Data Analyst

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

As a Data Analyst, you will have a cross-functional role and collaborate closely with teams to understand our data and develop insights.

• Deep-dive analyses: You will explore and analyse data to uncover trends, patterns, and potential issues that will help in the decision-making processes across all teams.

• 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 dashboards and charts 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.

• Interactions with stakeholders: You will work hand-in-hand with them to understand their needs, collect their feedback, and also evangelize data usage to help them make smarter choices.

• Continuous Learning and Improvement: As “never stop learning” is one of our values, you will grow along the way and learn how to use analytical methods and the different tools that we use (and will use) in our data stack.

• Experience: You have 1-3y of professional experience in data analysis (relevant internships can count).

• Education: You graduated from an engineering or business school (or equivalent).

• Mindset: You have an entrepreneurial mindset, you like challenges, you welcome feedback and you are willing to get better everyday to reach excellence.

• Problem-solving & Analytical skills: You love solving complex problems and analyzing data.

• Coding knowledge: Mastering SQL and python is not mandatory, as you can still learn when joining, but it’s a plus.

• Business acumen: You can understand the needs of your business stakeholders and get the big picture of how the business is running.

• Communication: You know how to present your conclusions clearly and synthetically (written and oral).

• Languages: You are fluent in English, both written and spoken.

Our perks

We believe that flexibility and trust are important parts of a company. Our work environment reflects this thanks to:

• Flexible remote: If you live in Paris, you can work from our office or from your place with no constraints. If you live elsewhere, you can get access to a coworking space.

• Work from anywhere: Do you want to travel to Italy for a month and work from there? For up to 3 months a year, you may work from most countries in the world.

On top of that, we offer many perks such as:

• a budget for remote work equipment

• a ClassPass subscription for you to stay in shape wherever you are

• premium health insurance (Alan Blue in France)

• a Swile card for your meals, if you are based in France

• frequent team events and in-person gatherings every quarter!

• and so much more, see here ⏪

• 20-min call with the Hiring Manager

• 45-min personality interview with two team members

• A case study followed by a 45-min debrief with team members / For Tech positions: live tests with team members

• 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!