As Zalando transforms from Europe’s leading e-commerce company into a multi-service platform for fashion, this is an exciting time to join us. As Data Analyst for Pricing Analytics, you’re part of a high performing team, creating new and innovative ways to connect people and fashion. When you can tackle new challenges and take ownership of your work, the opportunities to make a personal impact are limitless, and there’s always more to play for.
Within our Pricing Analytics Team, you will be at the interface between Commercial Team and our Pricing & Forecasting products forefront, having a huge impact on Zalando’s success. You will enable commercial stakeholders to take better decisions based on data, and help them to improve their top and bottom-line performance in an increasingly competitive fashion market. Data is a critical part of our development process, and Analysts are their chief advocates. We are looking for a Data Analyst for Pricing Analytics who can jump in and make an impact quickly.
You will play a vital part in improving the effectiveness of pricing decisions and establishing monitoring insights and analytics for top management. You will develop a deep analytical understanding of what drives the growth of our products and business and how it can be improved. You will support in the automation of our systems and the generation of reports. You will support the set-up and analyze A/B tests for new solutions, generate and size opportunities to prioritize implementation of decisions, and define key performance metrics for the team. You will give analytical evidence as to why we do certain things, thereby challenging and contributing to decisions based on these insights. As a Data Analyst Pricing Analytics, you will be all together a data explorer, educator, and partner in decision-making.
Purpose. You’ll identify, translate and prioritize improvements to various Pricing & Forecasting decisions across teams based on data. You’ll synthesize and communicate insights during the development process. You’ll provide performance and strategic insights to top management and key stakeholders.
Improvement. You’ll set-up, analyze, and promote good practices for experiments, simulations and transparency on key KPIs. You’ll actively contribute to creating a data-informed culture at Zalando and within the team.
Collaboration. You’ll partner with commercial stakeholders across Zalando and the delivery teams for various Pricing & Forecasting products to implement, document, validate, and monitor our performance and improvements.
Education & Expertise. You bring good understanding of quantitative analyses, solid business acumen and strong communication skills. You have a background in computer science, statistics, mathematics, business, economics and/or a similar quantitative discipline. You proved yourself and the value you can generate in a similar role previously, ideally in consulting, e-commerce or tech.
Technologies. You have experience with analytics and some combination of:
Experience performing analysis with large datasets with a deep understanding of statistical analysis, experiment design, and common pitfalls of data analysis.
Communication. You effectively synthesize, visualize, and communicate your ideas to others and have the ability to explain complex topics in simple terms.
Culture. A workplace where trust, empowerment and feedback are valued; 100+ internal technical and fun guilds; tech talks; product demos; coder dojos; parties & events; ping-pong, video games and movie nights.
Perks. Competitive salary; great shopping discount on a wide range of products on zalando.com; discounts from external partners; public transport discounts; relocation assistance; flexible working times; hardware of your choice; additional holidays & volunteering time off; diverse sports and health offerings; free beverages & fruits.
Development. Your individual “Tour of Mastery”; mentoring program; extensive onboarding; diverse career opportunities; personal branding support; possibility to attend and speak at conferences
Peers. Self-organized, autonomous teams and international, accomplished experts to interact with & learn from.
WANT TO JOIN US?
If you fulfill the above criteria, then go ahead and apply! Should you have any questions about our hiring process, please contact recruiter Jenny Bäricke.