Data Analyst - German

As a Data Analyst (Bi-lingual German) at Numerator, you will play a crucial role in enhancing our extensive database of products. Utilizing our specialized platform, you will be responsible for accurately matching real-world products with their respective brands and categories. Your contributions will be pivotal in maintaining the various data categories that our clients rely on for valuable insights to address their business needs. While prior data entry experience is advantageous, we welcome candidates who exhibit the right attitude, drive, and eagerness to learn. We prioritize qualities such as cooperation, flexibility, and a willingness to assist the team with diverse projects and tasks. Your responsibilities will include working efficiently on multiple projects within your designated vertical, ranging from small/medium businesses to consumer packaged goods and retail sectors. You will be tasked with matching items from shopping receipts and online platforms to their corresponding brands and product categories. Researching brands and specific products online to gather essential data and insights will also be a key aspect of your role. Furthermore, you will be instrumental in upholding data integrity by ensuring accurate entries are made into our platform. Meeting deadlines communicated by your vertical leader to support our services teams will be essential. The shift timing for this role is from 11:00 AM to 8:00 PM, five days a week. To excel in this position, you must possess the following qualifications: - Proficiency in both German and English languages - A bachelor's degree - Self-motivation and exceptional organizational abilities - Basic proficiency in Excel - Strong written and verbal communication skills - Detail-oriented mindset with the ability to work independently If you are looking to be part of a team that is revolutionizing the market research industry and eager to leverage your skills to drive impactful outcomes, Numerator welcomes your application. Join us in reshaping the landscape of market intelligence together.,