Senior Analytics

RYZ Labs

5d • Remote

About The Position

Ryz Labs is seeking a Senior Analytics professional with advanced SQL expertise and a strong background in product analytics to drive data-informed decision-making across the product organization. The role focuses on user behavior, product experiments, retention strategies, and insights across the customer lifecycle. The ideal candidate combines technical capabilities and business acumen to translate complex data into clear, actionable recommendations that influence product strategy.

The position works with product, engineering, marketing, and customer experience teams in a remote, distributed environment. RYZ Labs describes its culture as emphasizing autonomy, efficiency, learning, growth, challenging projects, and ownership. The opportunity is for professionals based in LATAM.

Requirements

• 5–7 years of data analysis experience focused on product analytics and user behavior.
• Advanced SQL proficiency, including complex joins, window functions, CTEs, and query optimization.
• Strong background in experimental design, statistical analysis, hypothesis testing, and A/B testing platforms.
• Deep experience with product analytics platforms such as Mixpanel, Amplitude, or Google Analytics and with product metrics.
• Understanding of statistical significance, confidence intervals, power analysis, and experimental design.
• Proficiency in creating clear, actionable dashboards and reports using BI tools.
• Experience analyzing user journeys, conversion funnels, and behavioral patterns.
• Experience with Looker, Tableau, or similar business intelligence platforms.
• Experience with Snowflake, BigQuery, or similar cloud data warehouse platforms.
• Familiarity with dbt for data transformation and modeling.

Nice To Haves

• Omni experience.
• Experience with cohort analysis, churn modeling, customer lifetime value, and retention optimization.
• Python or R skills for advanced analytics, statistical modeling, and automation.
• Background in consumer-facing digital products, e-commerce, or marketplace businesses.
• Understanding of customer journey mapping, customer experience metrics, and user experience analytics.
• Experience with machine learning models for user behavior prediction and segmentation.
• Ability to present findings and recommendations to product and business stakeholders.

Responsibilities

• Analyze user behavior, feature adoption, product performance metrics, and engagement patterns.
• Design, implement, and analyze product experiments and A/B tests to optimize user experience and product features.
• Build and maintain customer retention models, cohort analyses, and churn prediction models.
• Analyze customer journeys, lifecycle stages, conversion funnels, and user segmentation.
• Perform complex product analysis using advanced SQL techniques.
• Create and maintain product analytics dashboards and automated reports.
• Collaborate with product, engineering, marketing, and customer experience teams.
• Provide ad hoc analytical support for product decisions, feature launches, and strategic initiatives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed