Marketing Data Analyst (all genders)
Berlin
Sunday Natural Products GmbH
Your role
We are looking for an experienced Marketing Data Analyst to join our growing team and play a critical role in optimizing our marketing efforts across all paid channels. You don’t just analyze data - you have a deep understanding of the acquisition funnel and use data to uncover opportunities for growth, efficiency, and higher ROI.If you are passionate about data-driven marketing and love turning insights into business impact, we’d love to hear from you!
- Develop a holistic view of the acquisition funnel, from first touchpoint to conversion, and identify bottlenecks or opportunities for improvement
- Define and implement key performance indicators (KPIs) to measure marketing effectiveness
- Analyze ad platform data (Google Ads, Meta, etc.) and web analytics (GA4) to optimize spend and improve conversion rates
- Provide data-driven recommendations on budget allocation across channels
- Support continuous testing and experimentation, including A/B tests and geo-lift studies
- Work with data engineers and leverage BigQuery to ensure the marketing team has the right data infrastructure in place
- Build dashboards and reports that provide real-time insights to stakeholders
- Collaborate with CRM and influencer marketing teams to align insights across different acquisition and retention efforts
- Leverage Media Mix Modeling and other advanced analytics techniques to assess marketing impact
Your profile
- 3 to 5 years of experience in data analytics with a strong focus on performance marketing and acquisition funnels
- University degree in Information Systems, Business Analytics, Marketing, Data Science, or a related field
- Strong SQL skills and experience working with BigQuery
- Deep understanding of tracking data and ad platform analytics (Google Ads, Meta, etc.)
- Experience with data visualization tools like Tableau, Looker, or Qlik
- Experience with testing methodologies (geo-lift tests, incrementality testing)
- Ability to translate complex data into clear business insights and actionable recommendations
- Strong stakeholder management and the ability to challenge assumptions with data
- Ideally knowledge of forecasting and predictive modeling and skills in Python or R for advanced analytics
What we offer
- An appealing discount on all of our products – from essential oils to vitamins & nutrients
- We offer 28 days of paid time off per year plus up to 5 days off between Christmas and New Year
- The Urban Sports Club membership and either Swapfiets bike rental or a subsidy for the BVG ticket
- A healthy balance is important to us: we offer a hybrid work model and 'workation'
- Receive various discounts of up to more than 50 percent on attractive brands such as Flaconi, Bosch, Apple or Expedia
- You will be given real ownership and plenty of room for new initiatives, as well as the opportunity to contribute your expertise and implement your great ideas
- Inviting office spaces with access to plenty of organic teas and superfoods from around the world
- We like to celebrate each other! Regular tea & office parties, Christmas and summer feasts and various influencer events such as Women's Day
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Analyst Jobs
Tags: A/B testing BigQuery Business Analytics Data Analytics Data visualization KPIs Looker Predictive modeling Python Qlik R SQL Tableau Testing
Perks/benefits: Fitness / gym Team events
Region:
Europe
Country:
Germany
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