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Data analyst

Description

Job description

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 5 Data Engineers, 1 scientist, 2 Data Analysts, 1 Lead Data Analyst and a head of data to insure top synchronisation with our product and or business.

Data analysis at Shine means working with a vast amount of data across varied domains (from payment transactions, user behavior and conversion, product usage, number of tickets...).

You will report directly to Saghar, our Lead Data Analyst, and will be involved mainly with our financial and product teams. Your role is central to enabling Shine to work as a more data-informed organization.

Regarding our stack, we are mainly using :

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


Joining us as a Data Analyst 👋

  • Implementing a common data base and unified reporting tools
  • Cleaning data and working on data modelling: create and update data tables on different layers
  • Working as pair with product and other data positions
  • Contributing to the development of the data team to ensure the adoption of best practices in terms of analysis and data architecture


It's a match if 🤝

  • You have 3+ years of experience in a data-analyst / product analyst position
  • You have a technical background (engineering school / relevant experience) - you know your way around statistics
  • You're comfortable with SQL and a visualisation tool (ex : Looker, Tableau, Mode, Metabase)
  • 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 have good communication skills and you are able to make your work accessible to a non-technical audience
  • 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!)

Bonus points:

  • You know a scripting language
  • Experience with SaaS and/or Fintech products


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

🏠 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.)

And a lot more ! Feel free to ask to Annaïg during your first call.


But also

👩‍💻 1 freelancing day / month. The perfect occasion to put yourself in a Shine’s user’s shoes (Shine premium is offered to help ofc)

👪 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!

👩‍⚖️ Unlimited subscription to a network of dedicated lawyers to support you through Ekie

☀️ 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 Marie, our Financial Planning & Analysis + a 45’ cultural interview to give you more context about Shine’s values.

4️⃣ An immersion day for you to understand Shine’s culture, meet the team and introduce our data analysis with some reflectional exercices.

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