Senior Business Analyst

任职要求

<p>职位描述</p><p><strong>Key Roles and Responsibilities </strong></p><ul><li>Collect and analyze customer service related data to identify trends, issues and opportunities for improvement</li><li>Evaluate and optimize customer service processes to improve efficiency and customer satisfaction through data analysis.</li><li>Prepare regular reports to provide management with key performance indicators (KPIs) and business insights on customer service.</li><li>Monitor the performance of the customer service team to ensure that the quality of service meets company standards.</li><li>Collect and analyze customer behavior to understand customer needs and improve service.</li><li>Collaborate with other departments to ensure customer service processes are aligned with the company's overall business objectives.</li><li>Analyze customer data and segment customers in order to provide a more personalized service.</li><li>Self-manage delivery of analytical projects to drive performance improvement:</li><li> Defining the business problem</li><li> Determining the analytical approach</li><li> Efficiently extract relevant data</li><li> Appropriately use statistical and data analysis techniques</li><li> Sharing your findings using impactful data visualizations and efficient communication</li><li> Balance multiple priorities, updating stakeholders on progress and expected delivery</li><li>Encourage and train department members in best practice use of Trip.com data, analysis techniques and interpretation.</li></ul><p><br></p><p>任职资格</p><p><strong>Required</strong></p><ul><li>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</li><li>SQL proficiency required: can extract data from large databases using SQL to develop data queries</li><li>Excellent problem-solving skills including the ability to analyze and resolve complex problems</li><li>Organized and structured: can manage multiple, competing priorities and deliver results under tight deadlines and pressure</li><li>Excellent communication skill, fluent in English, both written and oral.</li><li>Quick learning capability under rapid changing environment. </li><li>Can-do attitude and be willing to take challenges. </li><li>Show respect for differences in opinions and one-team spirit</li><li>Strong business sense and analytics ability. </li><li>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</li><li>Must want to tell an impactful story with analysis and smart data visualization, not just number crunch</li><li>Able and willing to share your opinion and propose ideas to improve operations based on data and have an impact on the customer experience</li><li>Attentive to detail and committed to data integrity</li><li>Experience in one data analysis package, such as R /Python on popular machine learning algorithms, such as Logistic Regression, Decision Tree.</li><li>Experience in data analysis methodology like hypothesis testing, A/B Test</li><li>Experience in AI Application on Data Analysis.</li></ul>