Remote Data Jobs • SQL

You'll play a crucial role in developing and maintaining scalable data pipelines and infrastructure to drive data analytics and machine learning solutions for our clients. Responsibilities include designing data pipelines, collaborating on data architecture, optimizing performance, and ensuring data quality.

Build the analytics infrastructure that powers data-driven decisions across our FinTech platform serving millions in Africa. As a Senior Analytics Engineer, you will own analytics datasets and pipelines for specific product domains with real-world impact, driving the analytics direction for your areas.

As a Sr. Data Scientist in the Value Management team, you will build and improve analytical models focused on Time Series Forecasting and Planning. You will structure forecasting data and team up with business stakeholders to unlock growth and enhance profitability. Strong business acumen and programming skills are fundamental to translate data into insights that drive business decisions, planning and forecasting usage and subscribers.

Partnering with B2B Marketing teams, this role measures and reports on progress toward revenue and growth goals. Acting as a strategic thought partner, you'll identify opportunities while shaping the B2B marketing roadmap. You will turn complex data into clear, actionable insights to inform media investment and campaign strategy. Collaboration across Marketing, Sales, Analytics Engineering, and Product makes data decision-ready.

As a Senior Analytics Engineer on the analytics team, lead the development of Pano AI's data transformation layer, partnering with stakeholders to translate data needs into actionable models and solutions. Your work will lay the foundation for high-impact insights across the organization.

Scale the depth around each lesson—from a clear plan to a robust layer of practice and guidance—so learners get the reps and clarity they need, and generative systems stay grounded in golden examples of great pedagogy. Save the world from AI slop by using intelligence-on-tap to drive engaging interactive learning, not walls of text.

Help scale the data infrastructure that powers our payments platform. You’ll be responsible for building and maintaining robust, efficient data pipelines and models that support everything from operational reporting to product insights. This is a hands-on role focused on developing and optimizing the modern data stack.

We are looking for a skilled and motivated Data Engineer to join our data team with a primary focus on orchestrating and maintaining data workflows using Dagster. In this role, you will be responsible for designing, implementing, and managing scalable and reliable data pipelines across various environments. It will entail the development of data transformation tasks and pipelines, collaborating closely with business analysts, data architects, and business stakeholders.

Transform language models into real-world applications by building AI systems for a global audience. This remote role in Indonesia involves working across the stack, from backend logic to frontend delivery, to build intelligent systems that scale fast. Fine-tune models, design evaluation frameworks, and bring AI features into production to ensure models are safe, trustworthy, and impactful at scale.

As a Data Scientist, you’ll play a critical role in shaping how Roofr leverages data to drive product, customer, and business decisions. You’ll partner with Product, Growth, Finance, Marketing and Revenue teams to uncover insights, design experiments, and build models that directly impact strategy and execution. You’ll be both strategic and hands-on, applying advanced analytics to solve high-impact business problems.