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Data Analyst-Jobs in Deutschland

Senior Data Analyst

Senior Data Analyst
Methodfi
Berlin
EUR 60.000 - 80.000
Ich möchte über neue Stellenangebote mit dem Stichwort „Data Analyst“ benachrichtigt werden.

Data Analyst (m/w/d)

Data Analyst (m/w/d)
AllatNet Recruiting GmbH & Co. KG
Nürnberg
EUR 50.000 - 70.000

Data Engineer (m/w/d)

Data Engineer (m/w/d)
BayWa r.e. renewable energy GmbH
Leipzig
EUR 50.000 - 70.000

Data Scientist / Engineer (m/w/d)

Data Scientist / Engineer (m/w/d)
AllatNet Recruiting GmbH & Co. KG
Deutschland
EUR 55.000 - 75.000

Senior Backend/Data Engineer - Inspiration and Entertainment

Senior Backend/Data Engineer - Inspiration and Entertainment
Zalando
Berlin
EUR 50.000 - 90.000
Entdecke mehr Stellenangebote als bei herkömmlichen Stellenportalen.
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Data Engineer

Data Engineer
Teamit
Berlin
Remote
EUR 40.000 - 60.000

Data Engineer (m/f/d) Hamburg

Data Engineer (m/f/d) Hamburg
Fr. Meyer's Sohn GmbH
Hamburg
EUR 45.000 - 75.000

(Senior) Consultant Data Science & MLOps, d/f/m

(Senior) Consultant Data Science & MLOps, d/f/m
PrivateFinancePartners GmbH
Leipzig
EUR 48.000 - 80.000
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Data Engineer Dataiku (H/F)

Data Engineer Dataiku (H/F)
Towards AI, Inc.
Deutschland
EUR 60.000 - 80.000

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Senior Data Analyst

Methodfi
Berlin
EUR 60.000 - 80.000
Jobbeschreibung
About Yepoda

At Yepoda, Korean effectiveness meets sustainable solutions: our mindfully produced skincare products are made with love in Korea. Our mission is to bring the best beauty innovations from Korea straight to Europe – without ever compromising on our values, quality, and sustainability. All our products are made with the best natural and active ingredients, are vegan and cruelty-free. We aim to make the K-Beauty routine easy, effective, and fun.

Founded in 2020 and located in the heart of Berlin, our beauty start-up is home to a vibrant team of over 80 brilliant human beings from around the globe. Together, we're shaping Yepoda's story.

We are looking for a Senior Data Analyst to support our growing Data team at Yepoda. In this role, you will lead impactful analytics projects across the company—driving strategic decisions through advanced modeling, cross-functional collaboration, and clear communication of insights.

Your Tasks
  • Advanced Analytics & Modeling: Build robust data models and perform deep-dive analysis to support initiatives such as forecasting, churn prediction, cohort analysis and marketing performance evaluation.

  • Cross-functional Collaboration: Partner with teams across marketing, product, and operations to identify data needs and deliver actionable insights.

  • Marketing Data Expertise: Analyze performance from paid marketing campaigns, influencer activities, and web traffic using platforms like GA4 to optimize ROI and audience engagement.

  • Dashboard Development: Design and maintain user-friendly dashboards using Looker Studio (or similar tools) to support both high-level KPIs and day-to-day operations.

  • Self-Service Analytics: Oversee the progress and usage of self-service analytics tools, ensuring they are reliable, accessible, and effective for business users.

  • Mentorship: Guide and support analytics interns, providing feedback, structure, and learning opportunities.

  • Stakeholder Engagement: Translate analytical findings into clear, actionable recommendations for both technical and non-technical audiences.

  • Project Management: Prioritize and manage multiple analytics projects, balancing speed with accuracy and business value.

Your Profile
  • 4+ years of hands-on experience in data analytics or a similar role.

  • Strong foundation in statistics, data modeling, and data interpretation.

  • Proficient in Python, SQL, Looker Studio, dbt, git, and Jupyter Notebook.

  • Experience with marketing analytics, including data from paid ads, influencer marketing, and GA4.

  • Solid understanding of e-commerce and business intelligence workflows.

  • Proven ability to work collaboratively with cross-functional teams and manage stakeholder relationships.

  • Strong communication, problem-solving, and critical thinking skills.

  • Self-starter with a proactive mindset and a willingness to mentor others.

  • Experience managing or supporting small-scale projects with multiple deliverables.

What We Offer
  • Dynamic Environment: The opportunity to work in a start-up environment surrounded by a passionate and dedicated team.

  • Accelerate Your Career: Take on responsibility from day 1, with room for professional growth and advancement as the company continues to expand.

  • Inspiring Workspace: Located in the heart of Berlin's Prenzlauer Berg, a dog-friendly office, with free drinks and snacks.

  • Hybrid Working: We understand that sometimes you get more stuff done from home and need a change of scenery.

  • We Value Diversity: We seek to build an inclusive workplace that welcomes people from all different backgrounds. A welcoming, international, dedicated team with flat hierarchies and trust by default.

  • Employee Discounts: You’ll get to enjoy the Yepoda products at a discount and share it with friends and family.

  • Unique add-ons: Enjoy an Urban Sports membership package to help you stay active and healthy.

Would you like to be part of the team? Then we'd love to hear from you! ????

Make sure to apply by clicking on the “Apply for this job” button below. Please upload your CV and Cover Letter in English language. Our Talent Acquisition team will review your application and get back to you as soon as possible.

At Yepoda we are dedicated to providing equal employment opportunities to all individuals, regardless of race, color, ethnicity, ancestry, religion, national origin, citizenship, gender, gender identity or expression, sexual orientation, age, marital status, parental status, disability, or any other status protected by applicable law.

* Der Gehaltsbenchmark wird auf Basis der Zielgehälter bei führenden Unternehmen in der jeweiligen Branche ermittelt und dient Premium-Nutzer:innen als Richtlinie zur Bewertung offener Positionen und als Orientierungshilfe bei Gehaltsverhandlungen. Der Gehaltsbenchmark wird nicht direkt vom Unternehmen angegeben. Er kann deutlich über bzw. unter diesem Wert liegen.

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