Sr. Analytics Engineer (Brazil and Argentina Only)

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, Security & Mentorship: Drive enterprise data governance, metric standardization, and secure access controls, establishing single-source-of-truth definitions while mentoring junior and mid-level engineers in technical best practices

Within 1 Month:

- Immerse yourself in the company culture, get to know your team, and establish relationships with key business and technical stakeholders

- Deep dive into our data platform architecture, transformation pipelines, semantic models, and core business metric definitions

- Participate actively in team ceremonies and begin reviewing current architecture, dbt models, and system performance

- Deliver on initial high-impact analytics engineering user stories, demonstrating quick value within our existing pipeline frameworks

Within 3 Months:

- Take ownership of key analytics engineering initiatives to expand our semantic layer, support complex reporting needs, and shape our technical roadmap

- Drive root-cause analysis for complex data logic