Senior Data Analyst

DeepL, Europe's leading AI company since 2009, is dedicated to breaking down language barriers and bringing cultures closer together. Our expertise in AI and neural networks has enabled us to create cutting-edge communication technologies for businesses, including the acclaimed DeepL Translator which offers 30+ languages, and DeepL Write, our AI writing companion. Our core offering includes a suite of products and tools made for businesses to communicate more effectively, both internally and with their customers around the globe.

Our goal is to become the global leader in Language AI and build products that help drive better communication, drive connection, and make real-life impact. To do that, we need talented people, like you, who want to be a part of this exciting journey. If you're ready to work with a dynamic team and build your career in the fast-moving AI space, DeepL is your next destination.

What sets us apart

We are committed to innovation and to a nurturing work environment. Founded by developers and researchers, we spend a lot of time actively reviewing the latest trends in generative AI and software engineering. Known for pioneering AI technologies, we dive deep into cutting-edge research to create not only translations, but advanced language solutions. Combining our use of modern technology, comprehensive employee benefits with our open and welcoming work culture is what sets us apart.

When we tell people about DeepL as an employer, the reactions are overwhelmingly positive. Maybe it's because of the products that have helped countless people worldwide, or maybe it's because of our shared goal of improving communication for individuals and businesses worldwide. What we're certain of is this: being part of DeepL means joining a team committed to innovation and the well-being of its employees.

Meet the team behind this journey

DeepL is on a journey to strengthen our data culture and be more data-driven in our decision making, across the entire revenue organisation. This role will be a steward of our data culture: helping educate others to be self-sufficient and establishing best practices that help us scale.

The Senior Revenue Analyst will develop and maintain solutions (reports, visualisations, dashboards) to bring attention to our key metrics (KPIs/OKRs) and surface insights that align with DeepL’s business strategy and vision. The Analyst will be responsible for the design, development, testing, implementation, maintenance, and security of solutions, to ensure timely and accurate outputs that inform data-driven decisions.

The Analyst will work closely with our Revenue Leaders, Sales Operations, Marketing Operations, Finance, and Business Technology teams. They will work cross-functionally to ensure that we have a defined source of truth and are aligned on the metrics that we report across the business. The primary focus will be to establish a rhythm of business cadence for our leadership team, and provide operational reports so that our Sales and Marketing leaders can run a high-performing business with confidence.

Requirements

Your responsibilities

• Analyze data, build and maintain various dashboards to support our Sales and Marketing functions (forecasting, pipeline generation, conversion, etc)
• Collaborate with team members to collect business requirements, define successful outcomes, and design beautiful dashboards
• Partner with Finance during our annual planning cycle to analyse the business and set meaningful targets (budget, headcount, ARR, retention rates, etc)
• Conduct ad hoc analysis and special projects as assigned by management
• Evaluate sales compensation plans and incentives to ensure alignment with company goals and objectives; ensure sales bookings data is reported accurately and timely each month to meet critical monthly commission payout deadlines
• Assist in the development and implementation of sales strategies and initiatives to drive revenue growth
• Stay updated on industry trends, market dynamics, and competitor activities to inform sales strategies and tactics
• Partner with Business Technology teams to assist in developing dashboards that drive data-based decision-making. Collaborate on data science projects that inform our long-term thinking
• Convert and validate raw data into clear, meaningful information and tell a story by creatively displaying details in charts, graphs, and slides.
• Validate and ensure data accuracy from various data sources in various forms (Salesforce, Hubspot, and proprietary systems)
• Communicate dashboards to stakeholders/teams to promote data access and confidence; maintain an open feedback loop for continuous improvement to meet u