The E-Commerce Web Analyst is responsible for analyzing website data, user experiences, and online retail performance for websites and other OTA distribution platforms. They will be effective at translating insights from the data to create easily understood narratives for business stakeholders. The E-Commerce Web Analyst will also be responsible for proactively monitoring and reporting on KPIs. The E-Commerce Web Analyst’s day-to-day responsibilities will require the individual to have working knowledge of conversion rate optimization (CRO), Google Analytics (specifically GA4), Google Data Studio, Google Tag Manager, heat mapping and UX tracking tools. Analyzing all online key metrics about our business and performance (Room nights, Revenue, Bookings trends) an providing highly efficient reports, business analysis, data trends and process optimization.
Key Responsibilities
Responsible for the core business’s eCommerce data and analytics insights: extract, consolidate, present and analyze data as per Digital Marketing and E-commerce requirements
Develop and deliver reports from web platforms and queries from databases that summarize insights for review by management to summarize campaign performance and help drive marketing and business unit decisions.
Monitoring and analyzing e-commerce metrics and figures.
Transforming e-commerce data into operational insights.
Create a sustainable CRO process to identify customer friction points on the website for conversion into A/B testing opportunities.
Build an A/B testing process using tools like Google Optimize or Optimizely and work with E-Commerce Manager to implement best performing UX with IT.
Monitoring and analyzing e-commerce metrics and figures.
Transforming e-commerce data into operational insights.
Work with Enterprise Research team to leverage business intelligence platform to visualize data to inform key Marketing stakeholders, experience with Tableau a plus.
Collaborate with IT colleagues to manage advanced analytics requests tied to web properties.
Qualifications
Bachelor’s degree required (focus on Marketing or Data Science a plus).
3-5 years of experience in a data analytics role.
Good understanding of hospitality KPIs (Room nights, Revenue ADR, TREVPOR) and other revenue terminology
Working day-to-day with A/B testing platform, Google Analytics (GA4 preferred), Google Looker Insights, Google Tag Manager, OTA reporting tools
Good knowledge of using online E-distribution channels
Exceptional written, oral, and presentation communication abilities.
How to Apply
Please submit a cover letter and resume with your photo with the job posting title in the mail subject to [email protected]
If your profile matches the requirements, you will be contacted for an interview. Not related and not relevant CV will not be replied to.
