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?

This role is responsible for designing, building, and owning TeamViewer’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 RevOps, 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.

Responsibilities

Data Architecture & Analytics Engineering

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

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 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

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 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

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 spreadsheet‑based workflows through engineering solutions

Enable downstream use cases such as forecasting models, anomaly detection, and AI‑driven 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 hands‑on 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

7–10+ 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 SQL‑based 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 long‑term architectural integrity

Clear, pragmatic communication with technical and non‑technical stakeholders

Preferred Qualifications

Background in Analytics Engineering (dbt‑style modeling approaches)

Experience supporting revenue forecasting or financial reporting models

Experience operating in multi‑region SaaS environments

Exposure to AI‑enabled analytics or ML‑ready 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.

Senior Data Analytics & Reporting Manager (f/m/x)

Benefits

Job Description