Data Analyst - Commercial Team Fashion Days

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 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's development and therefore every year we invest more and more energy and resources to remain an organization that is constantly learning. We want to ensure that you’ll have the most talented colleagues and the proper environment to grow and achieve great results, to become what you desire on a personal and professional level. Join us, grow faster !

Data Analyst Commercial Team (Fashion Days)

What you’ll have to do:

Data Management: Work with large datasets in Impala, optimize queries, and ensure data quality and integrity.
Data Integration: Combine datasets from multiple sources to create comprehensive analytical views.
Visualization: Design and implement effective Tableau dashboards that link to underlying data sources.
Analysis: Perform complex analysis to identify business opportunities and challenges.
Automation: Develop automated processes for regular reporting and data updates.
Collaboration: Partner with commercial analysts to understand business needs and provide technical solutions.
Documentation: Create and maintain documentation for data models, ETL processes, and reporting solutions.

What makes you a good fit:

2+ years’ experience in a data analysis or business intelligence role.
Strong SQL skills, particularly with Impala or similar Hadoop-based query engines.
Proficiency with Tableau, including dashboard design and data connections.
Experience working with large datasets and understanding of data optimization techniques.
Ability to translate business requirements into technical specifications.
Bachelor’s degree in computer science, Data Science, Business Analytics, or related field (or equivalent experience).
Experience with commercial or business analysis.
Knowledge of ETL processes and data warehousing concepts.
Familiarity with Python, R, or other programming languages for data analysis.
Understanding of data modeling techniques.
Experience with Tableau or other Data Visualization Tool (Power BI, Looker).
Previous experience in the same or related industry.
Strong problem-solving skills and analytical thinking.
Excellent communication skills to explain technical concepts to non-technical stakeholders.
Detail-oriented with a commitment to data accuracy and quality.
Self-motivated and able to work independently while contributing to team goals.
Adaptable and eager to learn new technologies and methodologies.

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, 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 Hilio 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.

#midsenior

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! Also, here you can find our confidentiality policy if you want to consult it.

Data Analyst - Commercial Team Fashion Days

Key Skills

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