Collect and analyze customer service related data to identify trends, issues and opportunities for improvement
Evaluate and optimize customer service processes to improve efficiency and customer satisfaction through data analysis.
Prepare regular reports to provide management with key performance indicators (KPIs) and business insights on customer service.
Monitor the performance of the customer service team to ensure that the quality of service meets company standards.
Collect and analyze customer behavior to understand customer needs and improve service.
Collaborate with other departments to ensure customer service processes are aligned with the company's overall business objectives.
Analyze customer data and segment customers in order to provide a more personalized service.
skills and experience required.
Bachelor’s degree in computer science, engineering, mathematics, statistics, data science or a related degree program with outstanding academic results with 5+ years working experience or equivalent MS with 3+ years working experience in analytics area
SQL proficiency required: can extract data from large databases using SQL to develop data queries
Excellent problem-solving skills including the ability to analyze and resolve complex problems
Organized and structured: can manage multiple, competing priorities and deliver results under tight deadlines and pressure
Excellent communication skill, fluent in English, both written and oral.
Quick learning capability under rapid changing environment.
Can-do attitude and be willing to take challenges.
Show respect for differences in opinions and one-team spirit
Strong business sense and analytics ability.
Must be data savvy and love crunching numbers: love the idea of working in an international and multicultural company, analyzing billions of actions from millions of travelers choosing from thousands of hotels
Must want to tell an impactful story with analysis and smart data visualization, not just number crunch
Able and willing to share your opinion and propose ideas to improve operations based on data and have an impact on the customer experience
Attentive to detail and committed to data integrity
Experience in one data analysis package, such as R /Python on popular machine learning algorithms, such as Logistic Regression, Decision Tree.
Experience in data analysis methodology like hypothesis testing, A/B Test.
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about the company. Internet
about the team. Data
...
about the job.
Collect and analyze customer service related data to identify trends, issues and opportunities for improvement
Evaluate and optimize customer service processes to improve efficiency and customer satisfaction through data analysis.
Prepare regular reports to provide management with key performance indicators (KPIs) and business insights on customer service.
Monitor the performance of the customer service team to ensure that the quality of service meets company standards.
Collect and analyze customer behavior to understand customer needs and improve service.
Collaborate with other departments to ensure customer service processes are aligned with the company's overall business objectives.
Analyze customer data and segment customers in order to provide a more personalized service.
skills and experience required.
Bachelor’s degree in computer science, engineering, mathematics, statistics, data science or a related degree program with outstanding academic results with 5+ years working experience or equivalent MS with 3+ years working experience in analytics area
SQL proficiency required: can extract data from large databases using SQL to develop data queries
Excellent problem-solving skills including the ability to analyze and resolve complex problems
Organized and structured: can manage multiple, competing priorities and deliver results under tight deadlines and pressure
Excellent communication skill, fluent in English, both written and oral.
Quick learning capability under rapid changing environment.
Can-do attitude and be willing to take challenges.
Show respect for differences in opinions and one-team spirit
Strong business sense and analytics ability.
Must be data savvy and love crunching numbers: love the idea of working in an international and multicultural company, analyzing billions of actions from millions of travelers choosing from thousands of hotels
Must want to tell an impactful story with analysis and smart data visualization, not just number crunch
Able and willing to share your opinion and propose ideas to improve operations based on data and have an impact on the customer experience
Attentive to detail and committed to data integrity
Experience in one data analysis package, such as R /Python on popular machine learning algorithms, such as Logistic Regression, Decision Tree.
Experience in data analysis methodology like hypothesis testing, A/B Test.
About the companyGlobal Industry Leader: We are one of the world's largest online travel platforms, connecting millions of travelers across the globe.Data-Driven Culture: We don't just guess; we decide based on billions of data points. We operate in a fast-paced, international environment where technology meets humanity.Multicultural Environment: English is our working language in many teams, offering a truly global career track without leaving the country
About the companyGlobal Industry Leader: We are one of the world's largest online travel platforms, connecting millions of travelers across the globe.Data-Driven Culture: We don't just guess; we decide based on billions of data points. We operate in a fast-paced, international environment where technology meets humanity.Multicultural Environment: English is our working language in many teams, offering a truly global career track without leaving the country
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