Data is shaping how the world’s biggest companies make decisions, build products, and serve customers. From analytics and engineering to machine learning and business intelligence, data roles are more in demand than ever. In this guide, we explore exciting data job opportunities at global top companies. Browse the listings, apply now and land your next remote data role!
Senior Data Engineer at GR8 Tech
Hiring Company: GR8 Tech
We’re looking for a Senior Data Engineer to design and operate a scalable data infrastructure powering a high-throughput, production-grade platform. You will own data systems that support analytics, operational workloads, and ML-driven capabilities across a multi-tenant environment. This is a hands-on senior role with architectural responsibility and end-to-end ownership under strict reliability, performance, and SLA requirements. You will influence core data architecture decisions and help evolve the platform to support growing scale and complexity.
Middle Data Analyst for Sport Team at GR8 Tech
Hiring Company: GR8 Tech
This role exists to drive data-informed decision-making within the Sportsbook product by uncovering growth and monetization opportunities through deep product analytics and experimentation. It ensures that product initiatives are measurable, insights are actionable, and key metrics remain consistent and reliable across the organization.
Data & Growth Analyst at Sweatpals
Hiring Company: Sweatpals
We’re looking for a Data & Growth Analyst to own the analytics backbone of our marketplace. You’ll sit within the AI Squad, reporting to the Head of AI, but your work will directly support Product and Growth decisions. This is a high-ownership role where you’ll shape how we measure success, run experiments, and make decisions.
Join Our Telegram Channel for Instant Alerts.Data Scientist – Credit at Best Egg
Hiring Company: Best Egg
We are seeking a Data Scientist to drive critical risk decisions through design and development of machine learning solutions. This role includes building and supporting end-to-end data pipelines used for modeling and reporting. You will work closely with cross-functional partners, including product, analytics, and engineering teams, to ensure models and insights are built on high-quality, reliable, and well-governed data.
Lead Instructor: Data Analytics (General Interest) at Correlation One
Hiring Company: Correlation One
Lead Instructors at Correlation One are responsible for delivering high-quality, live, virtual instruction and partnering with company personnel to drive exceptional learning outcomes. Their main focus as educators is to conduct large synchronous online lectures on technical content, training anywhere from 100 to 8,000+ diverse learners at a time, depending on the program. This role involves preparing and leading virtual classroom sessions, collaborating with operations personnel, and contributing to the overall success of the program.
Data Analysis & Economics Experts at G2i
Hiring Company: G2i
Responsibilities: Loading and cleaning datasets; Running regressions, time-series models, or statistical tests; Generating statistical outputs, tables, and charts; Writing and executing analysis scripts or do-files
Join Our WhatsApp Channel for Instant Alerts.Staff Data Analyst at Weedmaps
Hiring Company: Weedmaps
As a Staff Data Analyst at Weedmaps, you will shape how the business understands and acts on data insights. You will be a key thought leader helping senior leadership from across the business turn their objectives into data strategies that drive multi-million dollar decisions. Rather than waiting for requests, you will proactively identify opportunities, challenge assumptions with data, and publish insights to the broader cannabis industry.
Data & AI Engineer at FortifyIQ
Hiring Company: FortifyIQ
We’re seeking a Data & AI Engineer to develop intelligent data pipelines and analytics solutions that power smarter decisions across silicon design, verification, and manufacturing. You’ll transform engineering data into actionable insights through automation, modeling, and visualization.
Data Analyst – Client Coverage Group at Xapo Bank
Hiring Company: Xapo Bank
We are looking for an experienced Data Analyst to join our team. This role focuses on enabling analytics to support better decision-making, developing data products for the Client Coverage Group, and extending support to other areas as part of the data analytics team. The ideal candidate combines deep technical expertise with strong business acumen and will play a key role in our client strategy, sales operations, and overall data strategy.
Lead Data Engineer at Zora
Hiring Company: Zora
We’re looking for a Lead Data Engineer to build the data infrastructure that powers our Trade Platform. As our onchain social network scales, robust data systems are critical to processing billions of trading events, calculating real-time earnings, optimizing liquidity, and surfacing the right trading opportunities to our users. You’ll work at the intersection of blockchain data, high-volume trading systems, and consumer social products to build the data foundation that drives our creator economy.
Data Analyst, Economics at Chainlink
Hiring Company: Chainlink
As a Data Analyst, you will combine economics, data science, and blockchain expertise to shape incentives, optimize network design, and influence the decision-making of our Economics and Executive Leadership teams. You will design, analyze, and operationalize economic models for production applications. You will collaborate across departments to bring innovative solutions from concept to production, ensuring economic soundness and scalability throughout.
Data Engineer at Mento
Hiring Company: Mento
We’re looking for our first Data Engineer to build the data infrastructure that powers insights and features across our coaching platform. You’ll own data pipelines for coaching sessions, user analytics, and business operations, while establishing the foundation for our data architecture. This is not purely about business analytics – In this role, you’ll join our engineering team and work closely with product, engineering, coaching, and leadership teams. You’ll be embedded in product development—understanding feature requirements, instrumenting data collection, and building systems that power product capabilities.
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