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 idóneo 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 **** 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
#J-*****-Ljbffr

📌 Senior Analytics Engineer (Tandil)
🏢 Ryz Labs
📍 Tandil