Head of Business Intelligence

at  AUTODOC

WHERE YOUR EXPERTISE IS NEEDED

AUTODOC is a technology company with a leading e-commerce platform for vehicle parts and accessories in Europe. Founded in 2008 in Berlin, we are now 5,000 people from 68 nationalities, collaborating to make mobility easy and sustainable. By placing technology at the core of everything we do, we manage to serve customers in 27 European countries in 23 languages. Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue. Catch the ride!

JOB QUALIFICATIONS:

• Bachelor’s or Master’s degree in Data Science, Business Analytics, Computer Science, or a related field.
• At least 5-7 years of experience in a leadership role within data analytics or business intelligence.
• Proven leadership skills with experience managing a sizeable team of data professionals.
• Strong background in data analytics, business intelligence, or a related field, with hands-on experience in developing reporting systems, dashboards, and predictive models.
• Demonstrated success in using analytics to drive business improvement, ideally within the supply chain or e-commerce sectors.
• Excellent understanding of data management, analytics, and business intelligence best practices.
• Demonstrated ability to translate complex data into actionable business insights.
• Demonstrated leadership using statistical analysis and research to drive positive change in a business setting, including working and conceptual knowledge of data structures, algorithms, statistics, machine learning, and programming
• Desire to remain on the cutting-edge, smartly implementing innovative solutions from Generative AI, bots, NLP, data visualization, geospatial analytics, etc.
• Certification from Controller Akademie or similar institution is a plus.
• Experience in e-commerce and/or the automotive spare parts industry is a plus

LANGUAGE SKILLS:

• Fluent English (C1/C2)
• Fluent Russian (C1/C2)

• Shape the analytics strategy, implement best practices, and leverage cutting-edge technologies to enhance business performance
• Serve as the day-to-day leader of the Enterprise Analytics team providing data science support to key business partners and executives in a consulting model
• Lead, motivate, and manage a team of 20 (with potential to grow to 40) data analysts, engineers, and scientists to achieve excellence in data analytics and business intelligence.
• Develop and implement advanced analytics, reporting dashboards, and data-based solutions to drive business efficiency, particularly within the supply chain network.
• Foster a culture of continuous learning and development within the team, ensuring upskilling and adoption of the latest in analytics and business intelligence methodologies.
• Collaborate closely with senior management to identify opportunities for leveraging data to drive business solutions.
• Initiate and lead projects to provide data-backed insights and recommendations for strategic decisions, focusing on improving supply chain efficiency and overall business performance.