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Data Analyst

Role overview

Qualifications

  • 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.

Responsibilities

  • Contribute to the creation of a brand-new Data team from the ground up.
  • Produce defensible numeric figures based on datasets and business questions.
  • Analyze and report on data-driven insights that may change business decisions.
  • Automate recurring analyses or reports to improve efficiency.

Key facts

Hard skills

Other skills

  • Financial Literacy
  • Mentorship
  • Decision Making
  • Problem Solving
  • Communication

About the company

Ryz Labs logo

Ryz Labs

IT Services & IT Consulting

🤩 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!

Company details

Company typeStartup
IndustryIT Services & IT Consulting
Company size11 - 50

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Job description

Remote role within Argentina & Uruguay, fixed Term (6 months)

  RYZ Labs is seeking a skilled Senior Data Analyst to join our client's team—a pioneering company revolutionizing how micro-business owners transform their crafting passions into thriving businesses. In this role, you’ll have the unique opportunity to contribute to the creation of a brand-new Data team from the ground up. If you thrive on decision-making, enjoy shaping strategies, and love transforming your expertise into actionable outcomes, this role is tailor-made for you.

Requirements

Basic Qualifications

  • 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.

Preferred Qualifications

  • 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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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