We’re always looking for the ones truly passionate about their work. If you are amongst them, you can rest assured there is a place for you in eMAG. We’ve grown very fast and we are determined to keep doing so. What brought us here is our desire for continuous evolution and practical results.
More than 6000 colleagues are part of eMAG Teams. We strongly believe in people development and therefore every year we invest more and more energy and resources to remain an organization that is constantly learning. We want to make sure that you’ll have the most talented colleagues, as well as the proper environment to grow and achieve great results, to become what you desire on a personal and professional level. Join us, grow faster!
Fashion Days through eMAG IT is looking for a Data Analyst to join their Fashion Days Platform Team. We need a person with background in Data Analysis to help us leverage data to enhance our customer experience and satisfaction.
As a Data Analyst, you will work closely with stakeholders across the organization to understand their data needs and provide them with relevant insights and recommendations to support business decisions and goals.
What you’ll have to do:
- Gather, aggregate and analyze data from various sources, such as internal databases, Google Analytics and BigQuery to provide insights and support decision-making processes;
- Work closely with your colleagues in improving the current tracking and develop new flows according to business needs;
- Analyze and interpret complex data sets to identify patterns and insights in customer journey (such as traffic sources, conversion rates, purchase frequency);
- Perform regularly data checks to ensure data accuracy, integrity and accessibility for analysis purposes;
- Develop and maintain reports and dashboards using data visualization tools to communicate insights effectively to stakeholders;
- Work together with product and marketing teams to provide data-driven recommendations for improving user experience;
- Stay updated with industry best practices and emerging trends in e-commerce analytics, tracking and user behavior analysis.
How we’d like you to be:
- University degree in Economics, Computer Science, or equivalent professional experience;
- Have 2+ years’ experience as a Data Analyst or similar positions;
- Have SQL experience;
- Have strong analytical and problem-solving skills with the ability to work with complex datasets;
- Able to translate business problems into quantitative analyses and produce useful insights;
- Have excellent communication skills to present findings and collaborate effectively with teams;
- Detail-oriented and able to work independently;
- Excellent English communication skills (spoken and written);
- Nice to have: Knowledge of Big Query and Google Analytics;
- Familiarity with Python;
- Experience with visualization tools such as Tableau, Power BI or Looker Studio.
What we’ve prepared for you:
- Medical subscription: Medicover, MedLife or Regina Maria.
- A flexible budget that you can invest in yourself as you wish: meal tickets, holiday tickets, cultural vouchers, private pension, foreign language classes, eMAG, Fashion Days, Tazz, Therme & Genius, membership to different gyms or even professional development classes.
- Different discounts from our partners: banking, mobile, dental medicine or wellness.
- Access to the Bookster library and free credits on the Atlas psycho-emotional health platform.
- An accelerated learning environment, with access to over 100.000 curated online resources and platforms, learning academies and development programs.
- New headquarters, where sleek design, natural light, and versatile spaces create an energizing and comfortable environment for hybrid work.
Curious to find out more about the next step in your career? Apply now and if your experience is relevant for the role you wish, we will give you a call for more details!
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- Posted
- Dec 16, 2024
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Bucharest Metropolitan Area
- Company
- eMAG
Industries
Categories
Related Jobs
3 roles aligned with this opportunity
Data Engineer (Data&AI, BI MWP Team)
2026-02-02
DevOps Engineer (Flip Team)
2026-02-09
Frontend Developer (Web&Mobile, Cosmo Team)
2026-01-29