Intermediate Analytics Developer

Job not on LinkedIn

🔥 0 minutes ago

💃 Latin America – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Virtasant

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏢 Enterprise

🤝 B2B

Consulting • Enterprise • B2B

Virtasant is a cloud services and optimization company that helps businesses migrate to, manage, and build on public cloud platforms. They combine a proprietary automation platform with managed services and FinOps expertise to reduce cloud costs (claiming average savings of over 50%), support Cloud FinOps programs, and deliver outcome-based engagements rather than hourly or seat-based billing. Virtasant also provides enterprise AI guidance and partners with major cloud providers (AWS, Google Cloud, Azure) to deliver migration, optimization, and 24/7 managed operations.

📋 Description

• Build and maintain user-facing reports to help customers understand their workforce and identify improvement opportunities • Develop and maintain data models and pipelines in Google BigQuery • Use partitioning and clustering to keep reporting fast and cost-effective • Apply statistical techniques to provide meaningful insights and support data-informed decisions • Collaborate with Product Managers, Developers, Designers, and UX Researchers on feature analyses and ad-hoc data requests • Deliver reports that surface product insights • Review data schemas for new features to support future analytics needs • Provide constructive feedback during pull request reviews • Troubleshoot issues across the analytics stack, from data ingestion through the warehouse and semantic layer • Work with AI agent tools to automate workflows and surface insights • Contribute to the Data team’s shared knowledge base and stay current on emerging analytics and data-development practices

🎯 Requirements

• Based in Latin America • Strong English level • Degree in a quantitative field, or equivalent experience • 3+ years of experience in data analysis or a similar role • Strong SQL skills • Hands-on experience with BigQuery and Looker • Experience with Python for scripting, data engineering, or pipeline work • Familiarity with Generative AI tools and LLMs • Working knowledge of data warehousing concepts • Solid foundation in statistics, including t-tests and linear regression • Ability to communicate clearly about data topics with technical and non-technical audiences • Good product and business sense • Experience building and managing projects within BigQuery Analytics Hub is considered a strong asset, but not mandatory • Knowledge of Java is considered a strong asset, but not mandatory

🏖️ Benefits

• Totally remote work • Full-time schedule (40 hours/week) • Choice of biweekly or monthly payment • Payment in USD • Independent contractor agreement