Vp Data

At the heart of **Brigad** is the idea that everyone should have the opportunity to pursue their passion by being valued, considered and, above all, free. This includes finding fulfilment in your work and career, balancing it with your personal life, and being fairly compensated and respected.

Brigad is proud to give thousands of **talents** today, and millions tomorrow, the means to achieve this lifestyle. We believe so firmly in our mission “**To value work and make it accessible to all**” that we have written it into our mission statement.

Since **2016**, this ambition has materialised by providing our users with the best app on the market to connect self-employed professionals with healthcare and catering establishments for short-term missions.
- ️ Our **users** are right, giving Brigad an NPS of 77/100 out of 5000 responses and sharing how Brigad changed their lives

If initially, Brigad deployed itself in the catering (restaurants, collective catering) and healthcare sectors (care homes and clinics), tomorrow, even more sectors will be concerned. Everywhere, talents aren’t equipped to pursue their passion while **being correctly considered and accessible.**

Brigad is currently available in the largest cities in France (Paris, Lille, Lyon, Bordeaux, Marseille, Strasbourg..) and in the UK (London, Manchester, Birmingham ), with the ambition to expand well beyond **France and Europe**.

Exciting challenges are waiting for you: expect to discover new countries in which Brigad will expand, new industries, a top-notch product, a fast-paced development, and a solid team united around a genuinely tangible and positive impact on our daily users’ lives. A spirit can also be found on Glassdoor with a grade of **4.6/5**.

You can find more about the technical team in this video

I**s this the perfect fit for you? Great Feel free to apply, and let's talk about it.** ✨

**Your mission**:
**Data strategy master**

You become the person in charge of the data strategy at Brigad, and you will get to:

- Continue building the analytics team so they can provide for each strategic entity (Product, Sales, Tech, Strat, etc.):
- Dashboards to manage their activities
- Data analysis to answer their questions
- Data analysis to provide insights / strategic topics to address.
- Continue building the data engineering team:
- Adding new data sources to our lake house
- Creating the data pipelines needed to bring data to the analytics team.
- Industrialise our current data platform in collaboration with the DevOps team.
- Building our data science team:
- Build our first ML platform with the DevOps and data engineering team.
- Oversee the development of our first models that will go into production.
- Identify business / strategic topics we can leverage our data science capacities on.
- Be the bridge between Brigad's strategic orientations and data team operations.- You understand our markets, targets and business model.
- With the leads (data science, data engineering, data analytics), you create roadmaps that help us achieve our goals.
- You present your projects to the strategic committee and keep them updated.
- Every critical topic triggers deep analysis and business propositions.

** what for you might ask?**
- We want to build analytics capacities to become a data-driven decision-making company. Today, some decisions are taken based on gut feeling or partial analysis. It can generate errors in interpretation and, therefore, in decision-making. We also want to develop our analytics potential to be more efficient. If we better understand our key business indicators, features usage/efficiency or users’ behaviour, we can push or stop initiatives currently running.
- Data Engineering is the backbone of every data operation. We want to pursue a state-of-the-art, robust, fast data platform that integrates every data we need and serves it where we need ML models, visualisation tools, analytics team, etc.
- Forecast industries need to drive marketing campaigns and sales operations, analyse data prices to help define the right price for the proper connection or analyse tens of thousands of possible connection possibilities to find the best are just a few examples of what data science can bring to the table to help us carry out our mission and help millions of people working.
- Building technologies and teams for the sake of it doesn’t bring much value to anyone. You represent the link between strategy and operations, so plans are executed smoothly and timely. But as any good middle manager would know, the other side is to trust and rely on experts in their field to impact how strategy is defined depending on objective metrics and technical possibilities. When you have that balance in place, it’s all about communication, impact and communication (yeah, twice).

**To deliver all that, you will have to lead three teams.**
- Data Engineering: With the lead data engineer
- Continue developing our Data Platform ;
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