Remote Data Jobs · Python

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.

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.

We're looking for a creative Data Scientist to join Experian Automotive and shape the future of data-driven decision-making. You'll design and implement advanced analytics solutions, standardize and automate data processes, and develop statistical, machine learning, and forecasting models that power business intelligence and client insights.

As an Advanced Data Platform Engineer, design and implement scalable, cloud-native data platforms that integrate modern lakehouse technologies, distributed compute frameworks, and cloud-native services to support diverse analytical use cases and enterprise-scale insights. This role emphasizes technical depth, performance optimization, and governance best practices to deliver secure and reliable solutions. You'll work on systems leveraging Apache Spark, Delta Lake, and Iceberg.

In this role, you will develop and optimise core algorithmic models in marketing scenarios. Responsibilities include user behaviour prediction, profiling, ROI estimation, and traffic allocation strategies. You will design and build precision marketing models such as CTR/CVR prediction, LTV forecasting, and channel attribution analysis.

We are looking for an experienced Data Engineering Analyst Lead/Scientist to join our Data Intelligence & Attributes team to transform raw trade and transaction-level data into high-value consumer features that guide decisions across the credit lifecycle from marketing and acquisition to account management and collections. You will report to the Director of Data Engineering.

We're seeking an Insights Manager to lead a small team and deliver high-impact analytics, partnering cross-functionally with Data Engineering, BI, and Product to transform data into reusable insight products. You'll define analytical models, manage their build, and elevate stakeholder decision-making through storytelling and recommendations. This is a hands-on leadership role with direct influence.

Design the semantic data layer, develop automated dashboards, and translate data into actionable insights for product, marketing, and finance teams. You’ll work closely with product leadership to define KPIs, ensure data consistency, and evolve BI processes to support product growth. This is a hands-on position combining strategic impact with technical depth — perfect for someone who enjoys shaping analytical frameworks and bringing clarity through data.