4 дня назад
Business Analyst, Delivery Promise
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Business Analyst, Delivery Promise (Supply Chain): Building and improving predictive Estimated Delivery Date models and End-to-End Total Cycle Time data infrastructure with an accent on delivery accuracy, operational analytics, and cross-functional process improvement. Focus on designing EDD models, analyzing delivery delays with SQL, Excel, and Power BI, and translating data insights into corrective measures across logistics, warehouse, transportation, and customer service operations.
Location: Berlin, Germany; hybrid work model
Company
is a Berlin-headquartered digital e-commerce platform for automotive aftermarket products operating across 27 European countries.
What you will do
- Design, build, test, and deploy predictive Estimated Delivery Date models focused on optimizing protection buffers across delivery regions.
- Collaborate with Data Science, Logistics, and IT teams to integrate EDD models into existing systems and refine them using operational feedback.
- Monitor EDD accuracy and End-to-End Total Cycle Time through dashboards, trend analysis, KPI reporting, and root-cause categorization of delivery delays.
- Identify operational inefficiencies and implement data-driven solutions that improve delivery reliability and cycle-time performance.
- Coordinate with Operations, Supply Chain, Customer Service, Vendor Operations, warehouse teams, and last-mile transportation stakeholders.
- Act as the point of contact for EDD and cycle-time performance, translating data into business insights and corrective actions.
Requirements
- At least 3 years of professional experience in data analytics, preferably in Supply Chain, Logistics, or Operations.
- Bachelor’s degree in Supply Chain Management, Data Science, Engineering, or a related quantitative discipline.
- Proficiency in SQL, Excel, and Power BI for data extraction, manipulation, visualization, and reporting.
- Experience with KPI monitoring, root-cause analysis, data-driven process optimization, cross-functional collaboration, and stakeholder management.
- Full professional proficiency in English, written and verbal, is mandatory.
Nice to have
- Knowledge of Python or R, ML orchestration, or cloud data warehouse environments such as Snowflake or BigQuery.
- German, Czech, Polish, or Russian language skills.
Culture & Benefits
- Flexible working hours and a hybrid work model.
- 30 calendar days of annual vacation plus one additional birthday day off.
- Mental Wellbeing Program and company pension scheme.
- Learning and Development opportunities with more than 650 soft- and hard-skills courses.
- Corporate Discount.
- Free English and German language classes after the probation period.
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