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10 000+

Manager jobs in United States

Data Analyst

Staycation

Paris
Hybrid
EUR 45,000 - 65,000
Yesterday
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Chef de chantier logistique et manutention F/H

L'Usine Nouvelle

Chooz
On-site
EUR 45,000 - 65,000
Yesterday
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Commercial Débutant H/F

MARVESTING

Bron
On-site
EUR 40,000 - 60,000
Yesterday
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Assistante Administration du personnel - stage (H / F)

Jeff de Bruges

Ferrières-en-Brie
On-site
EUR 20,000 - 40,000
Yesterday
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RESPONSABLE BUREAU D ETUDES H/F

H2H Performance

Avignon
On-site
EUR 62,000 - 65,000
Yesterday
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Gestionnaire sinistres prévoyance GMF F / H - CDD (CDD)

GMF

Strasbourg
On-site
EUR 30,000 - 35,000
Yesterday
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Chef de Projets Clinique Senior (H/F) - Coordination France & Filiale SGS CTI (Roumanie) - CDD [...]

SGS

Martillac
Hybrid
EUR 45,000 - 60,000
Yesterday
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Développeur Java API

Startup Talents

Paris
Hybrid
EUR 45,000 - 60,000
Yesterday
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Web Proxy H / F

Huxley

Vanves
Hybrid
EUR 60,000 - 85,000
Yesterday
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STAGE -Juriste en gestion des litiges F/H (Stage)

MMA

Paris
On-site
EUR 35,000 - 45,000
Yesterday
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Stagiaire Assistant Administratif RH longue durée (H/F)

XEFI

Crépieux-la-Pape
On-site
EUR 40,000 - 60,000
Yesterday
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Sales Development Representative - Fluent Spanish or German

Alma

Paris
On-site
EUR 20,000 - 40,000
Yesterday
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CHARGE DE DEVELOPPEMENT COMMERCIAL F/H

Cdiscount

Bordeaux
Hybrid
EUR 40,000 - 60,000
Yesterday
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Quality Software / Test Manager F/H

Mobilize Financial Services

Noisy-le-Grand
On-site
EUR 50,000 - 70,000
Yesterday
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CDI - Chargé(e) d'Exploitation Polyvalent(e) PC Transport F/H/X

KEOLIS limited

Villeurbanne
On-site
EUR 40,000 - 60,000
Yesterday
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Robotics deployment project coordinator / Coordinateur rice Projets Déploiement Robotique (H/F)

GE Vernova

Aix-les-Bains
On-site
EUR 75,000 - 90,000
Yesterday
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DISTRICT MANAGER - Rhone Alpes France - H/F

Aubade Paris

Annecy
Hybrid
EUR 45,000 - 60,000
Yesterday
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Commercial Débutant H/F

MARVESTING

Bourgoin-Jallieu
On-site
EUR 40,000 - 60,000
Yesterday
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IMA GIE - Chargé de reporting expert H/F

Groupe IMA

Marlenheim
On-site
EUR 45,000 - 65,000
Yesterday
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Responsable d'agence H / F

Supplay - Interim et Recrutement

Paris
On-site
EUR 35,000 - 50,000
Yesterday
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Planificateur engineering

ALSTOM Gruppe

La Rochelle
On-site
EUR 40,000 - 50,000
Yesterday
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Pre-Sales Manager - France H/F

Padam Mobility

Paris
Hybrid
EUR 45,000 - 60,000
Yesterday
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Operations Data Analytics & Performance - Intern M H/F

HelloFresh

Paris
On-site
EUR 40,000 - 60,000
Yesterday
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Stagiaire R&D Chargé de veille (H/F) - 6 mois Retiers (dept 35)

Groupe Lactalis

Retiers
On-site
EUR 20,000 - 40,000
Yesterday
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Consultant Data - IA - Cloud - Avant-Vente H / F

Hardis Group

Malakoff
Hybrid
EUR 50,000 - 70,000
Yesterday
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Data Analyst
Staycation
Paris
Hybrid
EUR 45,000 - 65,000
Full time
Yesterday
Be an early applicant

Job summary

A modern hospitality company in Paris is seeking a Data Analyst to drive strategic business decisions based on reliable data. The ideal candidate has strong expertise in SQL, experience with modern data tools, and a knack for translating complex data insights for non-technical audiences. You will collaborate with various teams to enhance data quality and governance, playing a pivotal role in delivering impactful analyses and dashboards. This position offers a hybrid work setup, fostering a data-driven culture across the organization.

Qualifications

  • 3 years of experience as a Data Analyst.
  • Familiarity with tools from the Modern Data Stack.
  • Experience with data quality and governance.

Responsibilities

  • Lead and deliver end-to-end data projects aligned with team OKRs.
  • Perform complex analysis to support strategic decision-making.
  • Collaborate with teams to foster a data-driven culture.

Skills

Strong expertise in SQL
Data analysis and statistics
Building advanced dashboards
Understanding business challenges

Tools

DBT
Metabase
Snowflake
Fivetran
Job description
🍿 About Staycation

For most people, hotels are places you only visit when you travel.

But we see something different.

Behind their doors, hotels hide some of the most extraordinary spaces cities have to offer: breathtaking rooftops with skyline views, world-class spas and pools, bars and restaurants led by visionary chefs, interiors that spark the imagination, and beds so perfect you never want to leave them.

Yet, most of these spaces remain invisible to the people who live just a few streets away.

Staycation was born from a simple belief: the most inspiring places in your city shouldn’t be reserved for tourists. They should be part of your everyday life, an alternative to a dinner-date at a restaurant, a spontaneous midweek escape, or a unique way to celebrate a special moment.

Our mission is transform hotels into a new form of urban entertainment.

Places people turn to when they want to feel, connect or recharge. Whether it’s 24 hours, 48 hours, or just a few hours, we’re reinventing the way people experience the cities they call home.

Today, Staycation means:

  • 🌍 4 million users in France, Belgium and Switzerland (soon in the UK and Spain)

  • 🏨 2,000+ partner hotels among the best 4★, 5★ and iconic palaces

  • ⭐️ 9.3/10 average rating for our experiences

Joining Staycation means becoming part of a passionate, creative, and ambitious team on a quest to redefine what hospitality and city life can be.

✨ The Role

As Staycation continues to grow, data has become a central pillar of decision-making across all teams.

We're now looking for a Data Analyst who will ensure that every decision at Staycation is grounded in reliable, well-structured, and actionable data.

You’ll play a central role in helping to structure the data team, leading strategic projects, and working closely with business teams to deliver high-impact insights.

You’ll report directly to Hélène, our Data Lead, and collaborate daily with stakeholders across product, marketing, sales, and leadership.

📍 Key Responsibilities

📈 Drive business impact through delivery:

  • Lead and deliver end-to-end data projects aligned with team OKRs (Growth, Product, Sales, etc.).

  • Perform advanced and complex analysis to support strategic decision-making across the company, including the development of performance dashboards.

🛠️ Contribute to the evolution of our Modern Data Stack:

  • Data modeling: Build and maintain data models in DBT to structure clean, reusable datasets.

  • Data quality & alerting: Ensure data is reliable, accurate, and easily accessible across the organization.

  • Data governance & privacy: Help implement best practices in data governance.

🤝 Collaborate with and support stakeholders:

  • Work closely with teams across the company to foster a data-driven culture, through training and support on Metabase and our self-service data models.

  • Translate complex findings into clear, actionable insights and communicate them clearly to non-technical audiences.

📌 Key Results

In your first 3 months, you’ll be expected to:

  • Be fully onboarded to our data stack (DBT, Metabase, Snowflake, Fivetran…).

  • Developed a solid understanding of the business model, key metrics, and team workflows.

  • Delivered your first impactful analyses and operational dashboards used by business teams.

  • Established strong, trust-based relationships with stakeholders from at least one key team (e.g. Growth, Product, Sales).

  • Contributed to the maintaining or evolving a data model in DBT.

In your first 12 months, you’ll be expected to:

  • Be recognized as a go-to expert on data for multiple teams, proactively involved in strategic discussions.

  • Have led several cross-functional data projects from scoping to delivery, with measurable business impact.

  • Significantly contributed to the evolution of our data models and data quality processes.

  • Played a key role in structuring the team’s methodologies, tooling, or documentation.

  • Helped scale the data culture within Staycation (e.g. through SQL trainings, self-service tools).

  • Be a driving force behind the continuous improvement of our data governance and reliability practices.

🌍Location

This position is based in Paris, 20th district with a hybrid work setup.

🚀 Why Join Us?
  • Be part of a company that's genuinely improving people's everyday lives.

  • Work in an innovative, opportunity-driven product organization.

  • Collaborate closely with engineers and product managers to co-create smart, user-centered solutions.

🎯You’re the ideal candidate if you:

Must-haves

  • Have 3 years of experience as a Data Analyst.

  • Have strong expertise in SQL, especially when it comes to handling complex data transformations.

  • Are familiar with tools from the Modern Data Stack (e.g. Snowflake, DBT, Fivetran…).

  • Have experience building advanced dashboards, ideally using Metabase.

  • Have a strong analytical mindset and solid foundations in data analysis and statistics.

  • Never compromise on data quality and reliability.

  • Quickly understand stakeholders’ business challenges and translate them into actionable insights.

  • Know how to communicate findings to non-technical audiences in a clear and concise way.

  • Proactive in your day-to-day work and eager to contribute to the development of the team and its best practices.

Nice to have

  • You already have experience in a marketplace or scale-up environment

  • Experience with Python and machine learning algorithms (e.g. regression, classification, clustering) is a strong advantage.

  • You’re curious about how AI can enhance data storytelling, automation, and decision-making, and maybe you’ve already played around with it.

⚙️Hiring Process
  • Intro call with Isabella, our People Lead (30 min).

  • Manager interview with Hélène, our Data Lead (60 min).

  • Live Technical Test with Hélène (60 min).

  • Final meetings with Leadership team (60 min) and the team (30 min).

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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