This internship would suit a student looking for work alongside their studies as part of their degree (internship credit required!).
This role welcomes both full remote and hybrid work arrangements. However, applicants must be based in Spain, France, UK, or Italy.
ABOUT LAUNCHMETRICS
Launchmetrics provides the First AI-powered Brand Performance Cloud for Fashion, Luxury and Beauty (FLB) companies to make smarter decisions around their brand marketing efforts.
Our suite of SaaS leverages AI and data to help our customers plan, execute and measure brand marketing initiatives. With over a decade of industry expertise, we have helped more than 1,200 customers create inspiring, impactful and measurable experiences.
Founded in NYC and with operating headquarters in Paris, we have employees in ten markets worldwide. We have been the trusted brand performance technology to brands worldwide such as Dior, Fendi, Shiseido, NET-A-PORTER and Adidas as well as industry partners like IMG, the Council of Fashion Designers of America, the British Fashion Council, and Camera Nazionale Della Moda Italiana.
ABOUT THE ROLE
At Launchmetrics, data is the backbone of our products and the core of the value we deliver to our customers. Given data is a key asset for the company, data management is a top priority: it has a tremendous impact on the work of the different teams and creates new opportunities for products to bring value to our customers!
While you will bring immediate value by applying your data analytics skills, there is an opportunity to learn elements of the data engineering discipline, where you can have a bigger impact on data architecture and generation upstream.
Our vision of ATLAS 🌟
ATLAS is our Data Lake, powered by DataBricks. It serves as the central repository for storing, managing, and analyzing huge volumes of data within our organization. This data lake is designed to empower data-driven decision-making, enhance collaboration, and drive innovation across all departments.
As a Data Analyst Intern, your role will be to enhance the functionality and utilization of Atlas by:
- Assisting in the management of Atlas Support Tickets: Act as a first point of contact for help tickets related to our Data Lake, ensuring swift and efficient resolution of queries and issues.
- Providing support on the Atlas Support Slack Channel, provide assistance and guidance to other engineers on coding questions and Databricks best practices, and fostering a collaborative environment.
- Conducting ad hoc data investigations, unearthing insights to drive business strategies and decisions.
- Troubleshooting data inconsistencies, ensuring the reliability and accuracy of our data.
- Crafting presentation slides, translating complex data findings into digestible and compelling narratives for non-tech teams.
- Developing and maintaining BI dashboards, creating visual representations that drive insights and actions.
- Documenting our data assets and dashboards, enhancing data discovery inside our data catalog.
ABOUT YOU
Skills and Qualifications:
- Academic Background: You are currently pursuing a degree in Data Science, Computer Science, Information Technology, or a related field and you have some demonstrable practical experience in data analytics.
- Curiosity and Enthusiasm: You have a passion for data analytics and technology, coupled with a proactive attitude towards learning and problem-solving.
- Technical Skills: You are familiar with Metabase or similar BI tools, basic understanding of SQL/NoSQL databases, and interest in DataLake.
- Analytical Abilities: You have strong capability to analyze data, identify patterns, and derive meaningful insights to support business decisions.
- Communication: You are able to simplify complex data concepts for various audiences.
- Problem-Solving: You demonstrate efficiency in troubleshooting and resolving issues, demonstrating quick thinking and adaptability.
- Collaborative Spirit: You work effectively within a team, leveraging collaboration to meet collective goals.
- Continuous Learning: You demonstrate commitment to staying informed on the latest in data analytics technologies and practices.
- Fluency in English: You must be fluent in English, both written and verbal, to ensure effective communication across our global team.
Extra-Credit:
- Coding Proficiency: You have experience with Python or R for data manipulation and ETL processes.
- Data Documentation: You are willing to apply data documentation and governance practices.
- Experience with Product Analytics: You are familiarwith product analytics tools, understanding the dynamics of product interaction and user experience.
- Social Media Monitoring: Skills in leveraging social media analytics, to track brand mentions, and trends, providing valuable insights into consumer behavior.
- Passion for FLB Industries: You are interested in Fashion, Lifestyle, and Beauty sectors, wishing to apply data analytics within these industries.
We value diverse perspectives and recognize that skills and experiences can be gained in various ways. If you're excited about this opportunity but don't meet every single requirement listed, we would love to hear from you and encourage you to submit an application!
RECRUITING PROCESS 🤝
#1: Intro Call - Juliette Le Guennec, PeopleOps Manager
#2: Meet & Greet w/ hiring manager - Suril Vara, Technical Project Manager
#3: Skills Assessment - Suril Vara, Technical Project Manager & Andrea Sozzo, Data Product Director
Our Commitment: Launchmetrics is proud to be an Equal Opportunity Employer building a diverse and inclusive workforce. Link the EEO. If there is anything extra we can do to help you feel at ease during your interview process, please let the PeopleOps team member you’ll be meeting with know.
