Sr. Analytics Engineer (Brazil and Argentina Only)

The posting, as Niche wrote it

About Niche

Niche is the leader in school search. Our mission is to make researching and enrolling in schools easy, transparent, and free. With in-depth profiles on every school and college in America, 140 million reviews and ratings, and powerful search tools, we help millions of people find the right school for them. We also help thousands of schools recruit more best-fit students, by highlighting what makes them great and making it easier to visit and apply.

Niche is all about finding where you belong, and that mission inspires how we operate every day. We want Niche to be a place where people truly enjoy working and can thrive professionally.

About The Role

**We are currently recruiting for this role in Argentina and Brazil only. We will not be considering US based candidates at this time. All interviews are being held remotely. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.**

**Only applications/resumes written in English will be accepted.**

We are looking for a Senior Analytics Engineer to join the Data Engineering team. You’ll architect, build, and scale our enterprise data models, translating complex raw data into clean, business-ready datasets while driving data accuracy, comprehensive documentation, observability, semantic consistency, and optimal warehouse performance. You will lead the design and maintenance of modular dbt models, semantic layers, and BI views for consumption by business analysts, data scientists, and executive stakeholders. This is an exciting opportunity to act as a technical leader on our team as we build the next generation of our analytics platform and semantic capabilities. You’ll be reporting to the Manager, Data Engineering (Core).

What You Will Do

• Proactive Business Context & Integration: Partner directly with cross-functional executive stakeholders to translate evolving business strategy into robust analytics architecture, proactively embedding rich context, governance, and self-service capabilities across the data layer
• Dimensional Modeling Leadership: Architect, document, and maintain complex Kimball dimensional models, standardized metric definitions, enterprise warehouse transformation logic, and scalable BI datasets tailored for high-stakes decision-making
• Semantic Layer and AI Architecture: Design, build, and govern production-grade data models that power the enterprise semantic layer, enabling seamless AI/ML integrations and business-wide self-service analytics
• Observability, Quality & Standards: Establish and enforce best-in-class data quality, automated testing, lineage tracking, cost optimization, and proactive alerting frameworks across all dbt transformation pipelines
• .Process Optimization & Scaling: Evaluate and refactor legacy business logic and fragmented query architectures, standardizing disparate analyst workflows into modular, highly scalable semantic pipelines
• Governance, Secu

[…]
izations

• Extensive experience modeling complex business domains (e.g., Salesforce, Google Analytics, ad platforms), product usage metrics, and unstructured/semi-structured data (JSON) for enterprise BI consumption
• Strong software engineering background applied to data, including advanced git workflows, continuous integration/continuous deployment (CI/CD), modular architecture design, and comprehensive code documentation
• Advanced proficiency in SQL, dbt (including macros, packages, and performance tuning), Snowflake, Python, Git, and modern BI platforms (e.g., Looker, Tableau)
• Deep expertise with Google Analytics, marketing/ad/social media platforms, CRM/Salesforce systems, and designing custom semantic metrics at scale
• Comprehensive understanding of modern data stack architecture, transformation strategies, semantic layer implementation, automated testing, governance, and BI integrations
• Self-directed technical leader, strategic problem solver, highly attentive to detail, exceptional communicator, and driven by metric standardization, performance optimization, and rigorous technical documentation

Interview Process

Candidate experience is a top priority for our talent and hiring teams. We believe in providing a transparent, authentic and comprehensive interview process where you have the opportunity to learn about us while we get to know you and your experience. The interview process is outlined here:

Phone Screen with Talent Acquisition Partner - 30 Minutes

Video Interview with Hiring Manager - 30 Minutes

Team Interview - 30 Minutes

Technical Interview - 90 Minutes

**We are currently recruiting for this role in Argentina and Brazil only. We will not be considering US based candidates at this time. All interviews are being held remotely. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.**

**Only applications/resumes written in English will be accepted.**