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Jobs at Doctolib SAS in Canada

Analytics Engineer Manager xfm

Analytics Engineer Manager xfm
Doctolib
Levallois-Perret
EUR 50,000 - 90,000
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Analytics Engineer Manager xfm

Doctolib
Levallois-Perret
EUR 50,000 - 90,000
Job description

What we do

Join a team of passionate entrepreneurs to transform healthcare!

Working in the tech team at Doctolib involves building innovative products and features to improve the daily lives of care teams and patients. We work in feature teams in an agile environment while collaborating with engineering design and business teams.

Doctolib is currently seeking an experienced Analytics Engineering Manager to lead a team of 67 individuals in the Product domain. As an Analytics Engineering Manager you will be owner of the complete data pipeline from data extraction to publication. Our approach to deliver value and impact is product oriented.

What Youll Do :

  • Manage and grow the AE team directly managing 67 engineers.
  • Define the technical roadmap in alignment with Tech & Product goals.
  • Work closely with Data Product Managers to help to iterate on Data Products.
  • Collaborate with Data & Machine Learning Platforms teams to empower innovation and make our stack performante reliable and stable.
  • Create a strong team culture aligned with our engineering standards and customer focus.
  • Participate in hands-on work including code reviews, grooming, and design review.

Who You Are :

  • Lead and manage a team of 67 individuals ensuring their professional growth and development.
  • Master the entire data lifecycle from data extraction to publication ensuring high-quality and reliable data assets.
  • Collaborate with cross-functional teams to drive data-driven decision-making and support various business initiatives.
  • Bring a fresh perspective to the team introducing new ideas and innovative approaches to analytics engineering.
  • Engage in cross-team collaboration working closely with the other 3 Analytics Engineering teams.
  • Help team members to make them grow and to develop their career.

What we offer

  • Free Health Insurance for you.
  • Up to 14 days of RTT.
  • Parental care program (1 month off in addition to the legal parental leave and 5 days off per child when the school starts).
  • Wellbeing program (free mental health and coaching offer with our partner).
  • A flexible workplace policy offering both hybrid and office-based mode.
  • Flexibility days allowing to work in EU countries and the UK (10 days per year).
  • Lunch voucher with Swile card.
  • Work Council subsidy to refund part of sport club membership or creative class.
  • Bicycle subsidy.

The interview process

  • Recruiter Interview.
  • Hiring Manager interview.
  • Technical interview.
  • Meet the team.
  • Meet the Data director.
  • Reference check / Criminal check background.
  • Offer!

If you would like to find out more about tech life at Doctolib feel free to read our latest Medium blog articles!

At Doctolib we believe in improving access to healthcare for everyone regardless of where you come from or what you look like. This translates into our recruitment process: Doctolib is an equal opportunity employer. We don’t just accept diversity at Doctolib; we respect and celebrate it!

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib regardless of your gender, religion, age, sexual orientation, ethnicity, disability, or place of origin. If you have a disability, let us know if there’s any way we can make the interview process smoother for you!

All the information transmitted via this form is processed by Doctolib for the purpose of managing applications. For more information on how Doctolib processes your application data, click here.

If you wish to exercise your rights or if you have any questions about the processing of your data, you can write to us at.

Required Experience :

Manager

Key Skills

Adobe Analytics, Data Analytics, SQL, Attribution Modeling, Power BI, R, Regression Analysis, Data Visualization, Tableau, Data Mining, SAS, Analytics.

Employment Type : Full Time

Experience : years

Vacancy : 1

* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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