Senior Data Analyst — Drive Decisions in E‑commerce

Ryz Labs; Buenos Aires; Hybrid; ARS 68,215,000 - 98,533,000; Full time

Job summary

Ryz Labs is seeking a Senior Data Analyst to join a client’s e-commerce team for a six-month fixed-term period. You will own key metrics across pricing, cohorts, payments, logistics, and marketing channel performance, translating data into decisions rather than dashboards.

You will collaborate daily with Marketing, Operations, Finance, Customer Experience, and Engineering to ensure data reliability and actionable insights.

Qualifications

• Bachelor's or Master's degree in a quantitative field.
• 5+ years of professional experience, including 3+ years as a Data Analyst.
• Strong proficiency in SQL and Python for querying, analysis, statistics, and visualization.
• Experience working with large-scale datasets and conducting real statistical analysis.
• Automation portfolio with recurring analyses/reports and measurable impact.

Responsibilities

• Own in-depth analysis across the business: customer base and cohort behavior, pricing, payment systems, logistics and fulfillment performance, and marketing channel efficiency.
• Find trends, patterns, and anomalies that matter, and propose actionable steps.
• Partner with business-unit leaders, Finance, Operations, and executives to understand the decision behind the request, not just the data pull.
• Bring the recommendation, not only the output; ensure the analysis informs decisions.

Skills

Analytical thinking

Statistical analysis

Data storytelling

Cross-functional collaboration

Education

Bachelor's or Master's degree in quantitative field

Tools

SQL

Python

dbt

Redshift

Snowflake

BigQuery

Job description

Ryz Labs is seeking a Senior Data Analyst to join a client’s e-commerce team for a six-month fixed-term period. You will own key metrics across pricing, cohorts, payments, logistics, and marketing channel performance, translating data into decisions rather than dashboards.

You will collaborate daily with Marketing, Operations, Finance, Customer Experience, and Engineering to ensure data reliability and actionable insights.