Senior Analytics Engineer Finance · Porto ·
TeamViewer · Hybrid
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.
Responsibilities
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
Requirements
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
Nice to Have
Hands-on experience with dbt or similar transformation frameworks
Experience with cloud data warehouses (BigQuery, Redshift)
Familiarity with BI tools such as Looker or Tableau
Experience working with version control systems like Git
What we offer
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 opportu