Senior Analytics

Ryz Labs

Tandil

Remote

ARS 138,361,000 - 199,855,000

Full time

2 days ago
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Job summary

RYZ Labs is seeking a Senior Analytics expert with advanced SQL skills and a strong product analytics background to drive data-informed decisions across our product organization. You will analyze user behavior, design and evaluate A/B tests, and help optimize retention across the customer lifecycle.

This remote role is for LATAM-based professionals. You will collaborate with product, engineering, marketing, and customer experience teams to translate complex data into actionable recommendations

Qualifications

  • 5-7 years of data analysis experience with focus on product analytics and user behavior.
  • Expert SQL Skills: Advanced SQL proficiency including complex joins, window functions, CTEs, and query optimization.
  • A/B Testing Expertise: Strong background in experimental design, statistical analysis, hypothesis testing, and A/B testing platforms.
  • Product Analytics: Deep experience with product analytics platforms (Mixpanel, Amplitude, Google Analytics) and product metrics.
  • Statistical Analysis: Solid understanding of statistical significance, confidence intervals, power analysis, and experimental design.
  • Data Visualization: Proficiency with creating clear, actionable dashboards and reports using BI tools.
  • User Behavior Analysis: Experience analyzing user journeys, conversion funnels, and behavioral patterns.
  • Business Intelligence: Experience with Looker, Tableau, or similar BI platforms (Omni experience a plus).
  • Data Warehousing: Experience with Snowflake, BigQuery, or similar cloud data warehouse platforms.
  • dbt Knowledge: Familiarity with dbt for data transformation and modeling.

Responsibilities

  • Product Analytics: Analyze user behavior, feature adoption, product performance metrics, and user engagement patterns.
  • A/B Testing: Design, implement, and analyze product experiments and A/B tests to optimize user experience and product features.
  • Retention Analysis: Build and maintain customer retention models, cohort analysis, and churn prediction models.
  • Customer Lifecycle: Analyze customer journey, lifecycle stages, conversion funnel optimization, and user segmentation.
  • Advanced SQL Analysis: Perform complex data analysis using advanced SQL techniques for product insights.
  • Dashboard Development: Create and maintain product analytics dashboards and automated reports.
  • Cross-functional Collaboration: Partner with product, engineering, marketing, and customer experience teams.
  • Ad Hoc Analysis: Provide analytical support for product team decisions, feature launches, and strategic initiatives.

Skills

Advanced SQL
A/B Testing
Product Analytics
Statistical Analysis
BI Dashboards
Looker/Tableau
Python/R for analytics
Data Visualization

Tools

Mixpanel
Amplitude
Google Analytics
dbt
Snowflake/BigQuery

Job description

Remote opportunity (only for porfessionals based in LATAM)

Ryz Labs is seeking a Senior Analytics with advanced SQL expertise and a strong background in product analytics to drive data-informed decision-making across our product organization. This role will focus on analyzing user behavior, designing and evaluating A/B tests, improving retention strategies, and generating insights across the customer lifecycle. The ideal candidate combines strong technical capabilities with sharp business acumen, enabling them to translate complex data into clear, actionable recommendations that impact product strategy.

Key Responsibilities
  • Product Analytics: Analyze user behavior, feature adoption, product performance metrics, and user engagement patterns
  • A/B Testing: Design, implement, and analyze product experiments and A/B tests to optimize user experience and product features
  • Retention Analysis: Build and maintain customer retention models, cohort analysis, and churn prediction models
  • Customer Lifecycle: Analyze customer journey, lifecycle stages, conversion funnel optimization, and user segmentation
  • Advanced SQL Analysis: Perform complex data analysis using advanced SQL techniques for product insights
  • Dashboard Development: Create and maintain product analytics dashboards and automated reports
  • Cross-functional Collaboration: Partner with product, engineering, marketing, and customer experience teams
  • Ad Hoc Analysis: Provide analytical support for product team decisions, feature launches, and strategic initiatives
Required Qualifications
  • 5-7 years of data analysis experience with focus on product analytics and user behavior
  • Expert SQL Skills: Advanced SQL proficiency including complex joins, window functions, CTEs, and query optimization
  • A/B Testing Expertise: Strong background in experimental design, statistical analysis, hypothesis testing, and A/B testing platforms
  • Product Analytics: Deep experience with product analytics platforms (Mixpanel, Amplitude, Google Analytics) and product metrics
  • Statistical Analysis: Solid understanding of statistical significance, confidence intervals, power analysis, and experimental design
  • Data Visualization: Proficiency with creating clear, actionable dashboards and reports using BI tools
  • User Behavior Analysis: Experience analyzing user journeys, conversion funnels, and behavioral patterns
  • Business Intelligence: Experience with Looker, Tableau, or similar BI platforms (Omni experience a plus)
  • Data Warehousing: Experience with Snowflake, BigQuery, or similar cloud data warehouse platforms
  • dbt Knowledge: Familiarity with dbt for data transformation and modeling
Preferred Qualifications
  • Retention Analytics: Experience with cohort analysis, churn modeling, customer lifetime value, and retention optimization
  • Programming Skills: Python or R for advanced analytics, statistical modeling, and automation
  • Digital Product Experience: Background in consumer-facing digital products, e-commerce, or marketplace businesses
  • Customer Experience: Understanding of customer journey mapping, CX metrics, and user experience analytics
  • Advanced Analytics: Experience with machine learning models for user behavior prediction and segmentation
  • Communication Skills: Strong ability to present findings and recommendations to product and business stakeholders
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 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 most efficiently
  • 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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