Design, build, and maintain scalable data pipelines for processing large volumes of transactional data.
Develop and own end-to-end data models, transformations, and analytics solutions for business intelligence and machine learning.
Evolve cloud-based data platforms and establish data quality practices to prepare for AI-powered use cases.
The company builds and scales data infrastructure for next-generation customer experiences and analytics platforms. It is a fast-growing technology company with a fully remote, collaborative culture.
Own business intelligence reporting and analytics, transforming raw data into clear, dynamic reporting that drives decision-making across the company.
Design, build, and maintain compelling reporting in Looker, and work directly with stakeholders across Sales, Marketing, Customer Success, Product, and Finance.
Write clean SQL, build data models in dbt, and analyze large datasets to provide solid recommendations to leadership.
Teramind is a global leader in user behavior analytics, insider risk management, and workforce intelligence, using a predictive, AI-driven approach to safeguard organizations' people, data, and operations. They have been a fully-remote team since 2014 and offer competitive compensation and career growth opportunities.
Own the transformation layer, including design, build, and maintenance of complex dbt models for internal and customer analytics.
Manage and monitor data ingestion pipelines to ensure high availability and low latency.
Optimise cloud data warehouse performance and build automated testing frameworks to proactively catch data issues.
i6 provides the world’s most advanced end-to-end aviation fuel management technology, enabling operational efficiency, transparency, and sustainability for airlines and fuel suppliers. They are a remote-first company with offices in the UK and recently raised Series B funding.
Build and maintain data models and transformations powering reporting in the Skimmer product using Fivetran, dbt, and Sigma Computing.
Manage and extend data ingestion across growing sources, develop transformations in Python and SQL against Snowflake.
Partner with product and engineering to turn customer needs into reliable, performant reporting experiences.
Skimmer builds a product that helps pool professionals understand and grow their businesses through data models and customer-facing reports. The company has a strong culture with a very high eNPS, emphasizing hard work, celebrating wins, and continuous improvement.
Manage end-to-end analytics delivery for client accounts, designing dashboards in Looker, Power BI, and Tableau.
Develop and optimize SQL queries and data transformation workflows using dbt.
Collaborate with stakeholders to translate business needs into analytical solutions and communicate insights.
This partner company operates as a recruitment platform that uses AI-powered matching to connect candidates with hiring companies. They employ a remote-first team and focus on innovative analytics technologies.
Collaborate with Finance stakeholders to understand requirements and deliver data models for financial reporting.
Build and maintain dbt models across the full modeling stack following layered dimensional modeling practices.
Apply software engineering best practices to analytics code: version control, testing, CI/CD, and documentation.
Seismic is a software company that provides a sales enablement platform. The Corporate Data & Analytics team builds data assets for financial reporting and planning across the business.
Transform complex data into actionable business insights that influence strategic decisions.
Develop, enhance, and maintain reporting solutions using Power BI and advanced visualization tools.
Translate technical analytics outputs into accessible insights for non-technical stakeholders.
Jobgether uses an AI-powered matching process to connect candidates with hiring companies. They focus on innovation, learning, and continuous improvement, offering a collaborative remote environment.
Design and own the data foundations that power decision-making across product squads, customer success, marketing, and external stakeholders.
Build and maintain scalable semantic layers and self-service analytics systems enabling non-technical stakeholders to access trusted insights.
Partner with product squads to translate operational and product challenges into production-ready data pipelines and analytics assets.
Our partner company is building a fast-scaling product and data ecosystem where analytics is a product itself, supporting healthcare innovation. It is a mission-driven organization offering a remote-first work model with a Paris office and a collaborative culture.
Build and maintain data transformation pipelines using dbt and Snowflake, ensuring data quality and lineage.
Harmonize multimodal clinical data from multiple health systems into a unified ontological layer for AI developers.
Implement data quality tests, CI/CD, and version control best practices for analytics codebases.
Dandelion Health is a health tech company building the world's largest AI training and clinical development platform. It is a small, early-stage startup with a culture of learning from data and improving to help clients improve health through AI.
Design and build scalable data models and pipelines using Snowflake and dbt.
Collaborate with cross-functional stakeholders to translate business needs into data solutions.
Establish best practices for data modeling, metrics, and documentation to enable self-service analytics.
The company is a remote-first SaaS provider building scalable solutions for enterprise customers. It fosters a culture of ownership, collaboration, and continuous innovation.
Assist in designing, developing, and maintaining analytical reporting ETL pipelines and front-end dashboards using SQL, Python, Snowflake, and pipeline management tools.
Contribute to QA and UAT protocols, proactively identify and resolve data quality issues, and support training for data users.
Collaborate on advanced analytics prototypes to drive strategic initiatives and maintain documentation for scalability.
NBCUniversal is one of the world's leading media and entertainment companies, creating and distributing world-class content across film, television, streaming, and theme parks. As a subsidiary of Comcast Corporation, it employs thousands globally and champions an inclusive culture with a rich tradition of community giving.
Analyze and interpret complex data sets from blockchain transactions, financial markets, and customer data using statistical techniques and visualization tools.
Develop and optimize SQL queries for columnar databases to ensure data accuracy and efficiency.
Collaborate with cross-functional teams to translate data insights into actionable recommendations and drive data-driven strategies.
Coinspaid Solutions is a fintech company building blockchain payment infrastructure for the global economy. With over 350 professionals working remotely across multiple countries, we were recognized as Best Corporate Culture in the Blockchain Industry in Europe in 2026.
Partner with product and business teams to drive rigorous analysis, from root cause to funnel drop-off, and turn data into prioritized recommendations.
Define and maintain metric definitions, set up tracking, and build automated reporting with alerting for KPI changes.
Design and interpret experiments, model data in dbt and BigQuery, and create AI-assisted analytics skills to scale impact.
We are building the operating system for value movement, enabling crypto, stablecoins, and tokenized assets. With 30M+ customers and 500+ ecosystem partners, we maintain a high-standards, high-velocity culture and are regulated across multiple regions.
Design, build, and improve production data models and products using SQL, dbt, Python, and BigQuery.
Turn business and customer questions into scalable solutions, owning delivery from scoping to actionable insights.
Partner with Product, Data Science, Engineering, and other teams to define requirements and manage expectations.
Lighthouse is a commercial strategy AI platform for hospitality, turning hotel data into real-time intelligence to drive revenue. With 850+ employees across 35 countries and over $100M in ARR, the company fosters a collaborative, innovative culture focused on customer success.
Work with senior business stakeholders to break down problems and design analytics solutions.
Provide technical leadership for best practices in data modeling, ETL, and data quality.
Design and build data pipelines to enable decision-making through analytics.
Nortal is a digital transformation company that delivers complex solutions for global enterprises and public sector organizations. With over 25 years of experience and 160 new hires annually, we foster a close-knit remote culture emphasizing autonomy, open communication, and respect for diversity.
Design, build, and maintain a scalable data warehouse on Snowflake with clean models and documentation.
Implement data transformation with dbt to ensure reliable, well-tested pipelines.
Mentor analysts and peers, fostering a culture of learning and continuous improvement.
Age of Learning is a leading developer of Pre-K through 2nd grade learning resources. Having served over 55 million children worldwide, the company is a global leader in advancing equity, access, and opportunity for all children.
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Design, develop and deploy advanced statistical or machine learning models for credit risk, pricing, collections, fraud, and other high-impact business use cases.
Lead end-to-end delivery of data science initiatives from problem framing through deployment and monitoring.
Partner with cross-functional teams including Portfolio Strategy, Engineering, Product, and Sales to integrate models and solve critical business problems.
Forward Financing is a fintech company that unlocks capital for small businesses across America. Since 2012, it has provided over $4.8 billion in funding to more than 92,000 small businesses and is recognized as a Best Place to Work by Built In Boston.
Build labor productivity models and workforce forecasts for clinical operations.
Develop financial models including revenue forecasting and cost-per-patient analyses.
Analyze patient vitals, EHR data, and clinician-generated data to surface insights for care delivery.
Cadence is a clinical AI company delivering continuous, proactive care for older adults with chronic conditions. It operates as a full clinical care delivery organization, with clinicians working alongside health system partners to extend primary care into patients' homes.
Design, build, and maintain production-quality dashboards and scalable data products to monitor key operating metrics in real-time.
Build advanced analytical models to unlock deeper insights into customer behaviors and map operational opportunities to financial outcomes.
Synthesize complex data into compelling, structured narratives and actionable insights for executive decision-making.
Grafana Labs is the company behind the open observability cloud, providing a fully managed observability platform with AI capabilities. The company has 35 million users and 7,000+ customers, with 1,600+ team members across 40+ countries, and is backed by leading investors.
Design, develop, and maintain scalable data pipelines that transform complex customer data into actionable business value.
Work across the full data lifecycle, from ingestion and transformation to activation and analytics.
Use modern cloud technologies and AI-assisted development workflows to create reliable, high-performing data solutions.
Jobgether uses an AI-powered matching process to help candidates find roles and connects top-fitting applicants directly with hiring companies. The company fosters a remote, collaborative environment with a focus on efficient recruitment.