy
Enable team success: Build systems, prioritize work strategically, and ensure your team has the context and resources to deliver impact
Drive performance: Conduct regular 1:1s, performance reviews, and calibrations aligned with KOHO's high-performance culture
Develop a long-term talent strategy
, identifying skill gaps and creating career pathways that ensure KOHO attracts and retains top-tier analytics engineering talent.
Own the analytics engineering platform: Maintain and evolve the data infrastructure supporting 20+ developers across analytics engineering and broader data teams (product analysts, business analysts, and developers)
Architect for scale: Define technical strategy, standards, and best practices for data modelling, pipeline development, and data quality
Optimize performance: Monitor infrastructure health, drive query optimization, and ensure reliability across critical data pipelines
Champion technical excellence: Establish governance frameworks, code review standards, and documentation practices
Partner with domain leaders: Collaborate with Analytics, Finance, Payment Operations, Risk, Treasury, and Product teams to understand their data needs and translate them into technical roadmaps
Drive cross-functional initiatives: Lead multi-team projects that require coordination across analytics engineers, data engineers, analysts, and business stakeholders
Ensure timely delivery: Balance competing priorities, manage stakeholder expectations, and deliver high-quality data products that drive business outcomes
Bridge technical and business: Translate complex technical concepts for non-technical audiences and business requirements into technical solutions
Act as a Strategic Consultant to the C‑suite: Translating complex technical debt or architectural needs into clear business risks and opportunities.
Evolve the practice: Identify opportunities to improve processes, tooling, and team effectiveness
Leverage AI: Explore and implement AI-assisted development practices to increase…
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