薪酬概览
平均月薪
¥13200
中位数 ¥9000 | 区间 ¥11600 - ¥14800
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
40% 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
2月新增岗位
9
对比上月:岗位新增2
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 | 7 | 100% |
热招职位
区域地推员2000-3500
负责开平,台山等地区线下商家推广,每周工作时长为周一至五每天八小时以内,根据公司安排在不同地方进行地推宣传工作,每周工作时间可提前报备协调,相对自由。
营销总监面议
一、负责市场调研与分析,营销计划制定与执行,策划与组织活动。二、销售数据分析与监控。三、负责销售团队管理,培训销售团队,制定销售团队的管理制度和考核机制,尽力达成销售目标。四、客户管理、回访与投诉处理。五、市场推广与品牌建设。岗位要求:
1、年龄30~50岁,身体健康,形象气质佳。
2、有房地产行业销售等相关工作经验。
3、自带行业资源者优先考虑。
成品质检面议
1、学历不限,有五金、卫浴、钣金、成品质检经验者优先。
2、视力良好,能清晰分辨产品瑕疵、色差、细小划痕,做事细心、耐心、严谨,原则性强。
3、能看懂简单尺寸、熟悉基础测量工具(卷尺、卡尺),会基本记录填表即可。转正购买社保
生产主管10000-13000
1、负责五金车间的日常运营管理,确保生产活动高效、安全、稳定进行;
2、制定并优化生产计划,监督生产流程,保证产品质量和生产效率;
3、负责6S管理、管理车间团队,开展员工培训,提升团队技能与安全意识;
4、控制生产成本,实施有效的资源调配和设备维护计划;
5、建立和维护车间管理制度,确保安全生产,定期进行检查与改进。
任职要求:
1、具备丰富的五金制造行业管理经验,熟悉车间生产流程;
2、优秀的团队管理能力,能够激励并指导团队成员;
3、良好的成本控制意识,能够采取有效措施降低生产成本;
4、熟悉安全生产相关法律法规,能够建立和维护安全管理体系;
5、具有较强的沟通协调能力和问题解决能力,能够有效处理生产中的突发事件。
生产厂长12000-18000
1、全面负责二厂入户门生产工厂的运营管理,组织制定并实施年度生产计划与目标;
2、统筹生产、技术、质量、仓储、物流等各环节工作,确保生产体系高效稳定运行;
3、主导生产流程优化与工艺改进,提升生产效率与产品品质;
4、组织建立和完善安全生产管理体系,落实EHS管理要求,保障生产安全;
5、推动团队建设与组织管理,提升员工执行力与团队协作能力。
任职要求:
1、具备大中型制造企业生产管理经验,熟悉门类类产品的生产工艺流程;
2、精通生产运营管理和现场管控方法,具备较强的计划与执行能力;
3、熟悉质量管理体系和安全生产规范,有系统化管理思维;
4、具备优秀的沟通协调能力、团队领导力及跨部门协作能力;
5、责任心强,能承受较大工作压力,适应制造业工作节奏。
安装工4000-6000
初中及以上学历、吃苦耐劳、有团队精神、服从领导安排;机械类专业优先录用;有无工作经验都可;能吃苦耐劳,肯学技术;负责数控机床光机的装配工作;
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 delivery Encourage and train department members in best practice use of Trip.com data, analysis techniques and interpretation.
任职资格
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 Test
1)建设并完善经营管理体系,覆盖指标体系搭建、目标管理、数据监控、结果复盘、专题分析等;2)支持国家进行用户增长分析和讨论,结合数据分析及物理世界用户、商家调研,识别机会和风险,沉淀业务认知,并形成关键判断;3)针对业务经营的重点、难点展开专题研究,输出有洞察力的分析结论,推动关键策略落地及效果衡量,以业务价值创造为导向开展工作