Our Analytics Center of Excellence is looking for its Staff Engineer for Analytics

based in Paris or Lille

Analytics at Decathlon

About 200 skilled professionals work in our Analytics functions: Analytics Engineering (AE), Data Analytics (DA) and BI Engineering (BIE). They take the refined data from the Core data products generated by the Data Engineers as input. They process this data, then productionalize dashboards in Tableau and deliver insights to drive business decisions. 

Those teams are split in the 3 main business verticals of the company: 

• Supply Chain (transport, logistics, assortment planning, industry)
• Commerce (includes ecommerce, circularity and stores)
• Digital Sports (conception of products)

We also work regularly with 20 data teams in countries. 

Job Description: Staff Engineer for Analytics

The Analytics Center of Excellence is a gathering of 5 Analytics experts: 

• Bruno Verissimo, an expert on Tableau
• Martin Lang, Hugo Hauraix and you, as experts full stack analytics supporting one of the business verticals
• the manager, Hugo Palmer (former staff)

We share our time (50%/50%) between:

• Working together as a team to create new technical standards, review and POC new technologies, define and drive adoption of good practices.
• Supporting the analytics teams above-mentioned to provide expertise on technical topics linked to our stack and to advanced analytics. This open position is about supporting hand-in-hand one of the three main business verticals, to be determined during the recruitment process and wishes of your future colleagues. 

YOUR RESPONSABILITIES

• Drive the organization towards excellence in execution by any means necessary, including:
• Technical and methodological training
• Community engagement and animation
• Evolution of standards in collaboration with the Data Platform team
• Implementation of self-evaluation grids
• Assessment of skills
• Conducting architecture reviews and peer code reviews
• Lead the technical analytics practice of your business domains 
• Proactively suggest improvements to the data stack based on your past experiences
• Day to day support to the teams
• Support to the recruitment process of your future teammates

YOUR CONTRIBUTION 

• Several technical skills are required for this position: Analytics Engineering / Data Engineering, Data Analytics, Data visualization & dashboarding. You should be an expert in at least one of those domains, and have significant experience in others. 
• As the Analytics Engineering practice is the most recent of the 3 positions we support, we request hands-on experience on our Analytics Engineering tool, DBT. 
• You should be able to articulate tech and business together. You have a deep understanding of at least one business pillar (marketing, sales, finance, human resources, stock management…). 
• Analyzing data and information to support arguments for convincing others of the value of ideas

If you don’t meet 100% of the qualifications outlined above, tell us why you’d still be a great fit for this role in your application!

Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related field.
• 6-7 years of experience in data analysis, statistical modeling, computer science or related fields 
• Please share in your application any significant contribution you have in the Data community; for example Slack groups animation, articles, open source projects, talks in conferences, or Social Network publications.
• Fluent in English. 

BENEFITS

• International environment
• Freedom of choice of work tool (Mac, Windows)
• Local project team and sharing with the global network (international route)
• Upgrading of skills (diversity of projects, languages and technologies)
• Internal and external training courses
• Shareholders
• Remote Friendly: 2 days/week
• Monthly and quarterly premiums
• RTT

Interested in joining us? 

Here is what your hiring journey will look like: 

• A 30/45 minutes chat with our Talent Acquisition Manager, Thierry, to get to know you, understand your career expectations and answer your questions
• A 1 hour Soft Skills interview to assess your soft skills adequation with Decathlon
• A 1h30 technical interview: the second part needs preparation. A case will be shared by Thierry Bouscal and candidates will return their findings (format free: slides, doc, github repo, notebook) by email at least 4 hours before the beginning of the interview. 
• A 45 min technical interview assessing your Analytics Engineering experience and some data full stack general knowledge. No preparation required - interview by Hugo Palmer. 
• A 45 min technical interview assessing your ability to perform a Data Analysis: a preparation will be required. Interview by 2 future colleagues Staff Engineer for Analytics. 
• 1 hour of Collaboration & Leadership interview by a VP. 

Side note: Staff Engineer for Analytics profiles and job opportunities are seldom; as one of the biggest employers in Data we open this position externally only every ~1-2 years. We hope you are as excited with this opportunity as we are!