Remote Data Jobs · Analytics

The Onchain team lives where code meets capital, turning raw blockchain data into insight, strategy, and alpha. You’ll help Kraken understand where liquidity lives, how capital moves, and what signals the next trade, product, or market entry.

Define the roadmap, architecture, and systems that transform how data drives growth across the business. This role will blend strategy, architecture, and execution to turn Rockbot’s data into a growth engine, building and leading a centralized data organization spanning analytics, business intelligence, and data-driven business processes. As the most senior data leader, you will partner with various teams to define and operationalize the data roadmap.

Hands-on Analytics Engineer who thrives in fast-moving, high-complexity environments and enjoys bringing clarity to ambiguity. You’ll join a growing data team with many open, high-impact challenges across billing, finance, product, GTM, and business operations. You’re someone who asks thoughtful questions, goes deep to understand how things work, and loves transforming loosely defined user problems into scalable, reliable data solutions.

Tekion, a fast-growing cloud-native SaaS innovator transforming automotive retail, is seeking a Vice President of Data & Intelligence to lead the strategy, development, and commercialization of data-driven solutions for our automotive partners. The VP will shape how Tekion leverages intelligence and advanced analytics to drive value and inform product innovation.

As a Senior Product Manager – Data & AI at SmithRx, you will lead the product strategy and execution for the core platform capabilities that leverage data, analytics, and machine learning to power automation, intelligence, and faster decision-making across our ecosystem. This includes developing a deep understanding of product and usage analytics to inform data driven decisioning.

The Fraud Intelligence team is the secret sauce behind Extend’s post-purchase protection platform, building cutting-edge analytics engines to detect and prevent fraud. This role involves analyzing large-scale data to uncover fraud signals, influencing business cases and pricing strategies, and responding to emerging fraud threats. A high-ownership position where your work will directly protect retailers, enhance customer trust, and drive the company’s bottom line!

The Data Analyst will work with teams (product, growth marketing, engineering, data science, CX and business owners, etc.) to measure, understand, and monitor key business metrics across our mobile apps and websites. The ideal candidate will be working with datasets across a variety of systems (SQL, Firebase,...). Deliver ad-hoc analysis with actionable insights, translate stakeholders’ priorities into dashboards and maintain data pipeline automation.

Radicle Health is looking for a Product Analyst & Insights Manager to empower product teams to operate efficiently, make informed decisions, and scale product success across the organization. In this role you will enable product teams to focus on strategy, deliver impactful solutions and achieve shared goals across teams with a passion for data storytelling.

Earning trust with prospects and customers by quantifying value with clear, data-backed business cases. The Solution Analytics team turns pilot datasets into rigorous retrospectives and ROI narratives that inform partner decisions and accelerate adoption. We support existing partners with analyses. We’re looking for an analyst who blends business acumen with analytical rigor. Success means owning the end-to-end analytics workflow.

We’re looking for a skilled Data Engineer with hands-on experience in Apache Airflow to join our data team. In this role, you’ll be responsible for designing, building, and maintaining scalable data pipelines and workflows that support our analytics and data-driven products. Develop , schedule, and monitor data pipelines using Apache Airflow. Collaborate with data analysts, scientists, and engineering teams to ensure reliable data delivery. Optimize ETL processes for performance, reliability, and scalability.