Data Analyst (Automation & Personalization Team)

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 !

What You’ll Have To Do

Conduct exploratory analyses on traffic data to understand customer behavior;
Measure the impact of product improvements;
Define, calculate, and set up tracking metrics;
Perform offline analyses and simulations on algorithm variations.

Experience And Background

How we'd like you to be:

Have 3+ years of experience in a Data Analyst or Product Analyst role, preferably in a digital product or eCommerce environment;
Have proven ability to work with product and cross-functional teams to generate actionable insights that drive measurable outcomes;
Have experience supporting product discovery, feature rollout, and UX iteration cycles through structured analysis.

Technical Skills

Have strong proficiency in SQL (e.g., BigQuery, PostgreSQL, or similar) for data extraction, transformation, and performance analysis;
Have experience building and maintaining dashboards in BI tools such as Looker, Tableau, Power BI, or similar;
Have ability to design and interpret A/B tests; understanding of statistical significance, test design, and experimentation platforms;
Have experience working with large datasets, joining across multiple sources (e.g., CRM, product and traffic logs);
Be comfortable working with data in Google Sheets, Excel, or Python (optional but a plus).

Analytical Thinking and Business Context

Have ability to transform vague questions into structured analysis plans, and raw data into clear business narratives;
Have solid understanding of metrics frameworks: DAU, MAU, conversion rates, retention curves, NPS, engagement ratios, etc;
Have experience defining KPIs and building metric hierarchies for product dashboards, funnels, or seller engagement;
Have high attention to detail when validating data quality or interpreting trends.

Communication and Collaboration

Be able to communicate complex data findings clearly to both technical and non-technical audiences;
Have strong documentation skills: analysis notes, dashboards, tracking plans, etc.;
Be proactive and self-driven: able to push analysis forward even when requirements are not fully defined.

Will Be a Plus

Have exposure to Python or databases for data modeling is a plus.

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 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!

Data Analyst (Automation & Personalization Team)

Key Skills

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