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Senior Financial Data Analyst(m/w/x)

Hamburg
Full-timeOn-siteSenior

Developing robust data models from financial and operational data for a circular fashion company. Strong proficiency in data modeling and exploratory analysis using SQL and Python required. 40% online shop discount, free sports courses, and language courses.

Requirements

  • University degree in Business Informatics, Finance, Economics, Business Administration, or related field
  • Several years of professional experience in Data Analytics, ideally with a financial focus
  • Strong proficiency in data modeling and exploratory analysis using SQL and Python
  • Proven ability to interpret complex data and communicate findings clearly
  • High analytical capability, curiosity, and attention to detail
  • Proactive, solution-oriented mindset with strong ownership and accountability
  • Experience with cloud-based data solutions and data visualization tools is an advantage
  • Familiarity with project management frameworks and additional programming or scripting languages is a plus

Tasks

  • Develop robust data models from financial and operational data
  • Conduct advanced quantitative analyses of large, multi-source data sets
  • Align operational and transactional accounting data with financial reporting standards
  • Lead data-driven financial reporting projects using descriptive, diagnostic, and predictive analytics
  • Deliver actionable insights to stakeholders
  • Perform advanced exploratory data analysis (EDA) and data modeling
  • Uncover underlying structures and relationships in data
  • Act as a trusted partner on data and finance topics
  • Design and implement interactive dashboards in Google BigQuery and Looker Studio

Work Experience

  • approx. 4 - 6 years

Education

  • Bachelor's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • SQL
  • Python
  • Google BigQuery
  • Looker Studio
  • Tableau
  • Power BI

Benefits

Flexible Working

  • Flexible working hours

Corporate Discounts

  • 40% discount on online shop

Snacks & Drinks

  • Fresh fruits and drinks

Learning & Development

  • Language courses

Healthcare & Fitness

  • Free sports courses
  • Reduced price for gym membership

Public Transport Subsidies

  • Mobility subsidy

Modern Office

  • Modern office in city center

Informal Culture

  • International working environment
  • Dog-friendly office
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