Lean cloud-based data architecture.
Data Products · BI · Modeling · DWH · ETL · Tracking
We listen and we challenge. Working with our customers, we have seen things that work and that do not work, both organizationally and technically. As consultants, we see it as one of our most important tasks to challenge our customers' data systems and their data strategies. Nevertheless, we do listen and learn. We strive to partner with our customers on an equal footing and understand their business as part of their team. We use our knowledge to tailor the strategy and technical solutions to the exact needs and challenges of our common project.
"How can we become data driven?" and "How can we leverage the potential of our data?" are common questions our customers ask. With our efficient Data Thinking process we define a lean and outcome-oriented route to use data to drive growth and value.
We translate Data to Insights and to Decisions. We understand business as well as technology and make sure the data is modeled and interpreted in the right way to support business decisions. We enable self-analytics through Business Intelligence tools or deep dive into data to search for hidden insights and correlations.
We have thorough experience in building modern, performant, scalable, efficient and lean cloud infrastructure for big- and mid-sized data products serving enterprise to startup customers.
Product Manager C2C, mobile.de
Head of Marketing, Novogenia
We are advocates of the the modern data stack. Cloud-based data warehouse, SaaS before custom ETL, version controlled data modeling, unified metrics layer, lean BI setup. We are versatile in the tools we and our customers are using. Here a collection of tools that we find beneficial for most data cases.
The 9 friendly white rabbits are a data & analytics agency and consultancy supporting customers from Enterprises to Startups building their data stacks.
In Data Engineering we support in SaaS ETL Tools like Fivetran, Supermetrics or Custom ETL using Airflow, Cloudfunctions, AWS Lambda functions, Cloud Run. We set up Big Data Infrastructure on Google Cloud, Amazon Web Services (AWS), Docker, Kubernetes and support in Data Warehouse Setups with Google BigQuery, Snowflake, Hadoop, SparkSQL, Databricks.
In Analytics, data modeling and Data Governance we use SQL, dbt, dataform and git, visualizing data with business intelligence tools like Tableau, PowerBI, Looker and Looker Studio as well as offering deep dives and data science projects in R, python, Jupyter and pandas.
Our team consists of highly skilled individuals with strong academic backgrounds in engineering, computer science, and physics. We are not just analysts; we are problem-solvers, combining our deep knowledge with practical experience gained across various sectors including retail, mobility, SaaS and biotech. We are driven by a passion for continuous learning, always seeking out the latest methods and technologies to help our clients stay ahead in their industries.
Our strength lies in our ability to adapt and tailor our approach to each client's unique needs and use cases. We are well-versed in modern cloud-based data stacks and keep ourselves at the cutting-edge of technological advancements. Unlike many, we don't just follow 'the book'; we believe that every problem is unique and requires a customized solution.
We are not just invested in providing data solutions; we aim to understand your business, to provide solutions that drive real value. We are more than consultants; we are your partners in navigating the data-driven landscape.
Thomas founded 9 friendly white rabbits in 2016 after consulting companies in data & analytics as freelancer. Thomas has experience with data-driven online marketing, product analytics, conversion optimization and A/B testing, strategic consulting on KPIs, data models and data stacks, as well as performing detailed analysis in R and SQL.
Vinzenz sets up ETL / Data Integration systems for our customers. He has experience with Python, Airflow, BigQuery, dbt and dataform.
Eduardo supports our clients in the area of data analysis, tracking and data warehouse. He has experience in data modeling in SQL as well as setting up dashboards in Google Data Studio and Looker, in R and Python for adhoc analysis, and in setting up Google Analytics and Google Tag Manager.
Jacob advises our clients on data analytics, tracking, data warehousing. He has experience in setting up Google Analytics, A/B Testing and GTM, data modeling in SQL and setting up dashboards in Google Data Studio, Looker and Tableau, as well as in R and Python for adhoc analysis and machine learning.
Carlos supports our customers in setting up data solutions in the Google Cloud (GCP) He has experience with the different services of the GCP, as well as their configuration, rights management and their connections.
We are always looking for people to join our teamOpen positions