Remote Data Jobs · R

As a Data and BI Analyst for the Stone Partner Program's management team, you will play a fundamental role in supporting the business area by building tools and analyses to improve performance and streamline our program's routines. If you are passionate about data and have the ability to translate it into business intelligence, come and join our team!

This role involves leveraging advanced data science techniques to transform complex data into actionable insights that drive strategic business decisions. You will work across departments to collect, analyze, and interpret large datasets, identifying patterns, trends, and opportunities that enhance products and operational processes. You will be instrumental in shaping data-driven strategies in a dynamic, innovative environment.

The Business Intelligence Developer brings together theory and practice to identify and communicate data-driven insights that allow managers, stakeholders, and other executives in the organization to make informed decisions. The Business Intelligence Developer will have an intermediate understanding of the company’s databases, business intelligence (BI) tools, and existing reports and act as a resource in internal and external meetings.

Conduct comprehensive failure analysis on AI agent performance across finance-sector tasks to identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). Key responsibilities include statistical failure analysis, root cause analysis, dimension analysis, reporting & visualization, quality framework, and stakeholder communication.

As a Senior Data Scientist, you’ll report to the Data Science Manager and work closely with both the Data Science and Engineering teams. You will play a crucial role in developing models for complex parts of our business, analyze large datasets, identify patterns, and develop a variety of model types. You’ll also contribute to the improvement and re-design of current models, collaborating with cross-functional teams to translate insights into actionable solutions.

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.

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.

The Sr Data Analyst will conduct data analysis to support the development of new product features, establish systems for measuring feature usage and adoption, and report on product feature success. Responsibilities include conducting data analysis and research, communicating results, defining and running product experiments, and creating dashboards to present feature-level usage. Collaboration with stakeholders and understanding data models are also key.

Lead and execute the development, validation and automation of analytical pipelines and statistical models that support metadata-driven clinical data processing, reporting, and regulatory submissions. This is a hands-on technical leadership role, ideal for a senior data scientist or statistical programmer who enjoys coding, problem-solving, and working cross-functionally to bring rigor, reproducibility, and automation to clinical reporting workflows.

The Workforce Planning team is seeking a Senior Analytics lead to support call volume forecasting within our Service organization. This role will own long term forecasts for multiple call centers and consult on short term and partner volume forecasts, including understanding call volume drivers, such as policy sales/retention, telephony routing, eService/self service options, and underwriting/pricing changes. This role will create forecasts and review forecasts created by junior/contracted analysts and will own explaining those forecasts to service stakeholders.