At Opencare, we are a fully remote organization and we are open to applicants across Canada for this opportunity.

SKILLS AND ATTRIBUTES WE ARE LOOKING FOR IN A SUCCESSFUL CANDIDATE:

• 3+ years of strong experience with business intelligence tools, ideally Looker (both LookML and data visualizations)
• 3+ years of data transformation using dbt
• 3+ years of data modelling experience using Kimball or similar to stitch together user journeys and identify points of friction.
• 3+ years of experience in product analytics, with hands-on expertise using tools such as Heap, Snowplow, Segment, Amplitude, Mixpanel, Google Analytics, or equivalent platforms to translate data into actionable insights. We use Snowplow and He
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• Experience supporting different parts of the business, from marketing, product, sales, customer success and finance, providing tools and insights to guide their day to day operations
• Familiarity working with web event tracking data as data source
• Experience in A/B testing and tying the user web behaviour to product initiatives is a must
• We expect candidates to embrace AI-powered tools like Cursor and Co-pilot to aggressively accelerate data infrastructure development and maximize discovery of insights.
  At Opencare, we are dedicated to building a diverse and inclusive workforce. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, or any other characteristic protected by law. We believe that diversity makes us stronger and more innovative, and we welcome applicants from all backgrounds to apply. If you require assistance or accommodation during the hiring process, please inform your Talent Partner.
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• Proactively solve business problems, analyze performance across functions, challenge and optimize established playbooks, and an impact-forward approach to data science
• Build and refine segmentation, attribution, and forecasting models to identify key value drivers and improve decision-making.
• Design and implement scalable, reusable data models that enable efficient, reliable, and maintainable data infrastructure to support analytics and business decision-making.
• Define project scope, phase deliverables, and coordinate across teams to ensure clear alignment and timely execution.
• Analyze diverse datasets—from customer behavior and product usage to geographic and operational trends—to uncover opportunities for growth and efficiency.
• Customer & Business Journey: Map value creation across the customer and business lifecycle, ensuring resources are focused on high-impact activities.
• Translate raw data into compelling insights, using visualizations (Looker, Tableau, PowerBI, etc.) to influence stakeholders and support experimentation, continuous improvement, and strategic choices.
• Evaluate new markets, channels, and processes, measuring their effectiveness and interaction with existing operations.
• Partner with Product, Engineering, CX, Finance, and other teams to capture richer customer data and align on data-driven priorities.