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Data Science & Analytics
Virtasant
Virtasant, a US-based AI and cloud engineering consultancy, is hiring an Intermediate Analytics Developer to join an AI-focused team building customer-facing reports and dashboards for a SaaS workforce-training platform. The role is fully remote and open to candidates based anywhere in Latin America who have strong English and hands-on SQL, BigQuery and Looker skills. You will build and maintain user-facing reports, develop and maintain data models and pipelines in Google BigQuery, apply statistical methods to surface insights, and work with AI agent tools to automate analytics workflows. The engagement is a full-time (40 hours per week) independent contractor agreement working 8 hours a day on US East Coast office hours, with payment in USD on a biweekly or monthly schedule of your choice. The listing states: If you are based in Latin America, have a strong English level and SQL, BigQuery, and Looker skills, this role is for you. Compensation is not disclosed on the listing.
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Build and maintain user-facing reports and dashboards in Looker that help customers understand their workforce. Develop and maintain data models and pipelines in Google BigQuery, including partitioning and clustering. Apply statistical methods such as t-tests and linear regression to deliver insights. Collaborate with product, development, design and research teams and review data schemas for new features. Troubleshoot issues across the analytics stack. Use AI agent tooling to automate analysis and reporting tasks.
Degree in a quantitative field or equivalent experience. 3+ years of experience in data analysis or a similar role. Strong proficiency in SQL, BigQuery and Looker. Python experience for data tasks. Familiarity with generative AI tools and LLMs. Solid statistics foundation (t-tests, linear regression). Clear communication with technical and non-technical audiences. Strong English. Based in Latin America and able to work US East Coast office hours. Independent contractor engagement.
Salary not disclosed
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