Consultant/Interim - Customer Data Analyst in Gothenburg
Workplace: Göteborg, Sverige
Expires: August 14, 2025
We are now looking for an experienced Customer Data Analyst for a longer assignment in Gothenburg within the retail sector. You will use your deep analytical skills to influence the customer journey in a data-driven organization, contributing from day one in an advanced data environment with a team that values innovation, collaboration, and flexibility. This is a long-term assignment expected to start after summer and last until spring 2026.
Main requirements:
  • Analyze customer data to identify patterns and generate insights
  • Daily use of Python and SQL to create valuable data-driven solutions
  • Conduct A/B testing and work hypothesis-driven to improve customer experience
  • Work closely between business and tech teams as a bridge
  • Contribute to the development and analysis of digital customer interactions
Responsibilities:
  • Analyzing customer data to identify patterns and generate insights
  • Using Python and SQL daily for data solutions
  • Conducting A/B tests and hypothesis-driven improvements
  • Collaborating closely with business and technical teams
  • Contributing to development and analysis of digital customer touchpoints
Required hard skills:
  • Strong proficiency in Python
  • Strong proficiency in SQL
  • Experience with data analysis and statistics
  • Experience with CRM/marketing/customer-related data analytics
  • Experience with cloud services such as AWS or Azure
Recommended hard skills:
  • Familiarity with Apache Airflow
  • Knowledge of Salesforce Marketing Cloud
  • Knowledge of Google Analytics
  • Some knowledge of generative AI
Soft skills:
  • Communicative with ability to translate complex insights into business value
  • Collaborative team player
  • Ability to explain and visualize data to different parts of the organization
  • Initiative-taking and contributing to a culture of continuous development
  • Proficient both in Swedish and English communication
Coding languages:
  • Python
  • SQL
Frameworks:
  • Apache Airflow (recommended)
Natural languages:
  • Swedish (Proficient)
  • English (Proficient)
Cultural skills:
  • Working in a mature data environment
  • Cross-functional collaboration with marketing and analytics teams
  • Innovative and personal development oriented atmosphere
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