Description
Descriptif du poste
About Shotgun
We’re building Shotgun so event creators can meet and entertain their community. Shotgun enables them to reach more people, more easily, and better understand their community so they can focus on what matters: creating amazing experiences.
Shotgun’s app has become the go-to destination for people to discover events, organisers and keep up with beloved artists. By making it easy to find relevant events near you, purchase and resell tickets, sharing great experiences with friends becomes an every weekend experience.
Shotgun’s platform connects millions of fans to ten of thousands of creators and artists, we sold 10M+ tickets last year alone. Our vision is to help people have amazing experiences in the real world, where social lives are organized. And we believe this is just the beginning for Shotgun.
🚀 Mission
Shotgun as a company is at a pivotal step of its growth. We’re transitioning from the start up to the scale up stage. We want this transition to be as smooth as possible. To do so, we need to scale our analytical power faster than we grow our head count and data volume.
We wish to anticipate the moment when the analytical power will become the silo for projects to advance and the business to run. Luckily so far we have managed to build simple yet powerful organisation and data infrastructure that leaves us with a lot of room to keep growing until things start to get ugly.
It is in this anticipated strong growth context that we are looking for a Data Analytics Lead to progressively take over some key responsibilities in the data team while reporting to the Head of data. In the long run the Data Analytics Lead will be responsible for scaling the analytics power of Shotgun, leveraging both technical aspects of the data platform, ensuring a high level of data literacy in the different teams as well as managing and hiring new analysts.
🔨What you will do
- Manage, hire, lead and mentor junior team members, fostering an environment of learning and growth.
- Develop advanced data models to support complex analytics, including attribution modelling for conversion/traffic KPIs, user behavior analysis and A/B testing.
- Implement best practices in data analysis, ensuring high data quality and literacy across the organization.
- Design, implement, and maintain simple, efficient and reliable data pipelines using a modern data stack: Airbyte, DBT, Snowflake.
- Collaborate with business teams to understand their objectives and translate these into actionable data modelling projects for you and your team to carry on.
- Ensure scalability and performance of our data analytics infrastructure to handle large-scale dataset from diverse sources ensuring cost efficiency and robustness.
- Implement and maintain data quality checks and monitoring systems for accuracy and consistency.
- Innovate and integrate new technologies and methodologies to enhance Shotgun analytical power.
💡 The job is made for you if you are...
- 👩🏾🎓 You have a sharp analytical mindset and a solid academic background, with a Master’s degree in Engineering, Business Analytics, Data Science, or a related field.
- 🧠 You have a strong holistic mindset that you leverage to picture large and complex systems, breaking them down in smaller modular bricks you and your team can chew.
- 🕐 You have at least 5 years of hands-on experience in data engineering and/or analytics roles, with a proven track record of managing teams.
- 👀 You prioritize user-centric, practical solutions over shinyier cutting-edge alternatives.
- 🪄 You have exceptionally good SQL skills, and experience with working with tools such as DBT, cloud data warehouses and ELT ingestion systems.
- 📊 You have experience working in organisation that favoured self service analytics as the default data access mechanism.
- ⚙️ You have a good understanding of Data Engineering principles and best practices. Experience in actively contributing to the management of a Modern Data Stack is a plus.
- 🖇️ You are proactively seeking feedback and input from teammates to uncover opportunities, define project scopes, and address challenges.
- 🌐 You are fluent in English and French, and are able to communicate with the team across multiple offices - Portuguese a plus.
- 👪 Note to women : Shotgun as a company value gender and origin diversity not because it sells to applicants but most importantly because it is necessary to scale in a healthy manner and boost creativity. Problem is women tend to apply less often than men when they think they don’t match all job requirements. So if you think you’re not matching 100% of the requirements please apply !
🤩 Perks
- 💰 Competitive compensation: Between 60.000 and 70.000 €
- Work Remotely: Preference for Paris where our analytics team is located. Paid travel expenses to meet with your team once a month.
- 🕺 Event Voucher: Relish live experiences with a quarterly €150 voucher to attend events listed on Shotgun.
- ✈️ Team Off-sites you won't see elsewhere: We organise every quarter an off-site to gather all team members: 2 to 3 days to mix workshops, master presentations, good food and obviously some nights out.
- 🏋️♀️ Gymlib: Shotgun promotes sport activity; you will get preferential rates for various sports halls
- 🌱 Sustainability mobility bonus: in order to encourage the use of sustainable transportation means, you will be granted a contribution if you are using a bike for example to get to work.
- 🍔 Swile Lunch Card: Lunch card and much more: **https://www.swile.co/**
- 💊 Alan Health Insurance: We got you covered with Alan
- 👶 Childcare
Hiring process
We like to move fast but want to give you a chance to meet as much team members as possible:
- Introductory meeting with our Head of data (1 hour)
- Live Technical Test (2 hours)
- Interview with our COO and CPO (1 hour)
- Interview with product analysts (1 hour)
5 autres jobs qui pourrait t'intéresser:
- 🌐 Formateur des professionnels de santé - mission formation initiale F/H
- 🌐 3D Developer - Remote
- 🌐 UX Designer (remote)
- 🌐 Render Programmer (remote)
- 🌐 SOC Engineer (remote)
Obtiens 10x plus d'entretiens d'embauche grâce à l'automatisation des candidatures avec l'IA
En fonction de tes critères de recherche, postule automatiquement jusqu'à 1 500 offres d'emploi chaque mois