Remote role within Argentina & Uruguay, fixed Term (6 months)
Numeric defensibility. Given a dataset and a business question, you can produce the figure, say where it came from, say how it's defined, and say what would make it wrong. We will test this directly with real data.
An analysis that changed a decision. A specific piece of work where the business did something different because of what you found. What you looked at, what you found, what changed, and what it was worth.
A caught-error story. A time you or a tool produced a confidently wrong number, how you caught it, and the checking habit you built as a result.
An automation portfolio. Two or three recurring analyses or reports you personally automated, with what changed in hours saved or errors avoided. Rough honest numbers beat polished vague ones.
Writing we can read. A short executive summary of an analysis, and one example where you delivered a finding that someone senior did not want to hear.
Bachelor's or Master's degree in a quantitative field — Data Analytics, Statistics, Mathematics, Economics, Computer Science, or similar.
5+ years of professional experience, including 3+ years as a Data Analyst, preferably in e-commerce or a comparable high-volume, transactional business.
Strong proficiency in SQL and Python for querying, analysis, statistical work, and visualization.
Experience working with large-scale datasets and conducting real statistical analysis, not just aggregation.
Working knowledge of data governance: source of truth, documentation, metric definition, and how to keep two reports from disagreeing.
Strong prioritization and project management — you can carry several requests without dropping the one that matters most.
Comfortable working independently in a fast-moving, lean environment where nobody is coming to scope the work for you.
Experience with a cloud data warehouse (Redshift, Snowflake, BigQuery) and dbt or an equivalent transformation layer.
E-commerce and marketing analytics depth: channel attribution, ROAS, cohort and retention analysis, LTV, promotional lift.
Exposure to apparel, distribution, 3PL, or another high-volume, product-based operation.
Financial statement literacy — you can read a P&L and ask a useful question about it.
Hands-on with AI and automation tooling (Claude, agentic SQL workflows, Apps Script, or similar) beyond occasional prompting.
Experience at a bootstrapped, profitable, or otherwise resource-disciplined company.
Experience mentoring junior analysts or reviewing others' analytical work.
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 who 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, and our expectations. The status quo is not good enough and never should be.
Skills Required
- Bachelor's or Master's degree in Data Analytics, Statistics, Mathematics, Economics, Computer Science, or a similar quantitative field
- 5+ years of professional experience, including 3+ years as a Data Analyst
- Strong proficiency in SQL
- Strong proficiency in Python for querying, analysis, statistical work, and visualization
- Experience working with large-scale datasets and conducting statistical analysis beyond aggregation
- Working knowledge of data governance, source-of-truth management, documentation, metric definitions, and report consistency
- Strong prioritization and project management skills
- Ability to work independently in a fast-moving, lean environment
- Ability to demonstrate numeric defensibility using real data
- Experience delivering analysis that changed a business decision
- Experience identifying incorrect analysis or reporting and establishing checking practices
- Portfolio of two or three personally automated recurring analyses or reports
- Strong written communication, including executive summaries and communicating unwelcome findings to senior stakeholders
- Experience with Redshift, Snowflake, BigQuery, or another cloud data warehouse
- Experience with dbt or an equivalent transformation layer
- E-commerce and marketing analytics experience, including attribution, ROAS, cohort and retention analysis, LTV, or promotional lift
- Exposure to apparel, distribution, 3PL, or another high-volume product-based operation
- Financial statement literacy, including the ability to read a P&L
- Hands-on experience with AI and automation tools such as Claude, agentic SQL workflows, or Apps Script
- Experience at a bootstrapped, profitable, or resource-disciplined company
- Experience mentoring junior analysts or reviewing analytical work
What We Do
Where startups soar! We're not just building startups - we're crafting the future. From ideation to execution, we provide the blueprint for startup success. We specialize in nurturing startups from the ground up, and supercharging existing ones with our top-tier technical talent solutions. Join us at Ryz Labs, where we turn promising ideas into thriving businesses. Let's shape the future of innovation together!
