Data Analyst

About Dialogue

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
• Excellence

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 accessibility@dialogue.co.

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.

⚠️ Recruitment Fraud Notice

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 jobs@dialogue.co and verify the role on our official careers page.

Your role as Data Analyst

We’re looking for a Data Analyst, to own and evolve the data products that power Dialogue’s client-facing reports and to join a dedicated team that translates requirements from a large partner into capabilities built directly into the Dialogue platform. In this role, you will work across the data stack to transform client and partner needs into scalable analytics features that clearly demonstrate Dialogue’s value, impact, and outcomes.

Our Data team supports Dialogue’s mission through three core pillars:

• Data reliability & quality – ensuring pipelines, metrics, and critical data points are accurate, trusted, and scalable
• Client reporting data products – building and evolving client-facing analytics that enable self-serve insights for customers
• Data governance – applying strong change management, documentation, and versioning practices to safeguard key metrics and definitions

As a Data Analyst, you will act as a bridge between the client, partners, and internal teams (GTM, Marketing, Product, Engineering). You will translate business requirements and client feedback into well-designed reporting features, ship new metrics and insights, and continuously expand the scope, depth, and usability of our client reporting products.

This role is ideal for someone who enjoys owning end-to-end data products, from raw data and modeling to client-facing insights, and who thrives at the intersection of analytics, product, and stakeholder collaboration.

What you'll be doing

• Write complex, performant SQL queries and design scalable, production-grade data models
• Design, build, and maintain robust data models using modern analytics engineering workflows and orchestration tools (e.g., dbt, Airflow)
• Implement strong data quality tests, monitoring, and automation to ensure accuracy and reliability of client-facing metrics
• Translate business logic and client requirements into well-defined KPIs and metrics
• Build, own, and evolve client reporting data products, enabling self-serve analytics and actionable insights for customers
• Partner closely with GTM, Marketing, Product, and Engineering to turn client and partner feedback into shipped reporting features
• Identify data gaps, define clear data requirements, and improve underlying data capture and modeling
• Turn complex datasets into clear, insightful narratives that support both internal decision-making and client understanding

We'd love to hear from you if you have

• Advanced SQL proficiency — comfortable writing complex, optimized queries and thinking in sets; able to structure logic that others can read, maintain, and build on
• Hands-on experience with dbt — writing models, tests, and documentation across staging, intermediate, and mart layers; understanding of how good modeling decisions downstream affect every consumer of the data
• Solid grasp of data warehousing concepts — experience working in Snowflake or a comparable modern warehouse (BigQuery, Redshift), including how to think about performance, grain, and data organization
• Fluency in turning business requirements into well-structured data models — able to move from a vague analytical need to a clean, reusable model without losing the nuance along the way
• Proven experience designing and shipping dashboards — not just building charts, but translating requirements into clear visual logic: choosing the right chart type, structuring the layout for the audience, and knowing when less is more
• Strong communicator across technical and non-technical contexts — able to challenge a poorly scoped requirement, push back on a misleading metric, and explain a data model to a stakeholder who has never opened a SQL editor

Please note that as we serve customers across Canada, bilingualism is an asset for this position. You may be required to communicate in French and English.

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
• Optional parental leave top-up

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