Data Analyst – Forecasting

Role Overview

The forecasting team is responsible for analysing trends and forecasting the demand for the organisation, providing analytical support to our customer care operations functions. As a Data Analyst for Forecasting, you will act as the bridge between deep technical modeling and strategic business ownership, ensuring our operational teams have the exact forecast they need to succeed.

What You Will Do

Predict and analyze expected contact volumes for internal teams and outsourcing partners, directly driving capacity planning across a large-scale, multi-site customer care network. Build and optimize models, design experiments, and empower stakeholders.

Why It Might Be a Fit

We’re looking for a blend of technical capability, analytical mindset, and business pragmatism. Advanced Analytics, Programming & Infrastructure, Data Pipelines & Visualization, Pragmatic Problem-Solving, Relevant Background, and Communication skills are required.

Requirements

• Advanced Analytics: Hands-on experience with predictive algorithms and time-series forecasting using state-of-the-art machine learning.
• Programming & Infrastructure: Strong proficiency in Python and SQL is a must.
• Data Pipelines & Visualization: Experience defining data tracking requirements, building simple ETLs, and designing dashboards using modern BI tools.
• Pragmatic Problem-Solving: You know exactly when to build a complex ML pipeline and when a simple spreadsheet calculation is the smartest, fastest path forward.
• Relevant Background: Proven professional experience as a Data Analyst, Business Analyst, Data Scientist, or Time-Series Forecasting Specialist with a strong technical background.
• Communication: Excellent English communication skills with the ability to thrive in an intercultural environment and clearly explain technical forecasting concepts to business stakeholders.

Benefits

• 27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
• 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
• Family support, including counselling and dedicated services for parents and carers
• Company pension scheme
• Employee shares programme
• Health and wellbeing options, including Wellhub
• Mental health support and coaching
• Development through our training platform and biannual peer-to-peer review
• 2 paid volunteering days a year
• Relocation assistance (subject to prior agreement)

Tagged as: Data Analysis, Excel, Forecasting, Python, SQL