
Emma – The Sleep Company · Frankfurt
Ready to lead, disrupt and reinvent the sleep industry? We are Emma – The Sleep Company. Founded in 2015, we have grown into the world’s largest direct-to-consu...
Ready to lead, disrupt and reinvent the sleep industry?
We are Emma – The Sleep Company. Founded in 2015, we have grown into the world’s largest direct-to-consumer (D2C) sleep brand, with a presence in over 20 markets and more than 35 Emma stores across Europe.
Our mission is simple: to develop sleep comfort products that empower our customers to awaken their best every day. Today, our products are trusted by millions and recommended by leading consumer associations worldwide.
It’s our people who bring this mission to life. At Emma, you’ll join a driven, international team that values ownership, collaboration, and continuous knowledge sharing. With colleagues from over 70 nationalities, we combine diverse perspectives with a shared ambition to learn, grow, and create lasting impact, together.
Ready to awaken your best with us?
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe’s largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay’s Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM • ~110 people, more than half in engineering, product and data • 45+ advanced degrees across computer science, mathematics and operations research • Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle • An intellectually vibrant culture of first‑principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's network is scaling fast. The decisions that shape that growth, where to expand, how to price, where to invest, are made by a finance team that runs on data: driver-level metrics, profitability models, pricing structures, and operational KPIs. This role exists to own the analytics layer that powers those decisions. As a Senior Data Analyst in the finance squad, you are responsible for how finance sees the business. You own the dashboards and reporting that give visibility into the metrics that matter: cost per parcel, expansion profitability, client and cohort performance, pricing dynamics, and the drivers underneath them. You translate raw operational data into views that finance can use to forecast, model, and act. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists, with analysts embedded into squads across the business. You will sit in the finance squad, but report into the centralised data team. You will work closely with the Senior Data Scientist in the squad, building the reporting and visibility layer on top of their simulation models. You will also work across squads, pulling the metrics they commit to the semantic layer and shaping them into the views finance needs. Who Will Thrive in This Role? * You take ownership of your domain. You don't wait to be told what finance needs or when something is broken. You're proactive about understanding the questions they're trying to answer and making sure the data is there to answer them. * You're an excellent data analyst who builds clean, reliable reporting that people actually use. You care about data quality, clarity, and making complex metrics understandable. * You're fluent in SQL and experienced with dbt. You can build and maintain well-structured models, not just write queries. * You're comfortable with BI tools and visualisation platforms. You know how to design dashboards that surface the right information without clutter. * You have at least 5 years of experience, ideally with some exposure to finance, FP&A, or commercial analytics. You understand how finance teams think about metrics and drivers. * You communicate clearly with non-technical partners. Finance will rely on your reporting to make decisions. You need to explain what it shows, where the data comes from, and where the limitations are. * You're comfortable working across teams. You'll pull metrics from squads across the business, which means building relationships and understanding how different parts of Relay operate. FAST AND FOCUSED HIRING PROCESS 1. Talent Acquisition Interview - 30 min 2. Technical SQL Interview - 1 hours 3. Hiring Manager Interview - 45 min 4. Case Study - 1 hour 5. Values & Impact Interview - 45 min 6. Decision and offer within 48 hours. Our process mirrors our pace of work. Compensation, Benefits & Workplace * Generous equity, richer than 99% of European startups, with annual top-ups to share Relay’s success. * Private health & dental coverage, so comprehensive you’d need to be a partner at a Magic Circle law firm to match it. * 25 days of holidays * Enhanced parental leave. * Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. * Hardware of your choice. * Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? * Aim with Precision: You define problems clearly and measure your impact meticulously. * Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. * 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. * All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. * People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. * Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let’s connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
TASKS * Identify, analyze and interpret patterns and trends in complex data sets to support strategic business decisions * Work closely with our Sales & Finance department and our data teams (Data Engineering, Data Science and Web Analytics) to shape Visable into a truly data-driven company * Design, build and maintain trusted data models using dbt, contributing to our single source of truth * Collaborate on data modeling, metric definitions and data quality initiatives to ensure reliable and scalable reporting * Replace manual reporting processes with automated, cloud-based data solutions and reusable analytics assets * Develop scalable dashboards, self-service reporting solutions and KPI frameworks using Tableau or similar BI tools * Proactively identify opportunities, generate actionable business insights and communicate recommendations to stakeholders across the organization * Act as a trusted analytics partner, supporting business teams with data-driven decision making and enabling power users through documentation and knowledge sharing * Evaluate and leverage AI-powered analytics capabilities, including LLM-based tools and modern analytics workflows, to improve efficiency and create business value * Contribute to improving our analytics practices, governance and development standards COUNTRY Deutschland RECRUITER Zimmermann BENEFITS * The opportunity to actively shape the future of the online B2B business and build an European champion * You can expect an established traditional company with the advantages of a dynamic start-up culture: flat hierarchies, relaxed, informal atmosphere and a great team spirit * An agile and supportive environment where success is always a team effort * Benefit from our fitness cooperation with Urban Sports Club and train flexibly in over 7,500 studios across Germany * Optimal work-life balance with 30 vacation days (plus Christmas Eve & New Year's Eve) and flexible working hours * We believe in the best of both worlds: flexibility and collaboration. Thus, you'll enjoy the benefits of working from home while also experiencing the team spirit in our offices (approx. 50%) * We promote your professional and personal skills with individual training opportunities (e.g. Visable Online-Academy & Trainings), regular feedback discussions and team-building measures * Take advantage of our “Workation” offer and work where others spend their holiday PROFILE * Degree in Mathematics, Statistics, Computer Science, Business Analytics or a related field * Several years of experience as a Data Analyst, ideally within Sales, Finance or Commercial Analytics * Strong SQL skills and experience working with large-scale analytical databases and dimensional data models (Star/Snowflake schema) * Hands-on experience with dbt for data transformation, testing, documentation and version-controlled analytics development * Experience with modern cloud data platforms (e.g. BigQuery, Snowflake, Redshift or Databricks) is highly desirable * Experience using Tableau or similar BI and visualization tools to build scalable reporting solutions * Good understanding of data modeling, data quality and analytics engineering best practices * Experience working with Git and collaborative development workflows. * Python or R experience for analysis and automation is a plus * Interest in AI-powered analytics, LLM applications or AI-enabled data products, with a willingness to explore and adopt emerging technologies * Strong analytical thinking, curiosity and the ability to translate business questions into scalable analytical solutions * Excellent communication skills with the ability to explain complex analytical concepts to technical and non-technical stakeholders * Proactive, collaborative and solution-oriented mindset with a passion for continuous learning * Business fluency in English is required We live and love diversity! That's why we signed the „Diversity Charter“ to promote equal opportunities and diversity in all its components. By signing the Diversity Charter we guarantee that all qualified applicants are considered for employment without regard to age, ethnicity, religion, sexual orientation gender identity or physical abilities. A culture of respectful interaction is deeply rooted in our corporate values and therefore we want every employee to feel included, accepted and valued. With over 50 different nationalities and more than 20 spoken languages among Visable’s workforce, we can already be proud of being a culturally varied and truly international company.
🧡 ABOUT ALMA At Alma, we believe sustainable commerce depends on fair, well‑balanced trade. Because finance plays a pivotal role in business, our mission is to put it back in its rightful place - serving merchants and consumers. Our installment and deferred payment solutions help merchants boost sales by 20% or more, increase customer loyalty, and deliver a seamless shopping experience - without encouraging bad debt. As the buy now pay later leader in France and active in 10 European countries, we've empowered over +25,000 merchants and 10 million consumers. With 380+ Almakers and €100M+ ARR, Alma is scaling rapidly across Europe as a member of the Next40, and we're just getting started! 👐 ABOUT THE TEAM The mission of our Operations team is to provide the best customer support experience to our users (consumers and merchants) and to scale efficiently the daily operations of our business leveraging automation, AI and data. This ops team has 2 data analyst - business and the full data team is more than 15 data experts. You will hold a cross-functional role that bridges our team with the rest of the organisation, particularly with the data, product, and engineering teams. This position is a permanent position (CDI) based in Paris. 💼 ABOUT THE JOB * Build, improve, and maintain data and dashboards that will empower our teams to monitor their key performance indicators, make data-driven business decisions, and drive accountability. * Support our team members on their day-to-day data requests ****to ensure our operations run like a well-oiled machine. * Train our team members on understanding our data and data tools. * Deep dive into data to frame business problems and gather actionable insights and data-driven solutions, notably to our tech team. * Drive a data culture in the team with documentation and best practices, and work closely with our Central Data teams to improve data quality across the board. 🧰 YOU WILL WORK WITH SQL, Python, Looker, Tableau 🧩 ABOUT YOU To succeed in this job * You're comfortable with data visualisation tools (Looker, Tableau...) and languages, with solid SQL skills and ideally some Python experience * You communicate complex findings clearly, both in writing and in conversation, for technical and non-technical audiences alike * You're minimum 3 years as a data analyst * You're at ease defining and working with metrics to drive business decisions And it will be nice if you also * Are autonomous, thorough, and detail-oriented * Communicate with confidence and know how to challenge and convince your stakeholders * Love investigating issues and digging into root causes to find the right solutions * Put yourself in your users' shoes and come up with creative ideas to improve their experience * Have an entrepreneurial mindset, take ownership, and aren't afraid to get your hands dirty Don't meet every single requirement? At Alma, we believe great hires come from diverse paths. If this role excites you, we encourage you to apply. We value potential, curiosity and the ability to grow as much as experience. 🧘 WHAT’S IN IT FOR YOU If you join, you will be able to grow and impact on: * The Operations team's performance, by building the dashboards and insights that help a whole team monitor what matters, make faster decisions, and scale with confidence * Alma's data culture, by creating training, documentation, and best practices that raise the data literacy of an entire team, with direct collaboration with the central Data org * Your own growth, in a cross-functional role that sits at the intersection of Operations, Product, Data, and Engineering, giving you both business depth and technical breadth 🤑 COMPENSATION & BENEFITS * Competitive salary based on 12 months * Profit-sharing and employee savings plan * Health insurance: 100% covered by Alma including family package * Disability insurance: 100% covered by Alma * Sport: partnerships with Gymlib and Classpass, or €30/month reimbursement for your sports activities * Maternity/paternity leave: salary maintained at 100% during leave with no seniority requirement. Return to work at 4/5 schedule paid at 100% for 8 weeks. * Sustainable Mobility Package (FMD): €544.80/year (excluding full-remote contracts) * Meal vouchers: €10/day, 50% covered by Alma * Mental health: free access to MindDay platform * Paid time off: 25 days/year ****(+ additional paid leave granted for employees on executive contracts) * Access to our Learning & Development Platform * 2 weeks of full remote possible per year in summer 🎯 INTERVIEW PROCESS * Video call with a Talent Acquisition team member to understand your path, motivation & present you the role. * Video call with your future manager to deep dive the role, the team, your profile and answer all your questions. * Case study presentation with 2 - 3 team members (ideally in house) to assess your practical knowledge**.** * 1 or 2 additional interviews customized to the role's level to further assess your skills and team fit. 🌍 DIVERSITY & INCLUSION At Alma, we believe that diversity fuels innovation and makes our community stronger. We are committed to building a workplace where every person feels seen, respected, and empowered to do their best work whatever their gender, background, ethnicity, age, sexual orientation, religion, disability or lived experience. As an equal opportunity employer, we welcome applicants from all walks of life, and all employment decisions are made based on qualifications, merit, and business needs.