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Data Analyst Job Opening In Paris – Now Hiring Getaround


Job description

We’re one of the world's leading carsharing platform, with millions of users around the world, sharing thousands of cars in over 950 cities across 8 countries.Our mission is simple: Make our cities better places to live through carsharing.Carsharing empowers people to move in a smarter and more sustainable way: studies show that one shared car replaces between 5 and 8 privately owned cars, which frees up space in our cities while giving communities 24/7 access to cars when they need them.With our connected car technology, users can quickly and easily book and unlock a wide variety of vehicles directly from our app, without ever having to meet anyone in person, carry an access card, wait in line, or coordinate picking up keys.To reach our vision of a world where all cars are shared, we need a strong team to help us disrupt car ownership.

We look for people who are curious, positive, and engaged; who can adapt and learn quickly; who have the skills and smarts to reach their goals autonomously, while having the generosity and mindset to work collaboratively.

No matter your role, background, or level of experience, we believe that every member of the team can have an impact.We’re extremely proud to be certified one of the “Best Workplaces” in 2023 !

The opportunity:

  • As a data analyst, you will work closely with product managers and business stakeholders to drive the growth of our European business unit.

    Your mission is to analyze marketplace dynamics, optimize liquidity (balancing supply and demand, improving conversion rates, etc.), and help build a comprehensive understanding of our users and growth opportunities.

    Your insights will solve complex problems and directly impact our market and users.
  • You will also design and maintain data tools that support teams across the company, enabling them to make data-driven decisions.
  • You’ll be part of an international data team of 20, reporting directly to Isaure, Head of Data Analytics focused on Growth Analytics.
  • To learn more about our data culture, check out our VP of Data & BI's podcast with DataGen.
  • What you'll do:

  • Example of projects you will work on :
  • Serve as the analyst for strategic initiatives by helping to define and track the performance of new business lines.
  • Deliver advanced analysis and develop data tools to support key business initiatives, such as revenue guarantee programs for car owners.
  • Create frameworks to analyze the balance between supply and demand in our marketplace, providing actionable recommendations for geo-targeted business opportunities.
  • Building cross-functional analytics initiatives end to end:
  • Collaborate with engineers to make sure we structure, collect and process data in an accurate and timely manner.

  • You'll own your processing pipelines (SQL) and be responsible for tests and documentation.
  • Conduct exploratory analysis: partner with relevant stakeholders to frame the business problem, deep dive into data to uncover insights, and discuss how to action them
  • Share your recommendations to cross-functional stakeholders, using meaningful reports and visualizations.
  • Design KPIs and monitor their performance towards our objectives.Empower the team by building ground truth data sets and evangelizing data tools to your stakeholders.
  • Our stack:

  • Snowflake data warehouse, ELT managed with Airflow and dbt, our own Segment-like integrations, BI/visualization tools such as Tableau and Metabase, Python notebooks in Hex.
  • What you'll bring:

  • 3 to 5 years experience in Data/BI roles in a tech environment.
  • Background in quantitative fields eg Maths, Statistics, Engineering or Business with very strong analytical skills and a willingness to learn more technical skills.
  • A strong interest in understanding and improving business performance: you are eager to analyze both external market trends and internal data to assess business drivers, identify opportunities, and provide actionable recommendations that influence strategy and growth.

  • Strong ability to turn complex data into actionable insights in a fast-paced environment
  • Strong experience with writing SQL queries, joining large datasets from multiple sources.

  • Experience with Python or other data-oriented programming languages is a strong plus.
  • Attention to detail : you like to understand the fine technicalities of things, and build reliable and resilient data models.
  • Communication : you’re excellent at summarizing any problem and explaining the big picture, both in written and verbal form.

    You share information proactively.
  • Fluency in English : you can work in English on a daily basis.
  • Would be a strong plus:
  • A prior experience with marketplaces or marketing analytics.
  • Environmental awareness/interest in mobility : interest in car ownership environmental impact and/or mobility is a strong plus.
  • 👉 If your profile doesn't check all of the above yet, you can still apply, and we’ll let you know if we think this position can be a good fit for you
  • Why join us:

  • 🌎 Getaround Europe is a fast-growing startup located in the center of Paris and an office in Oslo.

    We offer one of the most dynamic and diverse company cultures in town, and give every employee the opportunity to grow and the power to define their impact at Getaround.
  • 🌱 The opportunity to have a positive impact on climate change.

    Cars are responsible for 17% of carbon emissions.

    In France, an independent study has shown that each connected car shared on Getaround replaces more than 5 self-owned cars.
  • 🧠 A place to learn and grow with weekly 1 on 1 meetings with your manager, frequent 360° feedback from your teammates, personal objectives to develop your potential, unlimited access to Udemy (learning platform), optional annual training, plus a team wiki that you’ll contribute to improve
  • 💰 Competitive salary based on your level of experience
  • 🌐 An international team and company: our product is live in the US, France, Norway, Germany, Spain, Belgium and Austria.
  • 🏡 A remote friendly policy: this position is based in our Paris office with up to 3 days of remote work per week.
  • 📝 A monthly subsidy to cover part of your work-related expenses at home
  • 🤝 Getaround is committed to equal opportunity.

    We value and embrace diversity, equity and inclusion of all our Getarounders
  • 🗓 Unlimited 30% vouchers for your Getaround bookings
  • 💫 Health insurance
  • 🍽 A Swile lunch card
  • 💻 Apple equipment
  • Required Skill Profession

    Computer Occupations


    • Job Details

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    Unlock Your Data Analyst Potential: Insight & Career Growth Guide


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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Getaround adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying France laws and regulations

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    The average salary range for a varies, but the pay scale is rated "Standard" in Paris. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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    Key qualifications for Data Analyst typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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    Interview Tips for Data Analyst Job Success

    Getaround interview tips for Data Analyst

    Here are some tips to help you prepare for and ace your Data Analyst job interview:

    Before the Interview:

    Research: Learn about the Getaround's mission, values, products, and the specific job requirements and get further information about

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    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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    Be Punctual: Arrive on time to demonstrate professionalism and respect.

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    Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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    Follow Up: Send a thank-you email to the interviewer within 24 hours.

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    Be Honest: Don't exaggerate your skills or experience.

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