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Data analyst - Estuaire and Albert School MSc Data for Business







A vacancy for a data analyst working student (m/f/d) within Estuaire has arisen in Paris.
Please apply with a few words and CV at contact@estuaire.dev, if you hesitate to apply and want a quick answer, we will be happy to guide you.

Our Purpose, Our Team and Our Ambition

Our purpose is to help aerospace companies decarbonize their activities. Opportunities include: operating new generation aircraft, buying sustainable aviation fuel, investing into electric airplanes... we are here to help companies navigate them and choose the best options.
We are two co-founders from Ecole Polytechnique and Centrale with experience at Airbus, Preligens & Aéroports de Paris. Our passion for aviation grounds our determination to improve the environmental impact of the sector.
We built a software that we sell to airlines, regulators and aircraft lessors.
Would you like to work within an early stage company where much remains to be built, in touch with an amazing network of aerospace individuals with a genuine drive to make a difference ?
If so, then join Estuaire as data analyst working student (m/f/d) in Paris

Your Role

You will be part of the business team within Estuaire and work closely with our co-founder in charge of business development. In your role, across Data-science, Sales, you will be in charge of three activities:

● Business development & data :
○ Sales Strategy Development: Develop effective sales strategies based on existing deals won.
Conduct market research and competitor analysis to identify opportunities of new features and feed the product team
○ Process Improvement: Identify and propose data-driven solutions to optimize sales processes and marketing practices (newsletters, LinkedIn posts)
○ CRM Management: Ensure data accuracy and compliance within the CRM system
○ Data Analysis and Reporting: Collect, analyze, and interpret sales data to identify trends and provide timely insights. Develop reports and visualizations to communicate key metrics : CAC, LTV, Win ratio

● Product & data:
○ Further develop our flight analytics platform with the improvement of our data ingestion &
cleaning pipeline & our carbon-emissions precise modeling
○ Exchange with clients and find the data analyses that will best help them in their decision process

● Sustainability & data
○ Based on existing regulations, identify the best (validated, exhaustive, cheap) datasets to deliver
CO2-equivalent values for a set of aviation activities

Your Qualifications and Skills

We are looking for the following qualifications but do not worry if not matching all those :

● Pursuing a degree in business or data (knowledge of aerospace is a nice-to-have)
● Knowledge of data-science is mandatory with ability to write code in Python or equivalent
● Candidate should be curious, autonomous and a reliable team player with interest for innovation in aviation
● “This cannot work” is a sentence you use very carefully
● English work proficiency is necessary for this position, French is not required but obviously beneficial in Paris

Recruitment process

● A first interview with our co-founder in charge of business composed as follow :
○ Get-to-know and discussion about motivation and interests (30 min)
○ Data case on sales problem (30 min)
● A second interview with our other co-founder
○ Get-to-know and discussion about motivation and interests (30 min)
○ “Day at work” case to understand to reaction to a particular situation (30 min)

Environment and benefits

● An office at Station F in the center of Paris, within the world’s largest incubator, working remotely is
possible but as we try to build our company culture, we also value the presence of our office
● A gender diverse and international team
● A start-up atmosphere: a high level of responsibility and impact, no micro-management, experimentation
encouraged, asynchronous work
● We aim to promote the balance between professional and personal life as much as possible
● We are resilient and constantly seek for solutions and simplifying complex things

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