Baqend Gmbh
Baqend Gmbh

(Senior) Data Product & Visualization Analyst - Remote or Hamburg

productfull-timeWorldwide
SALARY
Not specified
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
general
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About the role

Headquarters: Hamburg About Baqend Slow websites suck! Of 3.5 hours you spend online each day, 20 minutes are wasted waiting for websites to load. In your life, you will waste one whole year. Join our mission of building a web without loading times to make all Internet users happier. Our product Speed Kit is the all-in-one page speed tool and accelerates websites worldwide, including market leading companies like BMW, Zwilling and GANT. Our world-class team uses the latest web technology trends to make our customer websites up to 4x faster and to improve the user experience for 300 million users per month. Sounds exciting? Come on board and help us so that no one has to suffer from lost time! Within our Web Performance Intelligence Team we are providing insights into the data of >300 million monthly users with the corresponding requests per minute (>>100k). We analyse performance and e-commerce data as well technical signals from browsers to perform production A/B tests and monitor customer websites. Insights are shared with customers, implemented by our integration teams or fed back into development of our product in order to constantly improve it. To support this we are now looking for a team member in the position of a (Senior) Data Product & Visualization Analyst (all genders) in full-time either remote or hybrid . About Your Role As a (Senior) Data Product & Visualization Analyst, you will play a crucial role in transforming raw data into meaningful insights that drive decision-making across our teams and for our customers. Your mission is to analyze, visualize, and communicate the impact of Speed Kit on customer websites, ensuring that both internal and external stakeholders can leverage data effectively. You will work at the intersection of data analysis, visualization, and product development, collaborating with business units, integration teams, and data engineers to enhance our analytical capabilities. By creating compelling data stories and intuitive dash
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