Lifecycle & Growth Analytics Lead
Chexy
Sales & Business Development, Data Science
United States · Toronto, ON, Canada
Posted on Jan 14, 2026
At Chexy, we’re reshaping the way money moves—making payments smarter, faster, and more rewarding.
We started by being the first in Canada to let people pay their biggest and most painful bills with credit cards and earn rewards on money they had to spend anyway. Now, we’re on a much bigger mission: to build a super app that acts as your co-pilot for all your money—helping you get more value from every dollar you spend.
As a high-growth fintech startup, we’re at the forefront of payments innovation, and we’re looking for hungry, ambitious people to help us scale. If you thrive in a fast-moving, high-energy environment and want to be part of something big, we’d love to work with you.
About the role
Chexy is looking for a senior, highly analytical Lifecycle & Growth Analytics Lead to build the foundation for predictable, owned growth—and then turn that foundation into an end-to-end lifecycle engine.
This role is for someone who loves digging into funnels and cohorts, translating insights into crisp hypotheses, and shipping experiments that measurably improve conversion, repeat usage, and retention. In the first phase, your mandate is to fix marketing measurement and attribution so we can confidently scale owned channels (paid, lifecycle, referrals). In the second phase, you’ll own lifecycle strategy end-to-end—from first touch through activation, repeat usage, long-term retention, and winback.
You’ll work in lockstep with Product, Engineering, Growth, and Data to ensure the foundations are strong: clean event tracking, clear customer states, reliable segmentation, and trustworthy measurement. This is a very senior individual contributor role to start, with the opportunity to build a lifecycle/CRM + analytics/ops bench over time.
What you'll do
Phase 1: Measurement + attribution (make growth measurable and scalable)
- Own acquisition attribution and marketing analytics fundamentals end-to-end (UTMs, channel/source taxonomy, campaign tracking, conversion definitions).
- Partner with Engineering/Product to improve event tracking quality and ensure key attribution fields are captured consistently (e.g., reducing “unknown/null source” rates).
- Build trusted reporting for the full funnel: account created → first bill added → payment scheduled → first payment → second payment → repeat behavior.
- Establish a measurement framework for growth experiments and lifecycle programs (A/B tests, holdouts, cohort tests, guardrails).
- Create actionable channel insights (what’s working by channel/audience/creative/cohort) and partner with Growth/agency to improve performance based on evidence—not vibes.
Phase 2: Lifecycle + retention (build the machine that increases engagement and spend per user)
- Own Chexy’s end-to-end lifecycle strategy, from onboarding to activation, retention, reactivation, and winback.
- Build and run lifecycle messaging across email, push, SMS, and in-app (channel mix based on product, compliance, and customer experience).
- Create a segmentation and personalization framework (behavioral, cohort-based, and value-based) to increase relevance and reduce message fatigue.
- Partner with Product to improve conversion and activation through in-product journeys (nudges, education, prompts, and optimized flows).
- Lead churn monitoring and root-cause analysis: cohort retention curves, leading indicators, and qualitative feedback loops.
- Define lifecycle “north star” behaviors and next-best-action strategies to drive repeat value and higher spend per active customer.
- Build the lifecycle operating cadence (weekly growth review, experiment log, roadmap) and, over time, hire and scale lifecycle specialists (CRM ops, copy, analytics/ops).
What we are looking for
- 5–10 years in lifecycle/CRM/retention, growth analytics, marketing ops, or a related role at a consumer tech / fintech / subscription company.
- Proven ability to move activation, repeat usage, and retention through structured lifecycle programs and tight product collaboration.
- Highly analytical: comfortable with cohorts, funnels, and experimentation design; proficient with SQL and Excel.
- Strong measurement instincts: you can define conversion events, diagnose tracking issues, and build trustworthy reporting.
- Practical technical fluency: you can partner with engineers on event schemas, attribution capture, data quality, and journey logic.
- Strong messaging instincts: you don’t need to be a copywriter, but you can set direction and quality.
- Experience building lifecycle from scratch: tooling, templates, QA processes, deliverability, governance, and measurement.
Nice to have
- Experience at an early-stage or fast-growing startup
- Experience at a fintech or a B2C SaaS company
- Familiarity with payment products (card issuing, money transfers, credit, etc.)