Analytics Engineer (x/f/m)

What you’ll do

We are looking for an Analytics Engineer (x/f/m) to join the team and help us transform the access to healthcare!

Important point at Doctolib: the data is fully encrypted and anonymized.

You will be part of the Analytics Engineering team which has different goals:

• Build, maintain, and evolve data products that provide insights and support decision-making across Doctolib
• Collaborate with stakeholders to understand their data needs 
• Explore data to validate business rules
• Evaluate complexity
• Define specifications and develop them
• Communicate with stakeholders to ensure alignment (constraints, business rules, timeline, project updates)
• Project management (project split, grooming, timeline)
• Monitor the product (test and measure)
• Continuous improvement
• Define and implement high level reporting (KPI definitions, Dashboards creation and maintenance)
• Define roadmaps in collaboration with PMs and stakeholders
• Ensure data products quality (monitoring), security (GDPR, legal, infrastructure security), and availability (code optimization, performance monitoring, architecture optimization)
• Stakeholders guidance, empower data self-service to your stakeholders (train and advice)

Everyone in the team is able to develop full stack data skills (from the source to the publication).

Your responsibilities within the team include but are not limited to:

• Work with Business/Engineering teams to challenge the needs
• Build and maintain data pipelines (Python)
• Build and maintain datamarts in Redshift (SQL)
• Build dashboards for the high level reporting (Tableau)
• Ensure training on data to end users (Metabase and Tableau)
• Monitor the quality of the data provided
• Be a key player to improve our architecture

The team hosts quarterly Data Innovation Days, hackatons for trying new tools/architectures or developing applications you find useful for the team.

Our stack

• ETL : Airflow / DBT
• Data Warehouse : AWS S3 / Redshift
• BI / Reporting : Metabase / Tableau
• GitHub
• Amazon Web Services

Who you are

If you don’t meet all the requirements below but believe this opportunity matches your expectations and experience, we still encourage you to apply!

You could be our next team mate if you: 

• Have at least 4-5 years of experience as a Analytics Engineer, BI Engineer, Data Engineer or a similar role
• Love to use SQL and know Redshift and/or PostgreSQL
• Have some knowledge of Python 
• Have already used BI tools such as Tableau, Metabase, Superset, Power B with a functional understanding of functional aspects of data (Sales, Finance, Web Analytics, Product)
• Have experience in code hosting platform (we are using GitHub)
• Have good communication skills, are results-oriented and proactive and always willing to learn
• Already worked with business teams and challenged their needs
• Speak both French & English 

Now, it would be fantastic if you:

• Have experience with DBT
• Have experience with AWS environment (S3/Athena/Firehose...)
• Have experience with Apache Airflow and Docker
• Are familiar with the GDPR regulations

What we offer

• Employee share plan for every Doctoliber (BSPCE)
• Free Health Insurance for you & your family
• Quarterly or monthly bonus (based on your position)
• Up to 14 days of RTT (except for Customer 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
• Reimbursement of public transportation or company car (only for Field Sales)
• Relocation support for international mobilities
• Slean voucher for home-office furniture

The interview process 

• HR Screen
• Take home test + Case restitution
• Hiring Manager Interview 
• Reference Check + Background check

Job details

• Permanent position
• Full Time 
• Workplace : Paris area
• Start date: asap
• Remuneration : fix + bonus on objectives (according to your profile)

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 hr.dataprivacy@doctolib.com.