Senior Analytics Engineer

RYZ Labs; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

RYZ Labs is seeking a Sr. Analytics Engineer to build and maintain data infrastructure, focusing on dbt modeling, Snowflake optimization, and self-service analytics. This role embeds with business teams, bridging technical data engineering with analytics needs.

The ideal candidate has 7–10 years in analytics engineering, expert SQL, dbt mastery, and experience with Looker/Tableau. Remote role for Latam-based professionals, with strong collaboration across distributed teams.

Qualifications

• 7–10 years of analytics engineering experience focused on BI and data modeling.
• Expertise with dbt, macros, packages, testing and deployment.
• Deep Snowflake experience including performance optimization and cost management.
• Advanced SQL with complex query optimization.
• Strong BI tooling experience (Looker, Tableau or similar).
• Data governance, quality frameworks, testing and documentation.
• Proficiency with Git workflows and CI/CD practices.
• Experience building enterprise-grade BI solutions and data warehouses.

Responsibilities

• Design, build and maintain dbt models for BI and analytics.
• Optimize Snowflake warehouses for performance and cost.
• Develop self-service analytics via Omni dashboards and reports.
• Implement data quality checks and governance across data assets.
• Collaborate with analysts and stakeholders to translate requirements.
• Establish analytics engineering best practices and reviews.
• Work with engineering teams on data pipelines and new sources.
• Monitor query performance and data model efficiency.

Skills

Analytics engineering

dbt (dbt.io)

Snowflake tuning

Advanced SQL

BI visualization (Looker/Tableau)

Data governance & quality

Git & CI/CD

ETL/ELT pipelines

Data warehousing

Communication with business

Tools

Airflow

Fivetran

Stitch

Python

Snowflake features

Job description

Remote role (only for professional based in Latam)

RYZ Labs is looking for a Sr. Analytics Engineer to join one of our client’s teams, a personal health brand that is building the future of daily essentials.

We are seeking a Sr. Analytics Engineer to build and maintain our data infrastructure, focusing on dbt modeling, Snowflake optimization, and self-service analytics capabilities. This role will be embedded within our business teams while maintaining technical excellence in data engineering and analytics engineering practices. The ideal candidate will bridge the gap between technical data infrastructure and business analytics needs.

Required Qualifications:

• 7-10 years of analytics engineering experience with focus on business intelligence and data modeling.
• dbt Expertise: Advanced proficiency with dbt (data build tool) including macros, packages, testing, and deployment.
• Snowflake Mastery: Deep experience with Snowflake including performance optimization, cost management, and advanced features.
• Expert SQL Skills: Advanced SQL capabilities with complex query optimization and performance tuning.
• Visualization Tools: Strong proficiency with Looker, Tableau, or similar BI platforms (Omni experience a plus).
• Data Governance: Experience with data quality frameworks, testing, monitoring, and documentation standards.
• Technical Skills: Proficiency with Git workflows, CI/CD processes, and analytics engineering best practices.
• Business Intelligence: Experience building enterprise-grade BI solutions and data warehouses.

Preferred Qualifications:

• Cloud Platforms: Experience with AWS, GCP, or Azure data services and cloud-native data tools.
• Programming Languages: Python or R for data analysis, automation, and advanced analytics.
• Data Pipeline Tools: Experience with Airflow, Fivetran, Stitch, or similar data orchestration tools.
• Analytics Background: Understanding of marketing, product, and customer analytics use cases.
• Communication Skills: Ability to explain technical concepts to non-technical stakeholders.
• Remote Collaboration: Experience working effectively with distributed teams across time zones.
• Monitoring Tools: Experience with data observability and monitoring platforms (Monte Carlo, Great Expectations, etc.).
• Performance Optimization: Advanced knowledge of warehouse optimization and cost management strategies.

Key Responsibilities:

• Data Modeling: Design, build, and maintain dbt models for business intelligence and analytics use cases.
• Infrastructure Management: Optimize Snowflake warehouse performance, cost management, and data architecture.
• Self-Service Analytics: Build and maintain Omni dashboards, reports, and self-service capabilities for business teams.
• Data Quality: Implement data quality checks, monitoring, and governance processes across all data assets.
• Business Partnership: Work closely with analysts and business stakeholders to understand requirements and deliver technical solutions.
• Technical Leadership: Establish best practices for analytics engineering, code reviews, and documentation standards.
• Cross-functional Collaboration: Partner with engineering teams on data pipeline improvements and integration of new data sources.
• Performance Optimization: Monitor and optimize query performance, data model efficiency, and warehouse costs.

About RYZ Labs:

RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world.

Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years.

At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists.

Our values and what to expect:

• Customer First Mentality - every decision we make should be made through the lens of the customer.
• Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.
• Ownership - step up if you see an opportunity to help, even if not your core responsibility.
• Humility and Respect - be willing to learn, be vulnerable, and treat everyone that interacts with RYZ with respect.
• Frugality - being frugal and cost-conscious helps us do more with less.
• Deliver Impact - get things done in the most efficient way.
• Raise our Standards - always be looking to improve our processes, our team, our expectations. Status quo is not good enough and never should be.