Senior Analytics Engineer

TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.

We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?

Join our BI team and help us shape the business decisions and processes of TeamViewer based on the data of our customers experience, engagement and products usage. You will work with our BI platform team with the BI data science unit . You will build and maintain scalable, high-quality analytical data products that power decision-making across the company. You will enable teams through reliable data models, standardized metrics, and strong data quality, working on large-scale datasets for a global product used by billions of users worldwide. 

• Maintain and improve data applications that optimize various business processes 

• Act as a key interface between platform analytics and data consumers, understanding their needs and translating them into reusable data assets 

• Ensure data quality, reliability, and freshness through testing, monitoring, and validation 

• Design and maintain standardized business metrics and KPIs to analyze trends, identify issues, and measure performance across key company activities 

• Optimize data warehouse pipelines and processes to efficiently handle large-scale datasets for a product used by 2+ billion users worldwide 

• Diagnose and resolve data issues and outages, participate in on-call rotations, contribute to post-mortems, and proactively suggest improvements to engineering excellence 

• University degree in Computer Science, Mathematics, Statistics, Information Systems, or equivalent practical experience with a strong data focus 

• 3 - 5 years of relevant professional experience in Data, Analytics, or Engineering roles 

• Strong SQL expertise, including writing complex and performant queries 

• Basic knowledge of Python for data processing or automation 

• Hands-on experience delivering data handling and analysis projects 

• Familiarity with modern software engineering practices applied to data, including testing, modularity, and code reviews 

• Strong problem-solving skills and high motivation to tackle complex challenges collaboratively 

• Ability to communicate effectively with non-technical stakeholders 

• Fluency in English with strong communication skills 

• Onsite Onboarding in our HQ office for an optimal start

• Great compensation and benefits packages including company achievement bonus or sales bonus, company stocks and regular salary reviews

• Premiums for the private pension plan (BAV) up to the maximum amount are topped up by TeamViewer

• Public transport friendly offices

• Option to lease an e-bike (Germany only)

• Special terms for local gyms

• Access to Corporate Benefits platform with many discounts

• Regular Team events and company-wide celebrations

• Open door policy, no dress code rules, frequent all Hands and Leadership Lunches

• Hybrid and Flexible work time with up to 50% home office

• Work From Abroad Program allowing up to 40 days of work outside your contracting country

TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.

If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.