Data Analyst - Forecasting

About the role

Zalando's workforce management department in Berlin supports its customer care operations through strategic capacity planning and accurate staffing. The forecasting team analyses trends and forecasts demand for the organisation, and as a Data Analyst for Forecasting you will bridge technical modelling and business needs so that operational teams get the right forecasts.

Key responsibilities

• Predict and analyse expected contact volumes for internal teams and outsourcing partners, driving capacity planning across a large, multi-site customer care network
• Perform deep statistical analyses and use machine learning to improve the accuracy, reliability and explainability of time-series forecasting models
• Create research and experimentation plans, choosing the right methods and metrics to extract insights from customer service demand data
• Design, maintain and expand the reporting and data visualisation portfolio for management and operational leaders
• Translate complex business challenges into robust analytical approaches

Required profile

• Proven experience as a Data Analyst, Business Analyst, Data Scientist or Time-Series Forecasting Specialist with a strong technical background
• A degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science or Business) is preferred
• Excellent English and the ability to explain technical forecasting concepts to business stakeholders

Required skills

• Advanced analytics: predictive algorithms, time-series forecasting and machine learning; driver analysis, anomaly detection and simulation are a strong plus
• Python and SQL are essential
• Databricks, GitHub (CI/CD), MLOps, AWS and AI-assisted coding tools are a plus
• Data pipelines and dashboards with BI tools such as MicroStrategy, Looker, PowerBI or Tableau

What we offer

• 27 days of holiday at the start, rising to 30 days
• Discounts on Zalando fashion and beauty products and Lounge by Zalando
• Family support, company pension scheme and employee shares programme
• Wellness options, mental health support and coaching
• Training platform, biannual peer reviews and two paid volunteering days a year
• Relocation assistance, subject to prior agreement