Shine’s Data team

We build the most reliable data architecture to insure the best collect, analysis and data visualisation possible - it goes without saying that the data team plays an essential role for Shine ! ✨ Our squad is made of 4 Data Engineers, 1 scientist, 3 Data Analysts, 1 Lead Data Analyst and a head of data to insure top synchronisation with our product and or business.

You will report directly to Saghar, our Lead Data Analyst and will create and maintain the company's analytics infrastructure (data pipelines, data warehousing, and data visualisation tools) to support our needs. You will also evangelize best practices and be responsible for ensuring the reliability and integrity of the collected and analyzed data.

Regarding our stack, we are mainly using :

• BigQuery for our data warehouse
• Segment for events tracking, documentation and enrichment
• Mode, Metabase, Looker Studio and Mixpanel for visualization
• Google Analytics et Matomo for web data

Joining us as an Analytics Engineer 👋

• Proactively designing a product friendly data model by creating and updating data tables on different layers
• Collaborating with data analysts to create analytics tables that are ready for analysis
• Working as pair with Data Engineers to make sure the Analytics platform is logically integrating as part of the Data Platform
• Contributing to the development of the data team to ensure the adoption of best practices in terms of analysis, data visualisation
• Collaborating with Tech and Business teams who produce part of the data to give them feedback and improve how the data is produced
• Enriching our data documentation glossary which involves adding data and business definitions
• Working on the migration of all the dashboards from Mode Analytics to Data Studio

It's a match if 🤝

• You have 3+ years of experience in a Analytics Engineer or equivalent position (Data Analyst, BI, Data Engineer…)
• You're proficient with SQL in the context of complex data transformations
• You’re comfortable with a visualisation tool (ex: Data Studio, Looker, Tableau, Mode, Metabase)
• You have experience with data modelling, ETL processes and data warehousing
• You’re autonomous to script actions and tasks in your favorite language (Python, JS, Ruby, Shell…)
• You demonstrate the ability to communicate complex business activities, technical requirements, and recommendations in a clear and concise manner.
• You have a good product sense: ability to empathize with customers, understand business and product problems
• Your role is at the crossroads of different disciplines and you'll interact with a lot of different people - you enjoy working as a team-player and learning from others
• You stick to Shine’s values and are interested by our product 💛
• You can understand this job description and work in English (our data team is international!)

Life at Shine ✨

Working at Shine is joining a fast paced scale-up, a useful and UX driven product but not only…
Before anything else, it’s being a part of a great human experience in a company driven by amazing values toward people and ecological matters
We do believe that caring is not only about giving autonomy, responsibility and encouraging proactivity.

That’s why we offer:
💰 A fair and transparent salary (More informations)
🏠 A flexible and remote-friendly environnement. From France and Europe!
🏢 A brand new and stunning office in Paris - Also a nice corner in Station F
🖥️ Everything you need to work in perfect conditions (Co-working space, furniture, monitors, mouse, etc.)

But also...

👩‍💻 1 freelancing day / month. The perfect occasion to put yourself in a Shine’s user’s shoes (Shine premium is offered)
👪 A second parent leave extended to 8 weeks + 3 days of parental leave for sick child
💚 Healthcare program 100% covered by Shine for you and your family
🎶 Culture budget : 275€/ year to buy books or listen to music (Spotify, Deezer …)
🤸 Sport pack: 300€ per year to subscribe to gym, participate in sport competitions … Take care of yourself!
🚴‍♂️ Bike + transport : Refund of your fees, on jump seats like on bike paths!
☀️ 35 days of holidays for everyone!
🏝 1% salary bonus in June to enjoy your Holiday 

You wonder about our hiring process ?

1️⃣ A 45’ first call with Annaïg, our data talent acquisition specialist, to get to know each other and tell you more about Shine.

2️⃣ A 60’ technical Interview with Saghar, your future manager about your data experiences.

3️⃣ A 45’ Interview with Nicolas, our Head of Data + a 45’ cultural interview to give you more context about Shine’s values.

4️⃣ A half-day immersion for you to understand Shine’s culture, meet the team and get an introduction to our data analysis environment with a case study.