Senior Data Analyst
Remote, Canada · Toronto, Ontario, Canada
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Location type: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
BI & Data — team source
Department: BI & Data
From the employer’s posting
What you’ll work on
Full postingAs a Senior Data Analyst, you will partner closely with Product, Marketing, Engineering, and Leadership to shape how the company measures success, identifies growth opportunities, and makes data-informed decisions.
Serve as a technical expert and end-to-end owner of product data sources, analytics infrastructure, data models, and measurement frameworks
Define and monitor KPIs that show the health of each care category
Run cohort and retention analyses to find drivers of long-term engagement
Design measurement frameworks for product launches and experiments
Lead development and maintenance of dbt data models and orchestrations
Build trusted self-serve reporting and semantic data models
From the employer’s posting
As a Senior Data Analyst, you will partner closely with Product, Marketing, Engineering, and Leadership to shape how the company measures success, identifies growth opportunities, and makes data-informed decisions. You will develop scalable data models, establish analytical frameworks, and translate complex data into clear, actionable recommendations that influence product strategy and business outcomes. You will own analyses that evaluate product performance and customer behaviour, using cohort/retention analysis and funnel analytics to uncover what drives sustainable growth. You thrive as a generalist, moving seamlessly between evaluating the potential of new categories and diagnosing changes across established ones.
Serve as a technical expert and end-to-end owner of product data sources, analytics infrastructure, data models, and measurement frameworks
Define and monitor KPIs that determine the health of a category
Identify drivers of customer retention through cohort analysis
Design measurement frameworks to evaluate product launches, experiments, and strategic initiatives
Lead the development and maintenance of dbt data models and orchestrations
Build trusted, self-serve reporting and semantic data models
What you’ll bring
All qualificationsCore experience
- 5+ years of experience in data roles
- Expert SQL skills, including performant and well-tested queries
- Experience building and maintaining analytics workflows with dbt
- Strong version control skills with Git
- Proven experience with retention/cohort and funnel/conversion analysis
Qualification wording
5+ years of experience in data roles
Expert SQL skills with experience writing performant, maintainable, and well-tested queries
Experience building and maintaining analytics workflows with dbt
Strong version control skills with Git
Proven experience with retention/cohort analysis and funnel/conversion analysis
Tools in this posting
- SQL
- dbt
Source — Tool mentions in context
- 5+ years of experience in data roles - Expert SQL skills with experience writing performant, maintainable, and well-tested queries - Experience building and maintaining analytics workflows with dbt
- Improve analytical processes and automate recurring workflows that enable faster, more reliable product decision-making - Lead the development and maintenance of dbt data models and orchestrations, ensuring accuracy, modularity, and performance optimization - Build trusted, self-serve reporting and semantic data models that enable teams to answer questions independently
- Expert SQL skills with experience writing performant, maintainable, and well-tested queries - Experience building and maintaining analytics workflows with dbt - Strong version control skills with Git
Benefits in the posting
Full benefits wording- Full medical, dental and vision benefits
- Maternity/paternity policy
- Competitive compensation
- Stock option grant
- Professional development opportunities, working closely with founders and the senior leadership team
- Our commitment to an inclusive team culture means embracing diversity and offering equitable access to opportunities and resources for people who might otherwise be excluded. During our recruitment process, we provide accommodations at any stage. Candidates can communicate their accommodation needs to the hiring manager directly or by emailing accessibility@felixforyou.ca.
- Communication: We will only ever contact you from an official @felixforyou.ca email address.
- Interviews: All interviews are conducted via Google Meet; we never interview via text-only platforms (like Telegram or WhatsApp).
- Payments: We will never ask for credit card information, bank details, or payments for "equipment" or "onboarding" during the application process.
From the employer’s posting.
About Felix
Founded in 2019, Felix is a digital healthcare company that puts the patient in control of their own health and wellbeing.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 9, 2026 · 81 days ago
- Recorded sightings
- 84
- Last seen by us
- Oct 29, 2026
- Employer says posted
- Aug 6, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
About Felix
Founded in 2019, Felix is a digital healthcare company that puts the patient in control of their own health and wellbeing. We’re passionate about building technology and beautiful customer experiences to make healthcare more accessible (and more enjoyable) for all Canadians.
Felix is Canada's first end-to-end healthcare experience, providing online treatment, prescription delivery and ongoing care. We deliver care across a growing range of daily health categories such as weight loss, birth control, menopause, erectile dysfunction, acne and more.
About The Role
As a Senior Data Analyst, you will partner closely with Product, Marketing, Engineering, and Leadership to shape how the company measures success, identifies growth opportunities, and makes data-informed decisions. You will develop scalable data models, establish analytical frameworks, and translate complex data into clear, actionable recommendations that influence product strategy and business outcomes. You will own analyses that evaluate product performance and customer behaviour, using cohort/retention analysis and funnel analytics to uncover what drives sustainable growth. You thrive as a generalist, moving seamlessly between evaluating the potential of new categories and diagnosing changes across established ones.
You Will:
Serve as a technical expert and end-to-end owner of product data sources, analytics infrastructure, data models, and measurement frameworks
Define and monitor KPIs that determine the health of a category (adoption, retention, conversion, unit economics, cross-sell, etc.)
Partner with Product to evaluate feature adoption, identify opportunities, and influence roadmap prioritization through data
Design measurement frameworks to evaluate product launches, experiments, and strategic initiatives
Identify drivers of customer retention through cohort analysis and recommend opportunities to improve long-term engagement
Improve analytical processes and automate recurring workflows that enable faster, more reliable product decision-making
Lead the development and maintenance of dbt data models and orchestrations, ensuring accuracy, modularity, and performance optimization
Build trusted, self-serve reporting and semantic data models that enable teams to answer questions independently
Translate ambiguous business questions into structured analyses with clear recommendations and present those findings to senior stakeholders in a way that drives decisions
You Have:
5+ years of experience in data roles
Expert SQL skills with experience writing performant, maintainable, and well-tested queries
Experience building and maintaining analytics workflows with dbt
Strong version control skills with Git
Proven experience with retention/cohort analysis and funnel/conversion analysis
Familiarity with statistical experimentation and A/B testing principles
Experience working on new product, market, or category launches is a strong plus
Strong project management and communication skills, with a results-oriented mindset
Benefits
Full medical, dental and vision benefits
Maternity/paternity policy
4 weeks vacation (3 weeks anytime + 1 week during the holidays)
Competitive compensation
Stock option grant
Remote first, work from anywhere in Canada
Professional development opportunities, working closely with founders and the senior leadership team
Open vacancy: This posting is for an existing vacancy at the company.
Our commitment to an inclusive team culture means embracing diversity and offering equitable access to opportunities and resources for people who might otherwise be excluded. During our recruitment process, we provide accommodations at any stage. Candidates can communicate their accommodation needs to the hiring manager directly or by emailing accessibility@felixforyou.ca.
Recruitment Fraud Alert
Please note: We have been made aware of fraudulent recruiting activities where individuals pose as Felix representatives.
Communication: We will only ever contact you from an official @felixforyou.ca email address.
Interviews: All interviews are conducted via Google Meet; we never interview via text-only platforms (like Telegram or WhatsApp).
Payments: We will never ask for credit card information, bank details, or payments for "equipment" or "onboarding" during the application process.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Toronto, Ontario, Canada
- Stock option grant - Remote first, work from anywhere in Canada - Professional development opportunities, working closely with founders and the senior leadership team
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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