Senior Manager GTM Data Analytics & Engineering
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Job Summary
TeamViewer provides a leading Digital Workplace platform that connects people with technologyenabling 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 645000 customers across all industries rely on. With more than 1900 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 TeamViewers 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 selfservice analytics. You will lead a small team of data analysts and work together with cross-functional data engineering resources to operate handson in architecture and implementation.
This role sits at the intersection of Data Engineering Data Analytics and RevOps with a strong emphasis on building durable systems over oneoff reporting. The right candidate is a player/coach with the ability to design required changes and coach/train others to implement them.
Responsibilities
Data Architecture & Analytics Engineering
Design and own the endtoend GTM data architecture from source systems through transformation layers to BI consumption
Build and maintain scalable data models that support fullfunnel 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 welldocumented
Partner with central data and engineering teams where applicable to align with broader architecture standards
Revenue & GTM Data Modeling
Own the canonical data models for Marketing Sales Pipeline Revenue Retention and Expansion
Translate business processes into durable analytical schemas rather than reportspecific 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 forwardlooking analysis
BI Enablement & Semantic Layer
Define how transformed data is exposed to BI tools such as Power BI and Tableau
Build and maintain a governed semantic layer to enable selfservice analytics
Ensure dashboards are powered by consistent reusable data models rather than embedded logic
Reduce duplication manual calculations and adhoc reporting debt across the organization
Ensure seamless reconciliation capability between ERP & CRM data managed through BI
Data Quality Governance & Reliability
Establish data quality checks validation rules and reconciliation processes
Own metric governance in partnership with RevOps and Finance
Implement documentation change control and versioning for core datasets
Act as a point of accountability for GTM data correctness and consistency
Automation & Advanced Analytics Enablement
Eliminate manual reporting and spreadsheetbased workflows through engineering solutions
Enable downstream use cases such as forecasting models anomaly detection and AIdriven insights
Ensure data structures are suitable for experimentation and advanced analytics
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 handson delivery with team growth and backlog prioritization
Build strong collaboration with RevOps Finance IT and central Data teams
Stakeholder Partnership
Work closely with GTM and Finance leaders to translate analytical needs into data architecture decisions
Provide technical guidance on what is feasible scalable and sustainable
Support executive reporting by ensuring the underlying data foundation is sound
Experience
710 years experience in data engineering analytics engineering or advanced BI roles
Proven experience designing and maintaining analytical data architectures including data cube/data warehousing setup
Experience owning SQLbased transformation layers and data models at scale
Experience integrating multiple SaaS systems & tools into a unified analytical environment
Experience working with GTM revenue or commercial data in a SaaS business with appropriate commercial acumen capable of understanding the key drivers & priorities of different GTM teams inlcuding Marketing Sales Customer Success Renewals etc.
Experience leading & coaching technical analytics or data teams for both career development and big-picture understanding
Required Skills
Advanced SQL and data modeling expertise
Strong understanding of ELT/ETL concepts and pipeline reliability
Experience working with modern analytics stacks and cloud data platforms
Strong understanding of revenue and GTM data structures
Ability to balance business requirements with longterm architectural integrity
Clear pragmatic communication with technical and nontechnical stakeholders
Preferred Qualifications
Background in Analytics Engineering (dbtstyle modeling approaches)
Experience supporting revenue forecasting or financial reporting models
Experience operating in multiregion SaaS environments
Exposure to AIenabled analytics or MLready data architectures
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
We celebrate diversity as one of core values join and drive one of the c-a-r-e initiatives together with us!
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.
