Senior Data Analyst (m/f/d) - Recommendation - onsite in Hamburg or Berlin at ABOUT YOU SE & Co. KG
May no longer be active — verify on the employer site
At a glance
- Company
- ABOUT YOU SE & Co. KG
- Location
- Hamburg, Germany
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 2–5 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this ABOUT YOU SE & Co. KG job
- 🏢 ABOUT YOU SE & Co. KG has 62 jobs here, 42 with visa sponsorship see all
- 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
- 💡 No salary shown. Ask ABOUT YOU SE & Co. KG if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
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About the role
Responsibilities:
- Act as the bridge between data scientists, software engineers and product teams to align recommendation goals and priorities.
- Define KPIs with stakeholders and translate product objectives into measurable metrics for recommendation performance.
- Build and maintain tracking systems, dashboards and monitoring tools (performance, CTR, engagement).
- Analyze user behavior and recommendation success metrics to identify improvements in relevance and UX.
- Develop and maintain reliable, scalable data models and pipelines on the data platform.
- Deliver actionable insights and dashboards to product managers; automate repetitive processes to increase team efficiency.
Requirements:
- Advanced SQL skills; Python experience is a strong plus.
- Experience with tracking/event data (GA4 a plus) and version control (GitLab).
- Familiarity with data warehouses (BigQuery or similar) and visualization tools (Looker Studio or similar).
- Experience in data mining, cleaning and user behavior analysis; ability to build interactive dashboards (Streamlit/Voila/Gradio beneficial).
- Strong analytical thinking, clear communication skills and ability to convey complex findings to non-technical stakeholders.
- Self-driven, able to work independently and collaborate across functions.
Responsibilities
You will act as a bridge between data scientists, software engineers, and product teams to develop and maintain recommendation systems. This involves analyzing user behavior, building tracking systems, and providing actionable insights to optimize the recommendation engine.
Requirements
The ideal candidate has advanced SQL skills, experience with data warehousing, and proficiency in building interactive dashboards. You should be able to work independently and possess strong analytical and communication skills to drive recommendation performance.
Key skills
- SQL — in 545 other listings on The Stack
- Python — in 1200 other listings on The Stack
- Data engineering — in 120 other listings on The Stack
- Data analysis — in 278 other listings on The Stack
- Data visualization — in 114 other listings on The Stack
- Tracking systems — not in any other listing on The Stack
- Dashboard development — in 1 other listing on The Stack
- User behavior analysis — in 7 other listings on The Stack
- Gitlab
- BigQuery
- Looker Studio
- Streamlit
- Data mining
- Data cleaning
- Communication skills
- Analytical thinking
On The Stack (as of 2026-11-05)
Frequently asked questions about ABOUT YOU SE & Co. KG
Is this Senior Data Analyst (m/f/d) - Recommendation - onsite in Hamburg or Berlin role still open?
It was posted on 2026-04-02. Listings more than 30 days old may no longer be active, so check ABOUT YOU SE & Co. KG's site before applying.
Does ABOUT YOU SE & Co. KG offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on ABOUT YOU SE & Co. KG's site.
Where is this role located?
The listing gives the location as Hamburg, Germany. It is marked on-site.
What skills does this role ask for?
The listing names: SQL, Python, Data engineering, Data analysis, Data visualization, Tracking systems, Dashboard development, User behavior analysis, Gitlab, BigQuery, Looker Studio, Streamlit, Data mining, Data cleaning, Communication skills, Analytical thinking.