Digital Analyst

At Sunweb Group
, we believe data should do more than explain what happened. It should help us understand what is happening, why it matters, and where we can make our customers' holiday experience even better.

As our Digital Analyst
, you will play a key role in turning complex digital data into clear insights and actionable recommendations. Working across our brands and markets, you will help our commercial, marketing, product and technology teams understand customer behaviour, identify conversion opportunities and make better-informed decisions.

This role combines strong technical analytical skills with business understanding.

You are comfortable diving into raw data and working with tools such as SQL, Big Query, Google Analytics 4, Experience in Databricks, Python & DBT is a plus. but you are equally confident translating your findings into clear recommendations for business stakeholders.

Your analyses won't simply disappear into reports. You'll proactively identify opportunities, quantify their impact and help Market Leads, Product Owners and other stakeholders decide where action is needed.

Location: Rotterdam (Hybrid - 50% in office)

Start Date: as soon as possible

Availability: Fulltime

Team: Digital Analytics

As Digital Analyst, your mission is to make visible where value is created, where it is lost and which opportunities can have the greatest commercial impact.

You will combine analytical depth with commercial curiosity to understand what's happening across our digital customer journey. You'll uncover trends and conversion patterns, investigate performance changes and translate complex data into insights that stakeholders can act on.

You will work across Sunweb Group's brands and markets
, primarily supporting Market Leads and Product Owners with the insights they need to understand performance, identify opportunities and make informed decisions.

You will continuously analyse our digital performance and customer behaviour to identify trends, opportunities and bottlenecks.

You will:

• Analyse digital customer behaviour and conversion trends across our brands and markets.

• Work with raw digital data, including data from Google Analytics 4 (GA4), within our data warehouse and Databricks environment.

• Use SQL and/or Python to explore large datasets and turn complex data into meaningful insights.

• Monitor conversion rates, CPA, revenue and margin performance across channels and markets.

• Identify deviations and emerging trends before they become larger business issues.

• Analyse drop-off points throughout the booking funnel by market, destination, channel and device.

• Quantify the revenue and margin impact of conversion bottlenecks and opportunities.

• Distinguish channel effects from mix effects to ensure performance changes are interpreted correctly.

• Monitor tracking quality and data reliability, highlighting issues before unreliable data influences decision-making.

Data only creates value when it leads to better decisions. That's where you come in.

You will:

• Translate technical analyses into clear, practical recommendations for business stakeholders.

• Turn signals and trends into hypotheses, impact estimates and optimisation opportunities.

• Support Market Leads and Product Owners in understanding performance and identifying where action is needed.

• Provide clear recommendations to Product, Technology, Commercial and Marketing teams.

• Define success metrics and measurement frameworks for improvement initiatives.

• Design and evaluate A/B tests, including hypotheses, statistical validity, duration and success criteria.

• Support commercial prioritisation by identifying which destinations, products or customer segments deserve greater focus based on profitability, load factors and strategic objectives.

• Measure the business impact of implemented recommendations.

You will help us become more proactive and efficient in how we generate and use insights.

You will:

• Automate recurring analyses and reporting flows, creating more time for deeper and more strategic analysis.

• Use AI-supported analytics to accelerate insight generation and identify relevant patterns. You will help improve the data foundation for AI tooling.

• Critically review automated and AI-generated insights for accuracy, reliability and business relevance
  .

• Validate, challenge and, where necessary, correct AI-generated insights…