Data Analyst
We usually respond within two weeks
Do you know about bsport?
We are a Barcelona based company that offers a platform combining boutique fitness and advanced technology. Our all-in-one features cover bookings, payroll, marketing and more, helping our partners streamline operations and boost their commercial success.
We have more than 2’000 clients in 40+ countries and continue to expand rapidly.
We provide our partners with:
- Our platform - the heart of the system (B2B)
- A white label iOS and Android mobile application (B2C)
- An integrated Video on Demand tool
- Our self-built Smart Marketing Suite
- A Webshop to up- and cross-sell different products
Our first successes
Since we launched in 2019, we have already achieved the following:
- We’ve built a community of over 6 million users
- Finalised a Series A Fundraising of $4+ million in December 2022
- Grown our team to more than 150 employees
We’re continuing to grow our team to become the #1 tech partner for boutique studios in Europe and the rest of the world!
What your future position looks like:
We are seeking a full-time Data Analyst to join our R&D team. The role will focus on two key objectives:
Internal Optimisation
- Empowering all teams by providing clear, reliable, and complete data
- Improving the impact of our sales team through lead scoring that predicts which salesperson should handle each lead
- Taking proactive measures with respect to the CSM team by identifying upstream indicators that may result in potential customer losses
- Gaining a deeper understanding of how our clients use our products, including through process mining, with the broader goal of personalizing/simplifying the platform based on user profile
Product Work
- Conducting statistical analysis of end-customer purchasing behaviors to help them better understand their base
- Creating a feature to predict cancellation rates of athletes in their courses so they can anticipate with theoretical overbooking
- Developing a feature to predict final course fill rates and suggest dynamic pricing to studios
- Strategic Management
- Defining and implementing metrics at different levels, either globally or by team
bsport has all the necessary tools to launch projects under the best conditions, thanks to our modern data stack, which includes:
- A datalake that consolidates all available data into a single database, including data from our platform, traffic, and external tools used by teams such as sales, marketing, and CSM.
- A functional data pipeline, Airflow, hosted on our AWS infrastructure.
- Well-integrated visualisation tools, such as Metabase, included in the stack.
Preferred Profile
- Graduated from a top Engineering or Business School
- 2-3 years of experience in a similar position
- Skills and interest in data analysis, particularly in SQL and Python
- Familiarity with statistical tools
We'd love to have you join us for many reasons, such as:
🌍 A multicultural and international team!
🚀 A stimulating SaaS environment within a supportive and a fast-growing company
🔋 Enjoy 25 days of paid leave to recharge
🏡 Embrace days of remote work
🏢 Work from our stunning office in the heart of Bastille
❤️🩹 Health insurance half covered
🛵 Public Transportation half covered
🏄🏽 Take part in bsport team building and sport initiatives
🛌🏽 Supported by bsport on sick days
About our Company Culture:
At bsport, we collaborate with passionate individuals who value diverse ideas and backgrounds. We believe that diversity is our most valuable asset.
Our commitment is to foster a positive and inclusive culture. We achieve this through team-building initiatives, open communication, professional growth opportunities, and by celebrating diversity in all its forms.
We value and respect every individual who is eager to make a difference, empowering them to contribute their unique skills and perspectives. Join our dedicated team to help create a thriving and welcoming workplace.
Join our team of passionate and committed people who are dedicated to creating a thriving and welcoming environment. Let's make it happen together!
Interview Process
- Discovery Call with one of our Talent Acquisition team member (30 min)
- Technical interview with a member of the data team (1h30)
- Technical interview about computer science skills (1h)
- Final Interview with our Lead Data (1h)
- Departments
- Data
- Locations
- Paris
- Remote status
- Hybrid
- Employment type
- Full-time
- Level
- Confirmed
Paris
Data Analyst
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