We invite you to be one of key people that will design future for our young, energetic and fun brand Züber in this role. We are growing fast, you need to catch up! Be innovative, creative and definitely willing to contribute. This is a young and resourceful team, let us know if you want to be a part of this team.

QUALIFICATIONS:

• Bachelor's Degree in Business Administration, Economics, Statistics, Ekonometrics, Psychology, Sociology or Antrolopology is preferred.
• Min 2 years experience in quantitative and / or qualitative data companies (Nielsen is a plus)
• Proficient in Microsoft Office suite, with strong PowerPoint and Excel skills
• Strong quantitative analysis skills and understanding of data structures
• Experience with Power BI is desirable
• Strong ability to think and communicate in a structured manner
• Passionate in data visualisation and data storytelling, with strong aesthetic sense
• High sense of curiosity, especially around consumer behaviour, motivations, and emerging trends
• Demonstrated ability to translate qualitative observations into actionable insights
• Experience or interest in insight hunting, ethnographic research, or trend analysis is a plus
• Ability to work independently and as part of a team
• Adaptable and quick learner, eager to grow and develop
• Attention to detail and a commitment to delivering high-quality work
• High sense of curiosity and problem-solving drive
• Willing to commute to the office (HQ in Maslak) 5 days a week with flexible working hours.

JOB DESCRIPTION:

• Conduct in-depth analysis of Nielsen quantitative data to identify trends, patterns, and opportunities and treats
• Develop data pipelines to automatically clean and store data, create monthly data reports for several market landscapes in a timely and effective manner
• Query data according to research needs
• Set benchmarks and identify opportunities to improve performance
• Be able to present key findings from analyses to senior management to inform decision-making
• Design data visualisation dashboards in collaboration with colleagues from respective teams
• Train colleagues outside of the analytics team in data analysis to incorporate data analytics into business decision-making
• Support consumer insight generation through trend tracking, ethnographic exploration, and consumer listening activities
• Explore and test emerging research technologies (e.g. AI-assisted surveys, social listening tools, mobile ethnography platforms) with a focus on cost-effective innovation
• Collaborate with marketing teams to identify storytelling opportunities for award submissions and support the insight development needed for such entries
• Stay up to date on local and global marketing award programs (Effie, Felis, etc.) and contribute with data and insight that strengthens strategic narratives