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Business Analyst (Data) in the Admissions Department using Excel, Power BI, and SQL to build dashboards, perform ad-hoc analysis, and translate business needs into actionable insights for an online higher education group.
Lead end-to-end delivery of a GCP-hosted AI-powered super-app, managing Agile execution, microservices/Kubernetes architecture, CI/CD pipelines, vendor relationships, and cross-functional teams in Mumbai.
Data Engineer building scalable ETL/ELT pipelines and data models on Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Composer) using SQL and Python for enterprise analytics and AI use cases.
This Staff Full-stack Product Engineer role focuses on building AI-native growth features and agentic workflows to improve user onboarding, retention, and monetization. The role involves shaping the architectural layer for AI agents using a stack including Python, Kotlin, TypeScript, React, and various cloud infrastructure tools.
First dedicated data engineer owning the AWS-based data warehouse and pipelines, using Redshift, dbt, Python and SQL to model data for a UK property technology company.
Run paid-media campaigns across Google, Meta, LinkedIn and other platforms for Clara’s B2B fintech spend-management product, using AI daily to build audiences, generate copy, and automate reporting.
Run paid-media campaigns across Google Ads, Meta, and LinkedIn for a fast-growing B2B fintech, using AI daily to build audiences, draft copy, and optimize spend.
Builds and maintains data models, dashboards, and automation for Affirm’s revenue analytics using SQL, dbt, Python, and BI tools to support decision-making and merchant reporting.
Builds and maintains scalable data products, dashboards, and semantic layers for Affirm’s revenue analytics, using dbt, SQL, and cloud tools to power decision-making and AI integration.
Muito prazer, Sympla A maior e melhor plataforma de ingressos do Brasil! 🩵 Existimos para simplificar a conexão das pessoas a momentos únicos, e temos orgulho de ter inovação no nosso DNA. Acreditamos em experiências…
En Mercado Libre estamos democratizando el comercio y los servicios financieros para transformar la vida de las personas de América Latina. ¡Sumate a este propósito! Nuestro Marketplace es el lugar donde las personas…
The Data Engineer will design, build, and maintain scalable ETL pipelines and data models using big data technologies like Hadoop and Spark. This 18-month contract role involves collaborating with stakeholders to deliver BI insights and ensuring data quality and security.
Contract length - 6 months (possibility for extension) Location - Fully remote (UK or EU based candidates only) Daily rate - 750 if EU based or £650 (inside IR35 if UK based) I'm currently working with a growing…
About Starburst Starburst delivers enterprise intelligence at scale by giving organizations secure, governed access to all their data, wherever it lives. Built for distributed data environments, Starburst helps…
Ready to accelerate your career? Clara is the fastest-growing company in Latin America. We've built the leading solution for companies to make and manage all their payments. We already help over 20,000 large and…
Senior Product Analyst driving SEO and organic growth initiatives by analyzing performance, running experiments, and translating insights into product recommendations for e-commerce and marketplace clients.
Build and maintain scalable data pipelines on GCP, migrating workloads to BigQuery and ensuring high-quality, production-grade data products for analytics and BI.
Lead a team of data analysts to build scalable analytics, dashboards, and AI-assisted workflows that guide product and commercial decisions for a global B2B SaaS platform serving the travel industry.
Senior Product Analyst on Wise's FinCrime Screening team, using SQL, Python/R, and data visualization tools to drive analytics, build data pipelines, and balance risk mitigation with customer experience.
Builds and maintains AI-ready data pipelines in Snowflake, bridging raw data ingestion to AI feature outputs. Collaborates with data science and product teams to ensure data systems enable AI capabilities across the organization.
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