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.

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Positive news, we saved you a seat! Qualified applicants will be considered regardless of citizenship, ethnicity, race, colour, religion, gender, gender identity or expression, sexual orientation, disability, age, or veteran status. 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.

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. If you receive a suspicious communication claiming to be from Dialogue, do not respond — report it to [email protected] 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.

Good news, we saved you a seat!

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.

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.

Experience working within vertically integrated product teams (Data + Product + Development) with a proactive, high-integrity approach to problem-solving. Strong hands-on experience designing and analyzing A/B tests (hypothesis testing, sample size calculation, statistical significance, and contextual interpretation).

Experience working with large-scale event streams and/or conversational data. 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. 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 ~ Incentive plans, referral bonuses & RRSP matching ~ Learning via Coursera, external training budget & mentorship ~ Optional parental leave top-up #

📌 Data Analyst/ Data Science/ SQL Data Analyst/ Marketing Analyst (Montreal)
🏢 Dialogue
📍 Montreal