Remote Data Jobs • SQL

Seeking a highly analytical and detail-oriented Data Analytics & Revenue Reporting Specialist to join our team on a part-time basis. This role is ideal for someone who can dedicate 6 to 8 hours per day during the first week of each month to support Annual Recurring Revenue (ARR) and subscription-based reporting efforts. The ideal candidate will have a strong grasp of SaaS metrics, revenue data analytics, and business intelligence tools.

Data is core to how ClassDojo makes decisions. As a staff data scientist, you’ll help build the world's leading consumer education business, one that is already reaching tens of millions of parents, teachers, and children. You’ll help grow ClassDojo to our next major milestones while deepening love for our brand.

The product analytics team is responsible for developing our portfolio of reports and data insights that support product development teams seeking to improve the health of our members. Using data spanning app engagement, clinical outcomes, behavioral health indicators, and claims, you will partner with product and engineering teams to identify and solve the biggest challenges across Omada’s customers. The key job responsibilities include owning the data architecture, delivering key performance insights, and collaborating across multiple teams.

The Provider Data Analyst is responsible for managing and maintaining accurate healthcare provider information within organizational databases to support network operations. Responsibilities include intaking provider data from multiple sources, ensuring data accuracy, and collaborating with internal teams. They will also generate reports and assist in developing data management procedures and policies.

As a Data Engineer, you will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage in their respective industries. You will design, develop, and maintain data pipelines using dbt to transform and load data into a data warehouse.

Inform the future of Webflow with data by building a deep understanding of how our customers create for the web with our product. Partner directly with key product stakeholders to identify interesting business questions and provide the data and quantitative analysis to answer them, leading the development of KPIs and helping teams understand how to improve our user experience.

Lead and scale the data science function, building a high-impact team that drives data-driven decision-making, AI-powered optimization, and business intelligence across the company. Work cross-functionally with Product, Engineering, and Business teams to develop models that enhance pricing, personalization, fraud detection, and operational efficiency. Define and execute the vision and roadmap for Data Science at Engine.

As the Data Operations Analyst at CO:CREATE, you’ll play a foundational role in building out the data infrastructure that powers our product, operations, and artist experience. You’ll serve as the company’s go-to for trustworthy, actionable data. Your work will equip every team at CO:CREATE with the clarity and confidence they need to move fast, stay aligned, and build something remarkable for the world’s top tattoo artists.

The Bioinformatics Engineer will join a team focused on delivering custom analyses to support Biopharma customers, responsible for the retrieval, processing, and formatting of genomic data based on provided specifications, and rigorous quality control of generated reports, ensuring timely delivery across multiple concurrent projects.

Design, build, and maintain the data foundation behind our next-generation AI agent platform. You’ll work closely with AI/ML teams to power training, inference, and continuous learning through highly scalable data pipelines and cloud-native architectures. If you’re passionate about data infrastructure, performance optimization, and driving data quality at scale, we want to hear from you.