Cardiologs recrute un(e)

Full Stack Data Analyst

CDI • Paris, France

Cette offre est lié au département Product development

Mots clés:
Data

At Cardiologs, we aim to democratize access to expert cardiac care through medical-grade artificial intelligence and cloud technology(e)Our flagship product, the Cardiologs Holter platform, is a leading software for analyzing ambulatory ECG used to help diagnose over 1 million patients annually.
 
More recently, we launched a Remote Patient Monitoring solution in the US and in Europe, allowing patients to share their smartwatch ECGs with their physicians, who in turn use our cloud-based RPM platform to streamline ECG reviews.
 
In November 2021, we announced that we were being acquired by Philips to expand our cardiac portfolio.
 
We have an innovative, result-oriented work environment where we foster ambition and dedication while being mindful of our teammates’ work and achievements(e)We also nurture our company culture with monthly all-hands meetings and apéros, and other fun activities. 

The Full Stack Data Analyst is responsible for collecting, formatting, analyzing & interpreting Cardiologs data to drive or support product & business decision making(e)They will mainly work with Product Managers to better understand user behaviors, help build the roadmap and monitor feature usage.

What you will do

As a Full Stack Data Analyst, you will have 3 main missions:

=> Keep the data warehouse clean and up-to-date
- Maintain the data pipeline (Airbyte, Segment, Big Query, dbt)
- Keep documentation and data definitions up to date
- Deploy quality tests and alerts
- Develop and document the analytics data model

=> Support the Product team with data insights
- Support decision-making and prioritization for the next roadmap
- Provide support on product research and specifications of upcoming features
- Monitor product releases with PMs
- Provide insights on the product usage, uncover user behaviors and identify opportunities for improvement

=> Make data accessible and spread the data culture
- Provide relevant dashboards to teams in need
- Train end users on analytics data model & BI tools
- Drive the analytics expertise & take part in cross-functional exploratory projects

Job requirements

We are looking for a skillful and dedicated individual with:

- Both product-oriented mindset & technical skills
- Minimum 1 previous experience in a similar role
- Autonomy, precision, and intellectual rigor
- Ability to communicate clearly and succinctly
- Strong expertise in SQL, knowledge of PythonSolid knowledge in modern data stacks (analytics tools, cloud environments, ELT, BI modeling, data visualization, etc.), and experience with BI tools
- Experience with dbt is a plus
- Fluent in French and English
What we value
 
We value a positive mindset, collaboration, a sense of ownership, transparency, the ability to embrace ambiguity, a talk-less-do-more attitude, and a sense of humor to enjoy ourselves along the way(e)If you identify with our values and want to contribute to our company, we’d love to have you in!
 
What we offer
 
- Beautifully by-the-book startup offices in central Paris (we are in the 2nd arrondissement) 
- A respectful, fun, collaborative work environment
- Flexible WFO/WFH policy
- Lunch vouchers (Swile card)
- Daily fresh fruits and healthy (or not) snacks
- Monthly apéros
- Yearly team off-sites
 
Our recruiting process
Being authorized to work in the EU is a precondition of employment.
 
1- Quick introductory HR phone call (20-30 min)
2 - Technical interview in our office or by Zoom with the Hiring Manager and a team member (90 min)
3 - Performance interview in our office or by Zoom with 2 different persons from the team (90 min)
4 - Culture interview (with lunch or drinks with the team if possible!) with 2 different persons from the team (90 min)
 
To close the process, we'll do some reference calls(e)In parallel, we'll organize a quick call (15-20 min) with our General Manager and Co-founder, Yann Fleureau (only if you did not have the opportunity to meet him in one of the previous interviews)

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