This is not a traditional Controller position. You will play a key role in building and improving our FP&A data and systems landscape, turning complex transactional data into scalable reporting and actionable insights. Your focus is on data models, system logic, and process automation, not manual reporting.

What you will do 

• Develop and enhance our FP&A reporting stack, including tools such as Looker, AI-based apps and underlying data sources
• Translate business questions into robust dashboards and self-service analytics
• Continuously improve our planning process by maintaining and further developing data models and process flows in our enterprise planning solution “Pigment”
• Bridge and reconcile data across systems such as Microsoft Dynamics, Pigment and Looker
• Reduce reliance on Excel by building structured, reliable reporting layers
• Act as a key interface between Finance, Data, and Engineering teams 

This job might be for you if you bring:

• 2–5 years of experience in FP&A, Controlling, or Data Analytics
• Strong interest in data, systems, and process improvement
• Hands-on experience with BI tools (ideally Looker)
• Proven ability to work with data models and process automation
• Strong analytical mindset with attention to detail and data quality
• Ability to translate complex data into clear, business-relevant insights

What you will get:  

• Autonomy: We empower you to take ownership, make meaningful decisions, and drive impact without layers of sign-off. 
• Growth: We see your potential as a key asset. At Suitsupply, you’ll have abundant opportunities to learn, grow, and excel in a supportive environment that encourages development at every step.
• Corporate Social Responsibility: Our commitment to sustainability and ethical business is unwavering. We work exclusively with suppliers who uphold the highest standards, in alignment with the International Labour Organization.
• Style: Immerse yourself in a world of beautifully crafted, high-quality products, and enjoy a 40% discount on Suitsupply products.

The role: What's in the Box

Our Marketing Analytics team sits at the heart of HelloFresh Benelux, turning data into the decisions that drive how we grow, retain, and delight our customers. We're looking for a Marketing Analyst to join us on an interim basis, covering a maternity leave. 

Reporting to the Team Lead of Marketing Analytics at Benelux, you'll help our marketing teams understand what's working, what isn't, and where the biggest opportunities lie across customer acquisition, reactivation, and campaign performance. You'll have real influence on strategic decisions made by stakeholders. If you thrive at the intersection of data, business, and storytelling, this role was made for you.

What you’ll do: The Recipe

• Uncover and communicate insights across customer acquisition, reactivation, and campaign performance to help our Marketing teams make smarter, faster decisions
• Translate business questions into structured analyses — partnering closely with cross-functional stakeholders to frame problems clearly and deliver findings that actually move the needle
• Build and maintain dashboards, reports, and AB test frameworks that give our teams ongoing visibility into what's performing and why
• Deep-dive into pricing and discount dynamics to understand their impact on customer behaviour, retention, and profitability — and surface concrete recommendations for improvement
• Present your work to stakeholders of varying seniority, including domain leads, in a clear and compelling way that bridges data and business implications
• Champion analytical best practices within the team by sharing knowledge, contributing to tooling and documentation, and helping grow our collective capabilities

What you’ll bring: The Ingredients

• 3+ years of experience in data analytics or marketing analytics, ideally in a consumer-facing or fast-moving environment (e.g. scale-up, consultancy, or data-driven corporate)
• Strong SQL skills and hands-on experience with Python for data manipulation and analysis
• Proven ability to structure analyses end-to-end — from scoping a business problem to delivering a clear, actionable recommendation
• Experience with data visualisation tools such as Tableau, Looker, or Google Looker Studio, and comfort working with statistical methods like regression modelling or AB testing
• A collaborative, communicative working style — you're comfortable working independently but know how to bring people along, including when working across local and global teams

Above all, we are looking for people who will make HelloFresh better. There are many different ways of developing skills, and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

Commercial information

• This role is offered on a freelance basis; standard employee benefits do not apply.
• All costs and expenses (including travel or commuting) must be included in the proposed hourly rate. Hourly rates should be communicated excluding VAT.
• All contingent workers engaged by HelloFresh must hold valid professional liability insurance that is valid in the Netherlands. If we decide to move forward together and you are not yet insured, you will be required to arrange this insurance before starting the assignment.

What we offer: The Toppings

• Working environment & collaboration: You’ll work in a fast-paced, international environment alongside experienced professionals from diverse backgrounds. We value clear communication, ownership, and initiative, and we encourage you to contribute ideas, challenge the status quo, and help improve how we work together.
• Impact & autonomy: You’ll have the freedom to organize your work independently within agreed scopes and deliverables, while collaborating closely with your key stakeholders. We focus on outcomes rather than hours, and we appreciate proactive professionals who take responsibility for their work.
• Lunch & Office: When working from our Amsterdam office, you’ll join freshly prepared lunches for €3 per day and take part in our open, informal office culture.

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.

We’re on a mission to become the go-to destination for students across Europe to find a trusted home away from home. We make every step of the rental journey simple and seamless, so students can focus on what really matters: studying, exploring, and growing.

With HousingAnywhere, Kamernet, and Studapart under our roof, we’re Europe’s largest student rental platform.

You’ll find us in Rotterdam, Paris, and Cergy, always guided by our four core values: Ownership, We are enablers, We are changemakers, and We are connectors.

Join us in empowering students unlock their potential through a safe, online, rental experience.

Your role & impact

We are looking for a data-driven professional who's excited to transform business questions into actionable insights that drive decisions. In this role, you’ll collaborate with commercial teams, to influence strategic planning and elevate business performance. You will work alongside talented and driven data peers in a dynamic environment to create real impact in HousingAnywhere's growth. 

The purpose of this role is to empower commercial teams with insights and recommendations to grow our marketplace and get the most out of our team:

• Collaborate closely with the commercial teams to translate business questions into analyses, synthesise insights and develop recommendations to drive business results.
• Define, develop and monitor the key metrics to measure operational performance and business outcomes, and identify drivers for changes in these metrics.
• Ensure business questions are addressed in the most effective format (ad-hoc deep-dive, recurring analysis, dashboards, self-serving functional tools).
• Empower stakeholders to independently leverage data for business insights via dashboards and self-serving tools, in close collaboration with the Analytics Engineering and Business Intelligence teams. 
• Develop dashboards and reports that support operational business processes.
• Support commercial teams' OKR planning and measurement.
• Identify and implement opportunities to enhance existing analytical processes and methodologies.

Your team
Our Commercial Analytics and Business Intelligence team is formed by 4 analysts from diverse backgrounds and experience levels. We collaborate closely with data engineers, analytics engineers, and data scientists to extract insights and drive informed decision-making.

Your profile
Required: 

• 4+ years experience as a Data Analyst, or equivalent role with a strong data/analytics component. 
• Analytical mindset, combined with good business sense and orientation.
• A good communicator who can present insights and recommendations clearly and persuasively to different audiences.
• Self-starter with strong project and time management skills.
• Proficient in SQL and Google Sheets, and experience with at least one dashboarding tool (Tableau, Looker, PowerBI, etc.).

Preferred: 

• Advanced knowledge of at least one statistical programming language (Python, R, etc.) is a plus.
• Previous experience in a high-growth, fast-paced tech company is a big plus.
• Experience creating interactive dashboards in Tableau.

What’s in it for you 

• Unlimited paid holidays, minimum-based not maximum!
• Hybrid working policy with 2 days working from the office.
• Flexibility to work remotely for up to 2 months per year!
• 1,000 EUR personal development budget.
• Complete coverage for commuting.
• 30% ruling application assistance. 
• Personal equipment, including laptop and ergonomic setup.
• Gym membership discount with GoVital or OneFit.
• Dutch/English classes budget.
• Variable pension scheme.
• Diverse international community (46+ nationalities).
• Pet-friendly office in Rotterdam city centre. 
• Fun team-building and after-work drinks every Friday.

What can you expect from our hiring process? Read more here.

With thousands of active lots every day, hundreds of thousands of daily bids, millions of users, and billions of events, the Catawiki platform generates vast amounts of data. We collect and store this data, and use it extensively to build a better company by making smarter decisions. The Data Science & Insights team plays a central role in that.

We are looking for a Data Scientist - Commercial Insights to work with our Commercial teams (primarily marketing and supply) and leverage data to identify commercial opportunities from understanding the marketplace balance of the platform to scaling the demand/offering in a given category.

You will be part of the Data Science & Insights team helping us make sense of our data, finding actionable insights and creating self-service opportunities by combining data from multiple sources and working closely together with your colleagues in other departments.

In this role, no two days will be the same: you will build ad hoc analyses, design and analyse commercial activations, uncover trends in user behaviour, communicate about the impact of a new initiative or enhance the reliability of our data pipelines. Whatever the task, you’ll play a pivotal role in shaping Catawiki’s commercial strategy and influencing our stakeholders.

What You’ll Do 

• Own analytics for a commercial area – At Catawiki, you’ll take full ownership of a major part of the commercial strategy. This could mean leading analytics for all demand scaling initiatives in marketing or everything related to increasing supply in a given category. You’ll build strong partnerships with stakeholders and proactively come up with recommendations to drive revenue growth.
• Turn data into insights and recommendations – You’ll go beyond tracking metrics—you’ll define and refine key success measures, uncover trends, and translate data into clear recommendations. Your insights will help shape commercial decisions, flag opportunities, and drive the strategy forward.
• Drive advanced analytics at scale – You’ll use methods like regression analysis, causal inference, and scenario testing to understand buyer and seller needs and help commercial teams make faster, better decisions to scale demand and supply.

Who You Are

• Commercially minded data leader – You have a strong quantitative background and 3+ years of experience in Data Science or Analytics, ideally in an online company. You’re comfortable owning complex projects and influencing stakeholders with clear, pragmatic recommendations focused on commercial impact and value.
• Advanced technical skills – You're highly proficient in SQL and experienced in writing code to transform data into insights, whether in Python, R, or another language. You can handle large datasets, optimize data pipelines, and work with tools like Looker Studio, Tableau, Power BI, and data transformation tools like dbt or Dataform.
• Deep statistical expertise – You have a strong grasp of statistics and apply advanced techniques like regression analysis, causal inference, time series modeling, and hypothesis testing to extract meaningful insights and drive impact.
• Proactive and entrepreneurial mindset – You take ownership, solve problems autonomously, and drive initiatives forward—even when it means stepping outside your comfort zone.
• Strong communicator and mentor – You work effectively with leadership, engineers, and product teams, translating complex data insights into clear recommendations. You also enjoy mentoring junior data scientists and fostering a data-driven culture.

Where You’ll Be 

This role is a hybrid role based in our Amsterdam or Lisbon office.

Your Mission

As Marketing Analyst, you act as the analytical backbone of our market strategy across European markets. You identify where growth will come from, why it happens, and how marketing investment should be allocated to capture it. Sitting at the intersection of Marketing and Insights, you turn market data into clear recommendations that shape prioritisation, budget allocation, and growth plans.

What You’ll Do

• Analyse market performance across traffic, conversion, LTV, CPA and GMV to identify drivers of growth and decline
• Identify market opportunities using demand and supply signals, category strengths, cultural trends and buyer behaviour
• Size market opportunities and support market prioritisation using TAM and SAM thinking
• Recommend and optimise budget allocation across markets based on ROI, opportunity and predicted impact
• Design and evaluate geo-based experiments, including splits, holdouts and lift studies, and translate results into clear actions
• Develop and refine market-level measurement frameworks and attribution approaches in collaboration with Data and Insights
• Provide market insights that inform GEO strategies, targets, planning cycles and cross-functional decision making

What You’ll Bring

• 4 to 7 years of experience in marketing analytics, growth analytics or market intelligence, working with large datasets to generate actionable insights
• Hands-on experience with incrementality testing, attribution logic and performance diagnostics, including test design and metric definition
• Strong SQL skills and experience with BI tools such as Looker, Tableau or Power BI
• Ability to work with data teams on models and pipelines, Python or R is a plus
• Commercial mindset with a focus on analyses that drive decisions and improve LTV and CPA efficiency
• Clear communication skills and confidence partnering with marketing, category, finance and data stakeholders
• Structured and pragmatic approach, with experience in marketplaces, e-commerce or multi-country environments as a plus

How We Work

• We operate within a GEO working model, partnering closely across Marketing, Category, Finance and Data to ground decisions in robust analysis
• You'll align closely with the Director of Performance and Category Marketing to shape priorities and planning
• You'll be part of our Insights and MI chapter, where we share tooling, standards and analytical coaching

Where You’ll Be

This is a hybrid role based in Amsterdam. You will work from our Amsterdam HQ a minimum of 2 days per week.