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Product Data Analyst

Remote position within Argentina & Uruguay


Ryz Labs seeks a highly skilled and motivated Senior Product Data Analyst to join our client’s dynamic team. The ideal candidate will collaborate closely with product teams to understand their needs, leverage data to enhance product features, and drive innovation through strategic insights.


Key Responsibilities:

- Partner with product teams to define KPIs, track performance, and uncover insights that drive product decisions.

- Conduct deep-dive analyses on user behavior, feature adoption, and conversion funnels to improve engagement and retention.

- Develop and maintain data pipelines and product-focused analytics dashboards, empowering teams with real-time data.

- Design and analyze A/B tests to optimize product features and user experience.

- Work cross-functionally with engineering and business teams to identify growth opportunities and improve user experience.

- Present data-driven recommendations to leadership and stakeholders in a clear, actionable manner.

- Contribute to building a strong data culture by advocating best practices and improving data literacy across the company.


Basic Qualifications:

- 4+ years of experience in product analytics, data science, or a related field, preferably in a high-growth startup environment.

- Strong proficiency in SQL, SQL-like tools (e.g., Snowflake, Redshift) for writing complex and optimized queries.

- Experience with data visualization tools (e.g., Sigma, Tableau, Looker).

- Proficiency in Python or R for data analysis and statistical modeling.

- Strong understanding of A/B testing, statistical analysis, and experimentation frameworks.

- Experience working with event-based data tracking tools (e.g., Amplitude, Mixpanel, Google Analytics).

- Ability to translate complex data into clear, actionable insights for non-technical stakeholders.

- Excellent written and verbal communication skills in English, with the ability to convey technical information and make clear recommendations to non-technical product leadership.

- Results-oriented with the ability to identify dependencies and synthesize information from various sources.


About RYZ Labs:

RYZ Labs is a startup studio founded 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 was their 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 cloud computing technologies to create scalable and resilient applications. We aim to provide diverse product solutions for different industries and plan 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 it's 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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What You Should Know About Product Data Analyst, RYZ Labs

Are you ready to take your analytics expertise to the next level? RYZ Labs, a pioneering startup based in Buenos Aires, is on the lookout for a Senior Product Data Analyst who’s eager to make an impact! In this exciting remote position that opens doors across Argentina and Uruguay, you’ll become an integral part of a dynamic team working closely with product teams to understand their analytics needs and leverage data to inform product decisions. You'll dive deep into user behaviors and create insightful metrics that drive innovation and product improvements. As a Senior Product Data Analyst at RYZ Labs, you’ll thrive in a fast-paced environment where your skills with SQL, A/B testing, and data visualization will shine. You'll not only build and maintain analytical dashboards but also present your findings to key stakeholders, transforming complex data into actionable insights. Your work will directly influence user engagement and retention while promoting a strong data culture within the organization. Join us at RYZ Labs, where the founders' passion for developing revolutionizing businesses meets your expertise in product analytics. With a focus on customer-first initiatives and a commitment to ownership and impact, this is more than just a job; it’s a chance to grow your career while contributing to innovative projects in a collaborative environment. Are you ready to embrace this opportunity?

Frequently Asked Questions (FAQs) for Product Data Analyst Role at RYZ Labs
What does a Senior Product Data Analyst do at RYZ Labs?

At RYZ Labs, a Senior Product Data Analyst partners with product teams to define KPIs, track performance, and uncover insights to drive product decisions. This role involves deep-dive analyses on user behavior, feature adoption, and conversion funnels, as well as developing analytics dashboards that empower teams with real-time insights.

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What skills are required for a Senior Product Data Analyst at RYZ Labs?

The ideal Senior Product Data Analyst at RYZ Labs should have 4+ years of experience in product analytics or data science, strong proficiency in SQL and data visualization tools, and a solid understanding of A/B testing and statistical analysis. Familiarity with event-based tracking tools and the ability to communicate insights to non-technical stakeholders are also crucial.

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What is the work culture like for a Senior Product Data Analyst at RYZ Labs?

RYZ Labs prides itself on a customer-first mentality and a bias for action. As a Senior Product Data Analyst, you can expect to work in a remote, collaborative environment where ownership, humility, and continuous improvement are core values. This is a place where you can take initiative and significantly impact product development.

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How does RYZ Labs support professional growth for a Senior Product Data Analyst?

At RYZ Labs, the growth of a Senior Product Data Analyst is a priority, with access to diverse projects, opportunities for learning, and collaboration with experienced professionals. As part of a startup studio, you’ll have the autonomy to innovate and influence product strategies significantly.

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What tools does a Senior Product Data Analyst use at RYZ Labs?

A Senior Product Data Analyst at RYZ Labs utilizes SQL and data visualization tools like Sigma, Tableau, or Looker in conjunction with Python or R for data analysis. Familiarity with event-based data tracking and statistical modeling tools is also essential to perform effectively in this role.

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Common Interview Questions for Product Data Analyst
How would you approach defining KPIs for a new product?

To define KPIs for a new product, I would first collaborate with cross-functional teams to understand the product's objectives and user needs. Then, I would establish measurable metrics that align with these goals and assess the effectiveness of the product based on actionable data.

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Can you describe a complex dataset you analyzed and the insights you derived?

During my previous role, I analyzed a dataset of user engagement metrics for a mobile app. By applying statistical modeling techniques, I identified key trends in user behavior and provided actionable recommendations that led to a 15% increase in user retention.

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What method do you use for A/B testing and why?

I employ a systematic approach to A/B testing, starting with clear hypotheses and control variables. I believe in using predefined success criteria to determine the effectiveness of variations, ensuring reliable insights that can guide product decisions.

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How do you communicate complex data insights to non-technical stakeholders?

I focus on simplifying the data through visualization and storytelling techniques. By creating easy-to-understand dashboards and presentations that highlight key metrics and actionable insights, I can effectively bridge the gap between technical and non-technical audiences.

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What is your experience with SQL and how do you use it in your analysis?

My experience with SQL includes writing complex queries for data extraction and manipulation. I often use SQL to clean datasets, summarize trends, and integrate analytics for dashboards, allowing me to derive insights that directly inform product decisions.

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Describe a time when your analysis impacted a product decision.

In a previous project, my analysis revealed a significant drop-off in the user onboarding process. By presenting this data to the product team, we quickly implemented changes that streamlined onboarding, leading to a 20% increase in user activation.

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What tools do you prefer for data visualization, and why?

I prefer using Tableau for its versatility and ease of integration with various data sources. Its user-friendly interface allows me to create interactive dashboards effectively, which enhances my ability to convey insights to stakeholders.

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How do you stay updated on industry trends and best practices in product analytics?

I regularly follow influential blogs, join online communities, and attend webinars focusing on product analytics. I also engage with peers to share knowledge and learn from their experiences, which helps me stay current with emerging trends.

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What role do you think data plays in enhancing user experience?

Data plays a crucial role in understanding user behavior, preferences, and pain points. By leveraging insights from data analyses, product teams can make informed decisions to enhance user experience, drive engagement, and increase retention.

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What strategies do you use to ensure data accuracy and integrity?

I implement a robust data quality management process that includes regular audits, validation checks, and establishing best practices for data collection and entry. By prioritizing data accuracy, I ensure that insights derived are reliable and actionable.

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Full-time, remote
DATE POSTED
April 21, 2025

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