Data Analyst

sunday; Paris; Hybride; EUR 55 000 - 75 000; Plein temps

Avantages offerts par ce poste

Stock options

Hybrid work in Paris

Vacation policy

Health insurance (family)

Ticket Restaurant

Public transport subsidy

Résumé du poste

sunday is seeking a Data Analyst to join our Paris Data team. You will turn raw product data into actionable insights, design experiments to guide the roadmap, and build dashboards to help teams move faster and smarter. You will partner with Product Managers, Engineers, and business stakeholders to answer critical questions that matter.

This is not a reporting role; you will own analytics, be curious and business-minded, and take ownership of the analytics function as we grow in Paris.

Qualifications

• 3+ years of professional experience as a Data Analyst.
• Hands-on experience in product analytics and A/B testing.
• Strong SQL skills; comfortable with Metabase or an equivalent BI tool.
• Business and product acumen — you care about outcomes, not just outputs, and can connect data to decisions.
• Strong team spirit — you collaborate naturally, communicate clearly, and make your teammates better.

Responsabilités

• Turn product data into clear business insights.
• Conduct end-to-end product analyses to understand user behaviour, feature adoption, and business performance.
• Proactively surface insights to Product and Business teams before they're asked.
• Document key metrics, data sources, and analytical frameworks to build shared understanding.
• Own the full experimentation lifecycle: hypothesis, design, tracking, analysis, and recommendation.
• Ensure statistical rigour and clear communication of results to non-technical stakeholders.
• Help build sunday's experimentation culture and best practices.
• Design and maintain dashboards in Metabase (and Amplitude) that teams actually use.
• Ensure 90%+ on-time delivery and data reliability.
• Act as a trusted analytical partner to Product and Business teams — embedded in their decision-making processes.

Connaissances

SQL

A/B testing

Product analytics

Data visualization

Business acumen

Communication

Outils

Metabase

Amplitude

Description du poste

About Us

sunday is building the fastest, simplest way to pay in restaurants. With a quick scan of a QR code, diners can pay, tip, and leave in about 10 seconds. We believe great products should feel obvious, not complicated, and we focus relentlessly on keeping things simple while earning trust from restaurants and guests at every interaction. Today, sunday powers payments in thousands of restaurants across the US, UK, and France, helping operators turn tables faster, increase tips, and unlock valuable insights. We push ourselves to go beyond what's expected, building with ownership, moving fast, and scaling with ambition as we tackle our biggest growth opportunity in the US.

About The Role

We're looking for a Data Analyst to join our Data team in Paris. This is a high-impact, hands-on role at the intersection of product, business, and data.

You'll be the person who turns raw product data into clear insights, designs experiments that guide the roadmap, and builds the dashboards that help our teams move faster and smarter. You'll partner directly with Product Managers, Engineers, and Business stakeholders to answer the questions that matter.

This is not a reporting role. We're looking for someone who is curious, business-minded, and ready to take ownership of the analytics function.

Join early, grow fast, and shape the journey!

Key Responsibilities

• Turn product data into clear business insights
• Conduct end-to-end product analyses to understand user behaviour, feature adoption, and business performance
• Proactively surface insights to Product and Business teams before they're asked
• Document key metrics, data sources, and analytical frameworks to build shared understanding
• Own the full experimentation lifecycle: hypothesis, design, tracking, analysis, and recommendation
• Ensure statistical rigour and clear communication of results to non-technical stakeholders
• Help build sunday's experimentation culture and best practices
• Design and maintain dashboards in Metabase (and Amplitude) that teams actually use
• Ensure 90%+ on-time delivery and data reliability
• Act as a trusted analytical partner to Product and Business teams — embedded in their decision-making processes

About You

• 3+ years of professional experience as a Data Analyst
• Hands-on experience in product analytics and A/B testing — you've designed and interpreted experiments in a real product context
• Strong SQL skills; comfortable with Metabase or an equivalent BI tool
• Business and product acumen — you care about outcomes, not just outputs, and can connect data to decisions
• Strong team spirit — you collaborate naturally, communicate clearly, and make your teammates better

Nice-to-haves

• Experience with Amplitude
• Background in SaaS, marketplace, fintech, or restaurant-tech
• Experience with data modelling, measurement frameworks, or Tracking-as-Code
• Strong data storytelling and visualisation skills

What We Offer

• A competitive salary + Stock Options
• A great office in the heart of Paris (10th arrondissement) with a balance of in-person and remote work
• Free Vacation Policy
• 100% Employer-Covered Health Insurance for you and your children
• Ticket Restaurant
• 50% of your public transportation covered

Steps in our Recruitment Process

• Share your story: application with resume
• Let's get to know each other through a phone screen interview
• Meet with the hiring manager
• Impress your future colleagues with a case study
• Meet with a Leader
• Reference Checks (3 most recent managers)
• Offer: we want you

Thank you for taking the time to apply, and looking forward to getting to know you!

sunday is an equal opportunity employer and does not discriminate and all qualified applicants will receive consideration for employment without regard to race, creed, color, sex, affectional or sexual orientation, gender identity or expression, gender, ethnicity, religion, national origin, ancestry, nationality, age, disability, marital status, veteran status, genetic information, or on any other basis prohibited by law (except where an attribute is a bona fide occupational qualification).