Senior Analytics Engineer, Brazil, Argentina

🕒 September 18

🌐 Brazil, Argentina – Remote

🇧🇷 Brazil – Remote 🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 10%

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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Niche

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2002

📚 Education

🏪 Marketplace

🤝 Non-profit

Education • Marketplace • Non-profit

Niche is a platform that simplifies the search for educational institutions, ranging from K-12 schools to colleges and graduate schools. It provides users with data, reviews, and insights to help them find schools that fit their individual needs. Niche offers tools for comparing schools, tracking the application process, and accessing scholarships and financial aid information, making it easier for students and families to navigate the education landscape.

📋 Description

• Architect, build, and scale enterprise data models, translating complex raw data into clean, business-ready datasets • Drive data accuracy, documentation, observability, semantic consistency, and warehouse performance • Lead the design and maintenance of modular dbt models, semantic layers, and BI views • Partner with executive stakeholders to translate business strategy into analytics architecture, governance, and self-service capabilities • Architect and maintain Kimball dimensional models, standardized metric definitions, warehouse transformation logic, and scalable BI datasets • Design and govern production-grade models powering the enterprise semantic layer and AI/ML integrations • Establish data quality, automated testing, lineage tracking, cost optimization, and alerting across dbt pipelines • Refactor legacy business logic and fragmented query architectures into scalable semantic pipelines • Drive data governance, metric standardization, secure access controls, and mentor junior and mid-level engineers • Lead analytics platform workstreams, own domain models, conduct root-cause analysis, and shape the technical roadmap • Report to the Manager, Data Engineering (Core)

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field (or equivalent practical experience) • 6+ years of experience in analytics engineering, data engineering, or enterprise data modeling • Proven track record of architecting, deploying, and maintaining mission-critical, production-grade data transformation workflows and enterprise semantic models • Expertise in dimensional data modeling techniques (Star Schema, Kimball methodology), dbt, and advanced semantic layer tools • Extensive experience modeling complex business domains, product usage metrics, and unstructured/semi-structured data (JSON) for enterprise BI consumption • Strong software engineering background applied to data, including advanced git workflows, CI/CD, modular architecture design, and comprehensive code documentation • Advanced proficiency in SQL, dbt, Snowflake, Python, Git, and modern BI platforms such as Looker or Tableau • Deep expertise with Google Analytics, marketing/ad/social media platforms, CRM/Salesforce systems, and custom semantic metrics • Comprehensive understanding of modern data stack architecture, transformation strategies, semantic layer implementation, automated testing, governance, and BI integrations • Only applications/resumes written in English will be accepted