Team Lead Pricing Analytics (f/m/d)
Visualizza: 177
Giorno di aggiornamento: 07-10-2024
Località: Berlin Bremen Brandenburg
Categoria: IT - Software
Industria: Internet Retail Information Technology Services
Posizione: Mid-Senior level
Tipo di lavoro: Full-time
Contenuto del lavoro
Zalando’s Pricing Platform team provides the analytical and algorithmical backbone to recommend discounts for 500K+ articles in 20+ countries on an ongoing basis. Understanding how pricing adds to value creation for our customers is at the core of Pricing Analytics. We help our software development teams and pricing experts to take the best pricing and development decisions with data analytics products and insights on large scale data and constantly advance our understanding of long term customer lifetime value created by pricing decisions.As a Team Lead Pricing Analytics , you and your team are quantifying the incremental impact of our price recommendation systems. You are developing scalable analytics products and shaping KPIs - providing insights, not just dashboards. Contributing to key initiatives, you and your team develop and use scalable A/B testing and structural time series frameworks for article-based pricing products - at the forefront of technology, tackling complex research and analytical challenges.
WHERE YOUR EXPERTISE IS NEEDED
- With your business understanding you quantify and explain how Pricing decisions and tools create value based on a thorough understanding of the success metrics / KPIs, and how they are linked to Zalando’s vision and strategy.
- Embrace innovation and create a technical environment for analysts to perform their work with state of the art tools.
- Lead a diverse team of expert data analysts and shape the team’s vision by creating its long term research and methodology roadmap.
- Empower, attract, and grow analytical talent and foster an inclusive and diverse team environment.
- Drive collaboration and foster transparent communication across different teams.
- Academic background in a quantitative field (Econometrics, Statistics, Mathematics, Physics)
- Proven track record of 7+ years experience in analytics or data science industry with 2+ years of experience managing and developing analytics teams in a digital environment.
- Strong technical background with advanced SQL skills and programming background (Python, Jupyter, Airflow, Databricks, Pandas). Excellent knowledge in coding for data retrieval, exploration and analysis.
- Experience (4 years and above) in people and/or project leadership within a complex business environment. Proven track record in developing solutions from initial idea to production.
- Understanding of the economics of online platforms and/or online fashion retailers and the commercial KPIs governing their success.
- Excellent communication skills, clarity and structure.
- Analytical thinking and attention to detail our field is characterized by complexity where details matter, therefore we are in constant need for rigorous and detailed reviews of our initiatives.
- Culture of trust, empowerment and constructive feedback, open source commitment, meetups, game nights, 70+ internal technical and fun guilds, knowledge sharing through tech talks, internal tech academy and blogs , product demos, parties & events
- Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings
- Extensive onboarding, mentoring and personal development opportunities and an international team of experts
- Relocation assistance for internationals, PME family service and parent & child rooms* (*available in select locations)
Zalando SE
Zalando is Europe’s leading online platform for fashion and lifestyle, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 42+ million active customers through diverse skill-sets, interests and languages our teams choose to use.
Please note that all the applications must be completed using the online form - we do not accept applications via e-mail.
Scadenza: 21-11-2024
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