Google Cloud Data Analyst
3 weken geleden
About the Role:
As a Google Cloud Data Analyst at STAFIDE, you will be responsible for diving into customer behavior on our website using visual tools such as Contentsquare to identify opportunities for site improvements and customer pain points. You will work actively to mitigate identified pain points and enhance the overall user experience. Additionally, you will own and manage the online customer journey, including front-end data definitions and key performance metrics. Collaboration with the team is essential to define appropriate performance metrics, focusing on experimentation and A/B testing.
What You Bring to the Table:
8-10 years of experience analyzing web data and understanding customer behavior. Solid experience with digital tools, including Google Cloud and Contentsquare. Expertise in designing and implementing user tracking mechanisms. Proven ability to analyze, visualize, and report on customer metrics using Data Studio and BigQuery. Experience with A/B testing and experimentation to optimize customer experience. You should possess the ability to lead the experimentation agenda by collaborating with UX teams to formulate and validate hypotheses. Proactively drive the improvement of performance metrics related to customer behavior and website performance. Be a self-starter with a proactive, engaging, and curious mindset.
What We Bring to the Table:
A collaborative and dynamic work environment with opportunities to drive digital innovation. Exposure to cutting-edge tools and platforms to enhance your digital analytics skills. The chance to shape the customer experience through data-driven insights and experimentation.
Requirements:
As a Google Cloud Data Analyst, you will dive into customer behavior on the website using visual tools (such as Contentsquare) to identify opportunities for site improvements and customer pain points. Work actively to mitigate identified pain points and enhance the overall user experience. Own and manage the online customer journey, including front-end data definitions and key performance metrics. Collaborate closely with the team to define appropriate performance metrics, focusing on experimentation and A/B testing.
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