Data Manager

REPA is Europe's leading distributor of spare parts for foodservice and refrigeration equipment, coffee and vending machines, and a trusted partner to OEMs, delivering the right part at the right time.

With the world's largest inventory of in-stock original and universal spare parts, consumables and accessories, and a state-of-the-art network of automated fulfillment centers across Europe and beyond, REPA ensures the fastest delivery times in the industry.

AI-powered tools, 360° images, detailed exploded views, technical manuals and other search features available on its eCommerce platform and mobile app make part identification and ordering seamless. A team of industry experts speaking more than 20 languages helps customers find the perfect solution for every repair.

With REPA, keeping foodservice equipment running at its best every day has never been easier.

REPA is the European division of Parts Town Unlimited

As a Data Manager, you will play a key role in managing and processing large volumes of data, ensuring accuracy, consistency, and timely delivery. Your primary focus will be on OEM-related datasets, supporting fast and high-quality implementation of partnership agreements. You will collaborate closely with internal stakeholders across departments to gather requirements, validate data, and deliver actionable insights that drive business success.

Key Responsibilities:

• Analyze, validate, and maintain large datasets to ensure accuracy and completeness.
• Perform data quality checks and resolve inconsistencies proactively.
• Manage mass data activities, including updating and implementing product data in enterprise software solutions.
• Support data integration projects for OEM partnerships.
• Work closely with cross-functional teams to understand data requirements and deliver solutions aligned with business needs.
• Act as a liaison between technical teams and business experts to ensure smooth data workflows.

• Bachelor’s degree in Computer Engineering, Data Science, Business Analytics, or related field.
• 3+ years of experience in data analysis, data management, or similar roles.
• Familiarity with SQL, relational databases, and data modeling concepts.
• Proficiency in MS Office; experience with Python is a plus.
• Exposure to project management and cross-functional collaboration.
• Fluent in English and Italian (verbal and written).
• Practical, hands-on problem-solving mindset.
• Clear and direct communication skills.
• Team player with the ability to work independently and manage priorities.

If you decide to join us, you will find an informal and positive atmosphere within a dynamic, international environment. You will benefit from flexible working hours, the possibility to work remotely, and access to our on-site canteen, helping you balance your career and personal life. Every day, you will have the opportunity to collaborate with colleagues from different nationalities, enriching your professional journey.