Team Lead Business Intelligence (Logistics)

Recruiter
Zalando
Location
Berlin
Posted
26 Jun 2020
Closes
10 Sep 2020
Ref
2173925
Level
Manager
As a Team Lead for Business Intelligence Logistics Team, you will help foster a more data driven strategy for our Zalando Offprice Logistics. While putting data at the core of our decisions and processes, you will support us in financial planning, descriptive and predictive analytics, and deep dive analyses as part of our mission to improve operational efficiency and the customer experience.

The position is a key vacancy in our organisation and will not only set the foundation for Logistics reporting, but also have visibility and interaction with senior management.

WHERE YOUR EXPERTISE IS NEEDED
  • You define our logistics data analytics roadmap and define models that enable us to better analyse and understand operational processes, patterns, and trends.
  • Excellent communicator and with your data storytelling skills support our senior management and business teams taking data-based business decisions and actions.
  • Translating questions into testable hypotheses and research questions to drive business to the next level. Your deep dive analyses and visualisations on large & diverse data sets will help us to develop our business model.
  • Mentorship for junior analysts and coach your commercial colleagues to grow their analytical capabilities. You will further spark the team's enthusiasm for being data-driven, and help them to be able to get and work on the data they need to base decisions on their own analyses.

WHAT WE ARE LOOKING FOR
  • You balance technical acumen with business understanding and excel in collaborating with commercial stakeholders to drive insightful, robust analyses. Proven track record of 6+ years as a quantitative analyst in an e-commerce environment with 3+ years of people leadership experience.
  • Advanced proficiency in SQL (experience with Spark/Databricks a plus), Tableau for data visualisation & storytelling, and Excel. Proficiency in data transformation and statistical computing in Python or R.
  • Excellent verbal and written communication skills with a curious and self-starter mindset. Excellent stakeholder management skills. You couple your passion for big data with pragmatism to drive actions and impact.
  • Excellent educational background in Economics, Business Informatics, Statistics or similar quantitative field. Advanced degree preferred.

PERKS AT WORK
  • Culture of trust, empowerment and constructive feedback resulting in a positive and inspiring work atmosphere
  • An active AC&C community for analysts to exchange, learn, mentor and test new ideas.
  • Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices in Berlin, 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
  • Relocation assistance for internationals, PME family service and parent & child rooms* (*available only in select locations)

We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.
ABOUT ZALANDO LOUNGE
Zalando Lounge is an online shopping club for fashion and lifestyle products in 14 European countries. We offer our members daily, time-limited sale campaigns with discounts of up to 75% off the recommended retail price. However, Zalando Lounge is so much more than discounts. Our strength lies in our focus on fashion: from sought-after labels to niche brands, from famous international names to trendy luxury brands, we make sure to meet the fashion taste of all our customers, who are always on the hunt for the best products at the best prices. Working with our brand partners, we're pioneering innovative supply-chain and production processes and offer them an impactful and smart solution, creating a new way to shop for fashion - and a new way to sell it.

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