We are the data office behind beauty.
For us beauty is to collect, analyze and interpret first-party data assets, so we can help amplify Douglas’ transformation to a data-first organization.
This means we have the platforms, people, and structure to deliver data and insights in a scalable, secure, and smart way.
We connect all relevant stakeholders and teams to help create a data driven organization. Our team processes data with python and R and builds artificial intelligence insights to answer a wide variety of business questions. We use various tools to do so – from predictive modelling, machine learning, customer clustering, consulting based on web and CRM analytics, designing ETL pipelines, managing Tableau as a widespread standard self-service tool, to improving our Shiny App Portfolio.
Our data engineers ensure that the data pipeline works, and our data warehouse steadily grows. Our data scientists are primarily involved in the development of new services and products in order to develop new solutions for our customers and colleagues.
At Douglas, we consider first-party data to be a valuable asset, as it gives us a competitive edge and increases the company’s profitability. We are curious and data-savvy people, excited about big data and adding value to the business – for us, that’s THE CODE BEHIND BEAUTY.
TOOL & TECHNOLOGY STACK
AZURE // ADJUST // SIMILARWEB // AZURE SYNAPSE ANALYTICS // TABLEAU // TEALIUM // FIVETRAN // SNOWFLAKE // GOOGLE HUB // ADOBE ANALYTICS // R // PYTHON // DREMIO // SQL // MICROSTRATEGY // ADJUST // GOOGLE ADS // ADOBE AUDIENCE MANAGER // POWER BI
Jonas Rashedi // Director Data Intelligence & Technologies
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