DATA ANALYST, PRODUCT

Job Description

This position is remote-friendly.

🧚🏻 Our Data team

The Data team at Joko is turning mountains of data into actionable insights for all the teams! The Data team is part of our Operations department led by Quentin, our COO, and our mission is to empower the company to make informed decisions.

More Specifically, The Team's Responsibilities Are

• Data for Business: We create top-notch reports and tools, making it easy for teams to dive into data and excel in their decision-making.
• Help our stakeholders with the best data stack: We load and transform data, automate reports, and continuously improve our data stack. This allows teams to use valuable insights built on robust and scalable foundations.
• Spread the data culture: At Joko, we have a strong engineering and tech culture across all teams, making it an ideal environment for our Data team to have a significant impact. We provide support and training on data tools to our stakeholders, and by closely collaborating with them, we ensure that our solutions align perfectly with their operational needs.
  
  

🎯 What You Will Do

You will be the key partner of the Product team when it comes to analyzing our products. You will dig into our data to help improve products, create better user experiences, and guide smart decisions.

• Foundations of Product Analytics: You will build the foundations of how we perform Product Analytics at Joko by ensuring that the Product team has the right tools and reports to make informed decisions.
• Deep-dive analyses: You will explore and analyze data to uncover trends, patterns, and potential issues that will help in the decision-making and prioritization processes of the Product team.
• Performance monitoring and AB testing: You will build and monitor key indicators adapted to product use cases. Through AB testing, you will enable the continuous assessment of our features’ success and identify opportunities for improvement.
• Reporting and Data Visualization: You will participate in creating content, such as dashboards and charts, using our data visualization tool. You will be involved in defining the report's content and constructing it to effectively communicate data-driven findings to stakeholders.
• Data loading and transformation: You will be involved in loading and transforming the data as we have a full stack approach in Data at Joko. Of course, you will get some help on Data Engineering parts, but you will be involved in the entire lifecycle of our data.
• Cross-team Collaboration: You will collaborate with Product Managers, engineers, and other stakeholders to understand their needs, collect their feedback, and also evangelize data usage to help them make smarter choices.
  
  

Preferred Experience

• Experience: You have at least 3 years of professional experience in Data, including one significant experience in Product Analytics.
• Mindset: You have an entrepreneurial mindset. You enjoy challenges, welcome feedback, and strive to improve every day to achieve excellence.
• Product Analytics knowledge: You are knowledgeable in statistics and AB testing. Being familiar with Product Analytics tools (such as Amplitude) is a plus.
• Stakeholder management: You are comfortable interacting with multiple stakeholders. You know how to present your conclusions clearly and concisely, both in written and oral form.
• Project management: You are autonomous when it comes to project management, and you excel at breaking down complex topics into actionable items.
• Product knowledge: You have a good understanding of what a Tech product is, including its specifications, features, and the broader ecosystem in which it operates.
• Coding knowledge: You are proficient in SQL. Being familiar with Python is a plus.
• Languages: You are fluent in English, both written and spoken.
  
  

Recruitment Process

• 15-min call with the Hiring Manager
• 45-min personality interview with two team members
• A case study followed by a 45-min debrief
• 45-min Founders interview
• Reference calls
  
  

You might also be invited to meet other team members at the office for a coffee or a drink!

Additional Information

• Contract Type: Full-Time
• Location: Paris
• Possible full remote