滴滴New Business BA& Budget-数据分析实习生

1、负责滴滴海外外卖业务的经营分析工作; 2、理解商业本质和业务逻辑，搭建业务监控和分析体系，定义业务指标体系，跟进目标、策略的执行情况; 3、根据业务发展需要，输出特定的专题分析，提供及时有效的分析结果和策略方案，并寻找合理的业务的增长机会或者亟待解决的问题; 4、有机会在外卖业务的商家、用户和骑手履约多视角获得商业理解和分析实践机会

· Translating business questions and concerns into specific analytical questions that can be answered with available data using BI tools; produce the required data when it is not available. · Apply Statistical and Machine Learning methods to specific business problems and data. · Create global standard metrics across regions and perform benchmark analysis. · Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc. · Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions. · Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds. · Develop efficient data querying and modeling infrastructure. · Manage your own process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time. · Utilizing code (SQL, Python, R, etc.) for analyzing data and building statistical models.

1. This position is responsible for setting up and landing Alibaba Cloud's overseas country-level business strategy, building and streamlining the sale-operation business system, and working with regional sales teams to drive Alibaba Cloud's overseas revenue growth. 2. Be responsible for country operation business, perform leads-to-cash life cycle management, especially pipeline management. Monitor the progress for country business based on long-term and short-term plans, and provide feasible execution plans through in-depth analysis of data. 3. Key Customer and partner Management, manage customer/partner status from customer consumption trends, customer business development plans, Alibaba Cloud product competencies, and manage the customer pipeline through cooperation with the sales and technical architect team. 4. Regular insight into market dynamics and competitive trends, identify new channel business opportunities based on market trends, characteristics, and development trends, and provide optimization suggestions. 5. Conduct cross-departmental communication, collaborate with sales, marketing, products, finance, etc. to drive business. 6. Connect with the back-end teams, provide feedback on regional progress, promote and implement channel policies, provide operational support, and provide feedback from customers and sales teams to back-end teams.

Its responsibilities include: - Integrate full partner capabilities from partner team through a holistic partner heat map including partner solution, competency, industrial play, etc. as the interface to sales team; - Integrate partner planning and strategy into sales planning - Enable BD team to recognize the value of partner solutions to their business - Streamline the leads-to-cash process for partner related opportunities through day-to-day execution with sales team in the full sales cycle and achieve a healthy partner attach rate - Coordinate between partners and sales team to mitigate any conflict of interests