Senior Data Analyst | Sales

is Germany's best-known AI company. We develop neural networks to help people work with language. With DeepL Translator, we have created the world's best machine translation system and made it available free of charge to everyone online. Over the next few years, we aim to make DeepL the world's leading language technology company.

Our goal is to overcome language barriers and bring cultures closer together.

What distinguishes us from other companies?

DeepL (formerly Linguee) was founded by developers and researchers. We focus on the development of new, exciting products, which is why we spend a lot of time actively researching the latest topics. We understand the challenges of developing new products and try to meet them with an agile and dynamic way of working. Our work culture is very open because we want our employees to feel comfortable. In our daily work we use modern technologies - not only to translate texts, but also to create the world's best dictionaries, and solve other language problems.

When we tell people about DeepL as an employer, reactions are overwhelmingly positive. Maybe it's because they have enjoyed our services, or maybe they just want to get on board with our quest to break down language barriers and facilitate communication.

Your Choice

We are constantly looking for outstanding employees! Currently, we offer remote work in Germany, the Netherlands, the UK and Poland. Whether you would like to work from home in one of these countries or from one of our offices in Cologne, London or Amsterdam: the choice is yours. No matter where you choose to work from, our way of working is designed to make you an essential part of the team.

What will you be doing at DeepL?

You will be part of the highly motivated track of teams that supports DeepL’s go-to-market initiatives and strategy. Our growing track is a cross-functional mix of data specialists and software engineers. Our job is to create value from the vast amount of data that we gather from our more than 100 million users and numerous customers. By doing so, we aim to make a significant impact on building the best possible translation experience and overcome language barriers.
Within the track, you will be part of either the Revenue Intelligence or Marketing Technology and Data teams. These are cross-functional teams that aim to:

• build the data layer and tools that supports data self-service for Commercial Teams, including those in Marketing and Sales
• contribute to the growth of DeepL's B2B strategy with data insights
• contribute to the creation of a data driven culture in Commercial teams

Your stakeholders will be Commercial teams. You will play a pivotal role, whereby by being involved in the day to day activities of your stakeholders, you will be in the unique position to contribute to the creation of a data driven culture within those teams. You will help guide your team to align its outputs to the needs of your stakeholders.
Your role will involve large amounts of stakeholder management and great communication skills. We expect your typical deliverables to be data analyses, reports and presentations summarising analysis and insights, dashboards or other visualisations that communicate key insights and data trends, recommendations for improving business processes and workflows. We expect that you will play a key role in defining and tracking KPIs and metrics. 

Requirements

Your responsibilities

• Analyse (often large volumes of) data to generate actionable insights or uncover business opportunities
• Act as a liaison between the stakeholders you support and the rest of the Commercial Analytics team, facilitating effective communication and collaboration
• Collaborate with stakeholders from multiple teams to identify business opportunities, needs, requirements, and proposed solutions
• Assist the Commercial Analytics team in adapting their strategy and improving products, such as data tables, models, self-service tools, or processes, to align with business needs
• Enhance data literacy within the teams of stakeholders you support by providing guidance, training, and support in effectively using data for decision-making
• Contribute to defining the goals of the stakeholders you support by providing data analyses, insights, and supporting strategic decisions with data
• Support day-to-day needs and initiatives of the stakeholders by providing data-driven insights, identifying business opportunities, and evaluating initiatives
• Help prioritise and evaluate initiatives by conducting thorough data analysis and providing relevant information to stakeholders
• Assist in developing documentation, processes, and tools that enable stake