Product Data Analyst

Dialogue; Montreal; Hybrid; CAD 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid work in Montreal or Toronto off

Fully funded insurance

4 weeks vacation, 9 wellness days, 1 I

Job summary

Dialogue is seeking a Product Data Analyst to transform complex data into actionable insights that shape product strategy and measure performance. You will partner with leadership to drive the roadmap, ensure robust analytics, and advocate data-driven decisions across teams.

You’ll own advanced analytics, contribute to AI-enabled workflows, and help scale our data infrastructure. This role offers hybrid work in Canada and collaboration with a multidisciplinary team to improve wellbeing through

Qualifications

• 5+ years of experience in a Product Analyst, Data Analyst, or BI role.
• Strong SQL skills and data modeling experience.
• Experience with Snowflake, Metabase, dbt, and Evidence.
• Ability to translate complex data into executive-level insights.
• Experience designing and analyzing A/B tests.

Responsibilities

• Drive product strategy with data to influence roadmaps.
• Deliver actionable insights to guide decisions.
• Build and maintain analytics tracking and data pipelines across platforms.
• Leverage AI tools to automate analysis and validate results.

Skills

SQL

Data analysis

A/B testing

Collaboration

Education

Bachelor's degree in a relevant field

Tools

Snowflake

Metabase

dbt

Evidence

Job description

Dialogue is the #1 virtual care provider in Canada. By developing our Integrated Health Platform, we provide exceptional online health and wellness programs (primary care, mental health, iCBT, EAP, and wellness) to organizations that want to improve the wellness of their employees and families.

When it comes to our work, we set the bar high. Together, we’re transforming health and helping millions improve their well‑being. We’re firm believers that great people don’t settle on:

• Impact
• Community
• Growth

Feel like you can make a difference? Good news, we saved you a seat!

Come as you are. As a proud equal‑opportunity employer, Dialogue is dedicated to creating a diverse and inclusive workplace for everyone. Qualified applicants will be considered regardless of citizenship, ethnicity, race, colour, religion, gender, gender identity or expression, sexual orientation, disability, age, or veteran status. Applicants who require specialized accommodation are encouraged to contact [e-mail].

AI Disclosure Statement

To ensure an efficient and fair review process, we utilize artificial intelligence tools to assist in the initial screening and assessment of applicants for this role.

Dialogue only contacts candidates through official @dialogue.co email addresses. We never request payment, gift cards, or personal financial information at any stage of hiring, and we never extend an offer without a structured interview process. All open roles are listed exclusively at dialogue.co/en/careers. If you receive a suspicious communication claiming to be from Dialogue, do not respond — report it to [e-mail] and verify the role on our official careers page.

Your role as Product Data Analyst

Dialogue is looking for a Product Data Analyst to take part in our mission to help people improve their wellbeing. Working closely with Vanessa Jones, Director of Product, your role will be to serve as the engine for product decisions, turning complex data into actionable insights that shape product strategy, drive alignment and measure product performance.

Want to join our exceptional multidisciplinary team in an evolving industry? Good news, we saved you a seat!

What you'll be doing

• Drive Product Strategy: Partner closely with the Product team to explore problem areas, uncover behavioral trends, and use data to influence our product roadmap.
• Deliver Actionable Insights: Conduct deep-dive data analyses to guide strategic decision-making, uncover growth opportunities, and translate insight into action.
• Build Data Infrastructure: Collaborate with development teams to design, integrate, and maintain robust analytics tracking, telemetry, and event pipelines across our platforms. As a member of Dialogue's Data Guild, propose and validate data models using data platform tools, and contribute to shared data standards across teams.
• Leverage AI Workflows: Integrate modern AI tools into your daily analysis—focusing your time on problem definition, stakeholder alignment, and insight translation rather than manual tasks.

We'd love to hear from you if you have

• Relevant Experience: 5+ years of experience in a Product Analyst, Data Analyst, or Business Intelligence role within a fast‑paced environment.
• Technical Rigor: Deep proficiency with SQL and extensive experience transforming, modeling, and analyzing diverse datasets.
• Data Stack Familiarity: Hands‑on experience or familiarity with our tech stack (Snowflake, Metabase, dbt, Evidence) and a strong vision for how to structure data to eliminate measurement gaps.
• Analytical Rigor: Exceptional ability to synthesize complex data points into clear, executive‑level stories and strategic recommendations.
• AI‑Assisted Workflow: Comfort using AI tools (e.g., LLM‑assisted SQL/Python coding, automated data analysis) combined with the critical judgment to stress‑test outputs, question assumptions, and validate analytical results at scale.
• Cross‑Functional Collaboration: Experience working within vertically integrated product teams (Data + Product + Development) with a proactive, high‑integrity approach to problem‑solving.
• Autonomy in Ambiguity: Ability to thrive in a fast‑moving, high‑autonomy environment where you define problems as much as you solve them.
• Experimentation Expertise: Strong hands‑on experience designing and analyzing A/B tests (hypothesis testing, sample size calculation, statistical significance, and contextual interpretation).

Nice to have

• Experience working with large‑scale event streams and/or conversational data.
• Applied knowledge of advanced product analytics frameworks (e.g., time‑series/survival analysis, cohort and retention modeling, or basic causal inference).
• Prior experience working with sensitive data (PI/PHI) in data pipelines and skills/experience with anonymization techniques.
• Familiar with dimensional modelling concepts

At Dialogue, your well‑being is our priority

Taking care of others also means taking care of our team! Depending on your role and employment status, you could have access to the following benefits:

• Access to the Dialogue app and virtual mental health support for you and your family
• Fully funded insurance, a health spending account, dental coverage, and fitness reimbursement
• 4 weeks vacation, 9 wellness days, and 1 volunteer day
• Hybrid work: 3 days/week in our Montreal or Toronto offices, excluding remote roles
• Work abroad up to 4 weeks/year
• Incentive plans, referral bonuses & RRSP matching
• Learning via Coursera, external training budget & mentorship