Senior Data Analyst for Commercial Marketing

Responsibilities

1. Gain an in-depth understanding of the business, complete marketing measurement and strategy output through statistical modeling and data analysis, support business decision-making, promote the formulation, implementation and optimization of marketing strategies, and identify the direction of business advancement 2. Establish a measurement and analysis framework, indicator system and solutions for the entire marketing funnel of international commercialization, conduct benchmark analysis, and establish a measurement system and indicators applicable to businesses in various regions around the world write data reports for global business summary and planning 3. Execute challenging data projects, transform business problems into data problems, establish analysis frameworks, integrate multiple data sources, perform data processing and analysis, create required data tables and data sets, use statistical modeling to analyze data, visualize and synthesize results into dashboards and reports, and output and communicate data conclusions 4. Support the development of marketing data infrastructure can independently build data links to improve query efficiency, summarize the needs of the marketing team, and work with the product and data warehouse teams to build and maintain the marketing database 5. Collaborate with multiple cross-functional teams on projects provide business-side data support for strategy teams and marketing teams at all levels work with product and R&D teams to promote the development and improvement of internal commercialization systems and standard marketing measurement products 6. Manage project progress reasonably arrange project scheduling and progress according to project priorities to ensure on-time delivery of projects.

Qualifications

1. More than 5 years of relevant data analysis work experience, master's degree or above, statistics, data science, computer science, applied mathematics and other related majors. Priority will be given to candidates with overseas study or work experience, and relevant experience in marketing and marketing measurement analysis. 2. Proficient in SQL, Python and visualization tools (such as Tableau, Power BI, etc.), able to complete data extraction, analysis, and visualization in complex data environments master statistical knowledge, and have experience in deep learning or machine learning have certain experience in data landing in business, and have professional analysis report writing ability 3. Able to quickly understand technical and non-technical business needs, deliver data insights, analyze the impact, and propose solutions 4. Understand basic data warehouse concepts, and be able to efficiently integrate multiple data sources during data query 5. Good oral and written skills in Chinese and English communication and collaboration. Strong, good at establishing connections and cooperation with cross-functional departments 6. Pay attention to new technologies and new things in the industry, and be able to understand and learn quickly Be creative and passionate about work Strong logical thinking, good at analyzing problems and thinking outside the box question.