Analytics Engineer Manager (x/f/m)

Reposted 6 Days Ago
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Paris, Île-de-France
Senior level
Healthtech • Software
The Role
Lead a team of analytics engineers in managing the data pipeline from extraction to publication, fostering professional growth and collaboration across teams.
Summary Generated by Built In

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 6-7 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 You'll Do:

  • Manage and grow the AE team, directly managing 6-7 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 6-7 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 growth 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 0,5 days off per child when the school starts)
  • Wellbeing program (free mental health and coaching offer with our partner moka.care)
  • 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, 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 [email protected].

Top Skills

Agile
Data Extraction
Data Pipeline
Data Products
Data Publication
Machine Learning
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The Company
HQ: Île-de-France
3,117 Employees
On-site Workplace

What We Do

Since Doctolib's creation in 2013, we have had one purpose: strive for a healthier world.

1. We aim to improve the daily lives of care teams by providing them with a new generation of technologies and services.

2. We aim to improve health for all, by offering a fast and frictionless journey for all care episodes, creating new ways for people to receive care and empowering them to become actors of their health.

At Doctolib, we are honored to work in the healthcare field and we believe that innovation in healthcare should be handled differently. We apply 4 guiding principles in everything we do:

1. We create helpful solutions for care teams and people.
2. We serve everyone equally and create well-designed and accessible technologies.
3. We team up with our users to strive for a healthier world and act as one team.
4. We protect our users' privacy. It’s their health, their data.

To achieve our purpose, we are assembling a team dedicated to improving healthcare, with a human-centric approach and an entrepreneurial mindset.

www.doctolib.com

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