Data Operations Manager

February 21

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Logo of Sparrow.Parts

Sparrow.Parts

Sparrow. Parts is transforming industrial spare parts management, aiming to cut the global $1 trillion stock by reducing overstock and waste, making customers more economical and sustainable. This innovative approach to spare parts management fosters sustainability in industrial settings and enhances operational efficiency.

11 - 50 employees

☁️ SaaS

📋 Description

• Understanding, structuring and cleaning data (semi-)automatically. • Troubleshooting data issues in customer and internal catalogues. • Customer focused - every step of the way. • Optional - Experience with industrial spare parts processes. • Preparing incoming data from our customers for our different products. • Quality assuring for customer data cleaned by our algorithms. • Processing and managing data catalogues from different sources. • Working tightly with our data engineers to improve quality of internal catalogues. • Preparing benchmarks and help train machine learning algorithms used in data processing tools.

🎯 Requirements

• Technical knowledge and interest is a big plus: e.g. you know what a driving belt or a proximity sensor is. • You have a basic knowledge of SQL and/or scripting, likely Python or similar languages. • You have a good command of spreadsheet software (Excel, Google Sheets). • You are able to learn how to work with new tools quickly. • You communicate well in English, German knowledge is a plus. • Analytical and data driven – you believe in magic only if it fits in an Excel formula. • Relentless – you stop dancing 2 hours after the party has ended. • Brutally honest – you can’t help but say what you think. • Long term thinker – you appreciate that great things take time to build. • Entrepreneurial mindset – you find opportunities everywhere.

🏖️ Benefits

• Diverse tasks: from database investigations through Excel wizardry up to managing own data projects with new challenges around every corner. • Remote work: we are extremely flexible and open to any working pattern that can adjust to Berlin timezone -/+ 2hrs. • Your work directly impacts the company’s success. • Working with a small and strong team where every voice counts. • Professional development through coaching and mentoring.

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