Senior Data Analyst
A11
Required skills
About the role
Translated into English from German by Korum. The employer's original wording is on their site.
A11 is the execution-driven growth engine behind Europe's leading tech unicorns such as Trade Republic, Sennder and Kry. We are a SWAT team for business performance with expertise in Marketing, Sales, Data, Tech and People Ops. With more than 100 international experts, we tackle complex challenges in business and technology in a targeted way. Whether it's product launches in record time or the transformation of entire business models - we deliver measurable impact.
The PositionReady to build and scale? At A11 we believe that execution matters more than theory. We are looking for an experienced Data Analyst (m/f/d) to strengthen our Analytics team at A11.
The goal of our daily work is to create value from data for our partners and clients. In this role you will support and advise external and internal stakeholders on all data-related topics.
Together with our Data Engineering team, you will help unlock these opportunities.
- Advising our clients on data initiatives: from identifying strategically relevant topics to operational implementation, for a data-driven understanding of the business
- Deriving recommendations for action and project plans from data, communicated convincingly to (senior) stakeholders on the client and internal side
- Coordination and technical guidance of Data Engineering & Science in data warehousing, ML and AI projects
- Further development of consistent tracking and data collection (client-side and server-side) as well as a unified, client-specific data infrastructure
- Provision and activation of data for business decisions in close collaboration with our clients
- Several years of professional experience in data analytics - ideally in a dynamic environment, where a background in consulting or in an agency is an advantage
- A high level of emotional intelligence to build and maintain meaningful relationships with (senior) stakeholders
- Solid experience in at least one specialist data area (e.g. marketing analytics, product analytics, data governance, customer analytics)
- Proficient use of data analysis and modelling tools, including SQL / dbt
- Expertise in at least one area of MDS: data collection (Google Tag Manager, Segment), data integration (Fivetran, Airbyte), databases (Snowflake, BigQuery), data modelling (dbt, DataForm) & activation (Looker, Metabase, PowerBI, Census)
- Fluency in German and English is a must
Please note that we are looking for support in our Berlin office.
Why you should choose A11:- Shape the future of innovation: Take the lead on groundbreaking projects across a variety of companies and regions. You will have a real impact through our strategic and hands-on way of working.
- Work with an international team of digital natives: Discover new opportunities to learn, contribute and thrive in a dynamic, multicultural environment. Our team comprises more than 25 nationalities and brings experience across a wide range of companies and industries.
- Career development: We support your growth in any direction - whether you want to deepen your expertise, lead a department or explore new areas.
- Embrace change and new technologies: We actively try out new tools and AI features to optimise our workflows and processes, and give you creative freedom and autonomy to achieve your goals.
- Exchange and discovery: From shared meals with the team to entertaining offsites and regular meetups - you will build lasting connections through regular events and dynamic knowledge-sharing opportunities.
If you are motivated to make a real impact and deliver results, we would love to get to know you!
We are committed to diversity and inclusionA11 is committed to diversity and equal opportunity, which applies equally to our employees and candidates.
We value people with all their diverse backgrounds, perspectives and experiences. Our diverse team has different ethnic and cultural backgrounds, gender identities, sexual orientations, family situations, religious and political affiliations, socioeconomic statuses, age groups and abilities.
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