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FiltersThe Commercial Business Analyst at Big Health develops a deep understanding of program, clinical, and commercial performance to answer key questions about the health and impact of our digital therapeutics. This role translates complex healthcare and commercial data into clear stories, insights, and recommendations that drive revenue growth, customer retention, and measurable clinical and economic value.
Play a key role in transforming complex datasets into actionable insights that drive business decisions and support growth initiatives. Work closely with internal teams, including managers and executives, to analyze historical and operational data, design dashboards, and create reports that inform strategic initiatives. This role requires proficiency in data querying, visualization, and workflow optimization.
As a Product Analyst, you’ll work inside one of our product teams (eCommerce, Portal, or Marketing), helping them understand user behavior, define and track key metrics, and validate the impact of product changes. You’ll partner with product managers, engineers, and designers to frame decisions, run analyses, and design experiments, shaping product roadmaps and improve user experience across thousands of retailers.
Consults various sources of quantitative and qualitative data to identify product problems and detect opportunities for improvement, conducts evaluative and generative research using mixed techniques, facilitates workshops, and collaborates continuously with the product team.
You are a seasoned Data Engineer with a passion for designing and implementing enterprise-scale data warehouses and pipelines that power data-driven decisions. You thrive on solving complex problems related to data modeling, governance, and performance, ensuring data is accessible and reliable for millions of users and internal stakeholders. You excel at translating business needs into robust, secure, and scalable data solutions.
Support data-driven decision-making by transforming raw information into meaningful insights, reports, and dashboards. Work closely with cross-functional teams to understand business needs, analyze key performance metrics, and build visualizations that drive clarity and alignment. Responsible for using BI tools, SQL, and analytical frameworks to deliver accurate and actionable insights that support operational and strategic initiatives.
In this role, you will own the orchestration, automation, and optimization of data workflows across our existing Snowflake-based enterprise data platform. Reporting to the Director of Data Engineering, you will be responsible for designing and delivering scalable, production-ready data systems by extending and managing the infrastructure, pipelines, and monitoring frameworks that power our analytics ecosystem.
We are hiring across multiple teams - our Data Scientists are embedded within every major area of Canva — product, business, and operations. We’re a thriving community that partners deeply with stakeholders to make Canva more effective, efficient, and impactful through data. Whether it’s helping teams make better decisions or building scalable experimentation platforms, we’re here to empower every Canvanaut to do their best work.
The Data Analyst responsibilities include creating data-rich dashboards. Ability to drill down data and visualize it through charts, reports, or dashboards. Writing Power BI DAX expressions and implementing Row-level Security (RLS). Developing custom BI products with scripting and programming languages such as R, Python, etc. The role involves data warehousing and business intelligence platforms, including data mining, cleaning, and munging.
Partner with product teams to understand and help develop theories of action which describe testable hypotheses for the impact of new features. Identify and measure success of initiatives through goal setting, forecasting, event instrumentation, monitoring, and ongoing analysis of core outcome metrics. Perform exploratory analyses to extract insights about our teacher & learner behavior and guide our decisions around product roadmap and investments.