Lessons Learned as a Data Analyst in Website Experimentation
As a website experimentation data analyst, I collaborate with product and design teams to optimize digital news websites. Through A/B testing, I measure the impact of feature and design changes on key metrics, ensuring accurate data tracking and analysis for website success.
As a data analyst working in website experimentation for a large news/media publishing group, my role is to help drive the success of our digital news websites. I work closely with the product and design teams to ideate new features and optimize existing ones, ensuring that our websites deliver the best possible experience for our readers.
One of the key parts of my job is to run A/B tests to determine the impact of changes to our websites. This involves designing experiments that test different variations of a feature or design change and measuring the impact on key metrics such as engagement, time on site, and conversions. To do this, I work with our developers to set up the tests and ensure that the data is accurately tracked and analysed.
To ideate new features, I spend a lot of time researching and analysing trends in the industry and looking at what our competitors are doing. I also gather feedback from our readers and analyse their behaviour on our websites to identify areas where we can improve the user experience.
Once an experiment has been run, I perform post-hoc statistical data analysis to determine whether a significant difference has been found between the two groups. This involves applying statistical techniques such as hypothesis testing and confidence intervals to the data to determine whether the results are statistically significant and can be attributed to the changes made in the experiment.
One of the most satisfying aspects of my job is seeing the impact that our experiments have on the success of our websites. It's incredibly rewarding to know that the work we do is helping to improve the experience for our readers and drive the success of our business.
In conclusion, working as a data analyst in website experimentation for a large news/media publishing group is an exciting and rewarding job. It requires a combination of analytical skills, creativity, and a passion for improving the user experience. By ideating new features, optimizing existing ones, and performing post-hoc statistical data analysis, I'm able to help drive the success of our digital news websites and ensure that we deliver the best possible experience for our readers.
Comments ()