We are seeking a Senior Data Analyst to lead data quality, maintenance, and data import processes while helping advance the organization’s analytics capability. You will take ownership of SPARETECH's heart—the Golden Layer—by acquiring, importing, and maintaining spare parts product data to increase its value. You will ensure data accuracy and integrity, design and lead reporting and analytics frameworks, and deliver actionable insights to support business decision-making.
We offer you the opportunity to- Manage the acquisition, import, and maintenance of product data in SPARETECH's proprietary database while ensuring accuracy and quality.
- Conduct thorough quality checks on incoming catalogues and ensure high database integrity by investigating and resolving reported product issues in collaboration with the Data and Partner Management teams.
- Work collaboratively across teams to gather business requirements and lead the development of core data reporting and analytics that drive better decision-making throughout the organization.
- Take ownership of Product Data Management and Data Acquisition topics, constantly seeking opportunities to improve and optimize our existing structures.
- 5+ years of experience in data analysis, data management, or business intelligence roles.
- Experience developing analytics functions or data capabilities within a growing organization.
- Experience designing and implementing data quality checks and governance processes.
- Strong analytical, problem-solving, and communication skills.
- Proficiency in SQL and advanced Excel skills.
- Experience with Python or R for data analysis and automation.
- Familiarity with relational databases, non-relational databases and Metabase.
- Familiarity with data processing techniques and tools.
- Experience mentoring junior analysts and promote a data-driven culture across the organization.
- A remote-yes company, where you can decide every day whether you work from home, at our Stuttgart or Munich office, or at any Design Office in Germany.
- A permanent employment contract, 30 days of vacation, and the opportunity to participate in the company's success through our VSOP program.
- Modern hardware and the frame for a height-adjustable desk.
- An annual training budget of 1000 EURO for your professional development.
- In Germany: A subsidized job bike to escape city traffic and a Wellpass gym membership to stay active.
- A dynamic start-up atmosphere and an international team in which new ideas, creative approaches, and cooperation at eye level are valued.
- To enjoy Corporate Benefits, including discounts on fashion, travel, and much more from various companies.
SPARETECH's vision is to empower the zero-waste industrial sharing economy by enabling maintenance and procurement teams at manufacturing leaders like Bosch, Porsche, and Nestlé to reduce MRO spend and optimize inventory through accurate part information, internal transparency, and market visibility.
To achieve this, we have built, and continue to build, an AI-powered MRO software that connects all players in the spare parts ecosystem, from manufacturers and suppliers to the people working behind the machines. By facilitating the exchange of data, knowledge, and expertise, we create shared visibility that empowers smarter decisions, reduces waste, and drives seamless collaboration. This connected spare parts intelligence unlocks value that extends far beyond software.
Backed by Insight Partners, SPARETECH is accelerating its growth with a strong focus on product innovation and team excellence. We take pride in our inclusive and collaborative culture, as well as our energetic and committed team.
Skills Required
- 5+ years of experience in data analysis, data management, or business intelligence roles
- Experience developing analytics functions or data capabilities within a growing organization
- Experience designing and implementing data quality checks and governance processes
- Strong analytical, problem-solving, and communication skills
- Proficiency in SQL and advanced Excel skills
- Experience with Python or R for data analysis and automation
- Familiarity with relational and non-relational databases and Metabase
- Familiarity with data processing techniques and tools
- Experience mentoring junior analysts and promoting a data-driven culture
What We Do
SPARETECH is a SaaS platform that enables manufacturing companies to automate their spare parts management processes, reducing MRO spend and inventory through accurate part information and market visibility.
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