襄阳商业分析专家
商业分析专家是负责收集、分析和解释商业数据，以帮助企业制定战略决策和提高经营绩效的专业人士。他们通过收集市场数据、消费者行为、竞争情况等信息，分析公司运营和销售数据，识别商业趋势和机会，评估产品或服务的表现，预测市场需求和行业发展方向。商业分析专家还会利用数据可视化工具和报告格式呈现分析结果，为管理层提供决策支持。此外，他们也需要与不同部门合作，解决业务问题，提出改进建议，以推动业务增长和竞争力。因此，商业分析专家需要具备数据分析、商业洞察和沟通技能，能够独立思考和具备商业敏锐度。
薪酬概览
平均月薪
¥7700
中位数 ¥0 ｜ 区间 ¥5700 - ¥9700
数据来源：样本数量过少，仅供参考；更新时间：2026年7月13日
月薪分布
50% 人群薪酬落在 8-15k
三大影响薪酬的核心维度
影响薪资的核心维度1：工作年限
影响薪资的核心维度2：学历背景
市场需求
11月新增岗位
8
对比上月：岗位新增4
数据由各大平台公开数据统计分析而来，仅供参考。
岗位需求趋势
不同经验岗位需求情况
| 工作年限 | 月度新增职位数 | 职位占比数 |
|---|---|---|
| 1-3年 | 8 | 100% |
热招职位
无人机教员4000-7500
1、带领学员高效、有序完成每日的飞行训练；
2、负责分组设备的管理及维护调试及电池充电等负责无人机的组装、调试、故障分析；
3、按照培训标准和考核标准,严格执行培训流程及课程安排；
4、需持有CAAC中型多旋翼超视距教员执照；
Key Roles and Responsibilities
Collect and analyze customer service related data to identify trends, issues and opportunities for improvementEvaluate 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.Self-manage delivery of analytical projects to drive performance improvement: Defining the business problem Determining the analytical approach Efficiently extract relevant data Appropriately use statistical and data analysis techniques Sharing your findings using impactful data visualizations and efficient communication Balance multiple priorities, updating stakeholders on progress and expected deliveryEncourage and train department members in best practice use of Trip.com data, analysis techniques and interpretation.
任职资格
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 areaSQL proficiency required: can extract data from large databases using SQL to develop data queriesExcellent problem-solving skills including the ability to analyze and resolve complex problemsOrganized and structured: can manage multiple, competing priorities and deliver results under tight deadlines and pressureExcellent 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 spiritStrong 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 hotelsMust want to tell an impactful story with analysis and smart data visualization, not just number crunchAble and willing to share your opinion and propose ideas to improve operations based on data and have an impact on the customer experienceAttentive to detail and committed to data integrityExperience 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 TestExperience in AI Application on Data Analysis.
1、在深度理解闪购、医药各品类及下沉业务特征的基础上，协助业务迭代完善经营分析体系及监控机制，使经营追踪机制可以有效及时识别问题及机会；
2、针对增长机会探查、补贴资源优化、用户拓展等重点问题，开展专题分析，并协同各方，助力业务探索增长关键举措并落地取得成效；
3、参与建立重点项目的评估标准，出具策略效果评估意见。
4、积极拥抱AI，借助AI工具辅助数据分析和监测机制完善，拓展AI在业务分析中的应用边界。