Be Part of Something Big – We’re Hiring a Marketing Data Analyst!
Join us, in partnership with a globally renowned omnichannel company celebrated for innovation and excellence, as we embark on an exciting journey! We’re seeking a passionate and experienced Marketing Data Analyst to take the lead and play a crucial role in launching our new IT Software Hub in Bucharest.
What You'll Do: In this role, you’ll be at the heart of revolutionizing how millions of users interact with cutting-edge products. By harnessing customer and onsite data, you’ll empower our marketing and product teams with actionable insights to:
- Drive personalized experiences and campaign optimization.
- Craft seamless, engaging customer journeys across channels.
- Shape smart, data-powered decisions that leave an impact.
This is your opportunity to be part of an international team that values creativity, innovation, and collaboration. You’ll work on exciting challenges, make a tangible difference, and grow with the support of forward-thinking colleagues.
- Location: Bucharest
- Program: Hybrid (4 WFH)
Main responsibilities
- Analyze customer and onsite data using SQL and Python to optimize marketing
campaigns and operational decisions. - Design, expand, and optimize Data Science use cases such as next best offer, A/B
testing strategies, and customer journey analytics. - Develop and deliver self-service BI solutions tailored to webshop analytics and
customer segmentation. - Collaborate with cross-functional teams to bridge business questions with data-driven
answers. - Ensure scalable, reliable, and interpretable models using best practices and modern tools.
Your profile
- At least 2+ years of working experience as a Data Analyst or similar role.
- Experience in the e-commerce industry is essential, with a focus on omnichannel marketing (including display, Google Ads, and social media marketing)
- Advanced SQL programming is mandatory.
- Solid programming skills in Python
- Strong knowledge in building forecasting models using machine learning and
statistical methods. - Knowledge of data visualization tools such as Tableau, Power BI, or similar.
- Strong background in online marketing, data analysis, and onsite tracking (e.g.,
Google Analytics (GA4). - Agile mindset with a hands-on and solution-oriented attitude.
- Passion for working with people and communicating data insights effectively.
- Curiosity for new technologies and eagerness to experiment.
- Confident communication skills in English.
