Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

We are 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 will turn raw product data into clear insights, design experiments that guide the roadmap, and build dashboards that help our teams move faster and smarter. You will partner directly with Product Managers, Engineers, and Business stakeholders to answer the questions that matter. This is not a reporting role; we seek someone curious, business-minded, and ready to take ownership of the analytics function.

Responsibilities

• Turn product data into clear business insights by conducting end-to-end product analyses to understand user behaviour, feature adoption, and business performance.
• Proactively surface insights to Product and Business teams.
• Document key metrics, data sources, and analytical frameworks to build shared understanding.
• Design and analyse A/B tests to guide decisions, owning 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.
• Build reliable dashboards and partner with product teams by designing and maintaining 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.

Requirements

• 3+ years of professional experience as a Data Analyst.
• Hands-on experience in product analytics and A/B testing, including designing and interpreting experiments in a real product context.
• Strong SQL skills.
• Comfortable with Metabase or an equivalent BI tool.
• Business and product acumen; ability to connect data to decisions.
• Strong team spirit, collaboration, clear communication, and ability to improve teammates.
• Experience with Amplitude (nice-to-have).
• Background in SaaS, marketplace, fintech, or restaurant-tech (nice-to-have).
• Experience with data modelling, measurement frameworks, or Tracking-as-Code (nice-to-have).
• Strong data storytelling and visualisation skills (nice-to-have).

Skills

• SQL
• Metabase
• Amplitude
• Data Storytelling
• Data Visualisation
• Product Analytics
• A/B Testing
• Data Modelling
• Measurement Frameworks
• Tracking-as-Code

Location

• Paris

Work Type

• Hybrid
• In-person
• Remote

Experience Level

• 3+ years of professional experience

Salary/Compensations

• Competitive salary + Stock Options

Benefits

• Stock Options
• Great office in the heart of Paris (10th arrondissement)
• 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

About the Company

• 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.

Equal Opportunity

• 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).