Senior Data Analytics & Reporting Manager; f​/m​/x

Team Viewer 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?

This role is responsible for designing, building, and owning Team Viewer’s Revenue data architecture and analytics engineering layer. The focus is on creating a scalable, reliable data foundation that supports GTM reporting, forecasting, and advanced analytics across Marketing, Sales, Customer Experience, and Finance.

Rather than primarily producing reports, this role owns how GTM data is ingested, transformed, modeled, and served. From the architecture level, you will define the data models, pipelines, and governance that power executive reporting and self‑service analytics. You will lead a small team of data analysts and work together with cross‑functional data engineering resources, to operate hands‑on in architecture and implementation.

This role sits at the intersection of Data Engineering, Data Analytics, and Rev Ops, with a strong emphasis on building durable systems over one‑off reporting. The right candidate is a player/coach with the ability to design required changes and coach/train others to implement them.

• Design and own the end‑to‑end GTM data architecture, from source systems through transformation layers to BI consumption
• Build and maintain scalable data models that support full‑funnel and revenue analytics
• Develop and manage ELT/ETL pipelines integrating CRM, Marketing Automation, Finance, and Customer platforms
• Ensure data pipelines are reliable, monitored, performant, and well‑documented
• Partner with central data and engineering teams where applicable to align with broader architecture standards

• Own the canonical data models for Marketing, Sales, Pipeline, Revenue, Retention, and Expansion
• Translate business processes into durable analytical schemas rather than report‑specific logic
• Standardize event, object, and metric definitions across systems
• Support complex revenue use cases such as lead attribution, forecasting, cohort analysis, funnel conversion, and lifecycle reporting
• Ensure data models support both historical accuracy and forward‑looking analysis

• Define how transformed data is exposed to BI tools such as Power BI and Tableau
• Build and maintain a governed semantic layer to enable self‑service analytics
• Ensure dashboards are powered by consistent, reusable data models rather than embedded logic
• Reduce duplication, manual calculations, and ad‑hoc reporting debt across the organization
• Ensure seamless reconciliation capability between ERP & CRM data, managed through BI

• Establish data quality checks, validation rules, and reconciliation processes
• Own metric governance in partnership with Rev Ops and Finance
• Implement documentation, change control, and versioning for core datasets
• Act as a point of accountability for GTM data correctness and consistency

• Eliminate manual reporting and spreadsheet‑based workflows through engineering solutions
• Enable downstream use cases such as forecasting models, anomaly detection, and AI‑driven insights Team Leadership
  • Lead and develop a small team of analytics engineers and senior analysts
  • Set engineering standards for data modeling, pipeline development, testing, and documentation
  • Balance hands‑on delivery with team growth and backlog prioritization
  • Build strong collaboration with Rev Ops, Finance, IT, and central Data teams
  Stakeholder Partnership
  • Work closely with GTM and Finance leaders…