(Senior) Data Analyst (all genders) ☠️

Summary

Team: Data Platform Team
Position: (Senior) Data Analyst
Location/Remote-Work: The work style is hybrid: You can work from home, but you should live in the broader Hamburg area to be able to occasionally attend team meetings on-site.
Languages: German and English (B2 is the minimum level for both)
Status: Actively hiring

Who We’re Looking For

We’re searching for a (Senior) Data Analyst, to supplement our data platform team. You’ll transform our raw data into clean, analysis-ready datasets, develop and document clear data models in close collaboration with our business stakeholders. This powers critical business decisions across a scaled, leading company in the US package delivery market. Ideally, you have 3-5 years (Senior = 5+ years) of experience analyzing data in a role involving business, growth, or product analysis. Sounds like a fit? Perfect! Here's where your knowledge will come in handy:

• Experience with a modern Data Intelligence Platform stack like Databricks (this is our choice) or Snowflake OR Data Warehousing tools like BigQuery or Redshift.
• Proficient in SQL, working with complex datasets.
• Strong analytical skills with the ability to translate business questions into insights.
• Experience with data visualization tools like Tableau, Looker or QuickSight.
• Proven track record of building KPI dashboards that drive critical business decisions.
• Educate stakeholders (CxO, Product, Engineering) on best practices for producing and using data products.
• Strong collaboration skills and the ability to drive alignment across teams in multiple countries.

Nice-to-have:

• Ability to design and maintain dimensional data models to support business intelligence and reporting needs.
• Knowledge of A/B experimentation and how to perform statistical analysis.
• Enjoys mentoring and knowledge sharing across the team.

You can check out our full tech stack in our Tech Radar.

Since we work in cross-functional teams, mastering every area is not necessary. What matters most is that you share our values and are a good fit with our crew. We value personal development and provide the space for it. Strong English language skills are essential, as we regularly communicate with colleagues in the US and write documentation in English. At work, we communicate mostly in German, but we can all speak English. If you speak pirate that wouldn’t hurt either – YYYAAAARRRRrrrrrr!

The Team and Domains

We're currently forming another platform team (in line with Team Topologies) where you will set your anchor. Your expertise will have a company-wide impact on our crew, like the product managers and the marketing and analytics team. In addition to ongoing work, this team will tackle projects in the following areas:

• Identifying the root causes behind business trends to solve complex commercial problems, for example, investigating why the conversion rate dropped.
• Make product metrics (data) usable, like behavioral data, churn rate, retention rate, and build a KPI tree to support our product teams making data-informed decisions.
• Partnering with Product Engineering and act as an important link between product teams and the data platform.
• Fraud prevention is a strategically important topic. This includes analyzing user activity, identifying indicators of fraud, recognizing patterns, and incident response / mitigation.
• Supporting our marketing in the US with an attribution model. Which channel should we use? How much budget is a sensible investment?
• Support LLM-based data products in Databricks to optimize CX workflows and improve customer interactions.