Senior Data Analyst (m/f/d)

Posted 8 Days Ago
Be an Early Applicant
Hamburg
Senior level
Retail • Software
The Role
The Senior Data Analyst will develop data models based on financial data, conduct quantitative analyses, and lead data-driven financial reporting projects. They'll also design and build dashboards while collaborating with various teams to provide actionable insights.
Summary Generated by Built In

Job Description

The Financial Data and Automation Team drives the digital transformation of ABOUT YOU's Finance organization, collaborating closely with diverse teams across the company. We go beyond reporting and automation, unlocking value from Germany’s first e-commerce unicorn's extensive data ecosystem - spanning over €1.9 billion in group revenue, 4,000+ brands, and multiple revenue streams.

We are seeking a Senior Data Analyst (m/f/d) to work with Business Intelligence, Finance, and other operational teams, creating impactful data solutions and insights.

Responsibilities

  • Develop data models based on financial and operational data to enable complex analyses for our Finance teams
  • Conduct complex quantitative analysis using SQL and other data sets, including BI, financial, operational, and transactional accounting data
  • Lead end-to-end data-driven financial reporting projects using descriptive, diagnostic, and predictive analytics, providing actionable insights for stakeholders
  • Design and build dashboards in Google BigQuery and Google Looker Studio

Requirements

  • University degree in Business Informatics, Finance, Economics, Business Administration or a comparable field
  • Strong skills in data modeling using SQL and Python
  • Proven ability to present data-driven insights clearly to both technical and non-technical stakeholders
  • Proactive, solution-oriented mindset with a strong sense of ownership and adaptability in dynamic environments
  • Familiarity with data visualization tools (e.g., Looker Studio, Tableau, Power BI) is advantageous
  • Experience with Google BigQuery or similar cloud solutions is a plus

Benefits

  • Flexible working times
  • 40% discount on our online shop
  • Fresh fruits + drinks everywhere
  • Language courses (German & English)
  • Free sports courses & reduced price for gym membership
  • Mobility subsidy
  • Modern office in the city center of Hamburg
  • International working environment and English as company language
  • Agile work environment (MOVE) and cross-functional teams
  • Dog-friendly office

You are the core of ABOUT YOU
We take responsibility for creating an inclusive and exceptional environment where all genders, nationalities and ethnicities feel welcomed and accepted exactly as they are. We believe that a diverse workforce essentially contributes to the ABOUT YOU culture. In order to maintain talent and diversity, we emphasize the care for physical health, mental health and overall well-being. Our values and work ethics essentially contribute to our brand mission: empower acceptance and shape an inclusive, fair and circular fashion culture.

Because of our strong growth, new challenges and possibilities arise all along to further develop oneself and the company. Our team consists of people from different areas of expertise – fashion, marketing, business and tech – we are driven and united by our passion. We motivate and support each other, we share our know-how and we are open towards different opinions and new ideas.

We are looking forward to receiving your application – preferably via our online application portal! Thus, we can ensure a faster process and for you it is very easy to upload your application documents.

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The Company
Hamburg
196 Employees
On-site Workplace
Year Founded: 2018

What We Do

SCAYLE enables brands and retailers to realize their D2C ambition. Easy. Fast. And limitless. With headless commerce technology, international operations, and data-driven marketing. Our commerce engine is proven by the success of ABOUT YOU and allows brands to scale infinitely – empowering them to become market leaders in their industry.

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