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Data Analyst | Digital Marketing Industry Data Professionals / Flextime & Hybrid Work

Data Analyst | Digital Marketing Industry Data Professionals / Flextime & Hybrid Work

Tokyo

Fulltime

Remote

Listed Company

Own Products/Services

Industry: Manufacturing Company

IT Skills: SQL, Python

Working hours: Flextime System

Salary: 5 Million yen〜8 Million yen

Job Description: Responsibilities As a professional who handles data, you will work in the Data Management Section of a.i lab., the company's technical division, using SQL, Python, etc. to extract data from databases, tabulate and analyze data, and report on the results. You will be responsible for interpreting data and facilitating mutual understanding between engineers and business. Your primary mission is to combine technical data analysis methods with knowledge of business strategy to leverage data to meet business needs. <Specifically> ・Supporting the management of each organization by collecting and providing data as “information that can be utilized ・Aggregation, analysis, visualization, and dissemination to each organization of the company's big data ・Responding to requests for data extraction from related departments within the company ・Visualization of data using BI tools Extraction, aggregation, analysis, and reporting of these data are used for a variety of purposes. For example, in ad serving reports, you will analyze indicators such as the number of clicks and conversion rates to evaluate the effectiveness of ad campaigns. In addition, in formulating measures to improve the effectiveness of ad operations, you will analyze user behavior patterns and trends to improve and optimize targeting. In defining requirements and making release decisions for new products or for the addition of functions to existing products, you will analyze client feedback and market trends to make release decisions for new functions. Furthermore, in defining requirements and making release decisions for the implementation of functions for major products, you will make release decisions for competitive functions based on competitive research and analysis of clients' needs. Data handled ・Request data from ad serving media ・Performance data related to ad serving The company handles a variety of big data, including 350 million user IDs, 400 billion monthly Web activity histories, 40 billion monthly location data, 70 million site data (subject to text analysis), 31 million product information, 90 million monthly purchase histories, and so on. About the Organization and the People Who Work with Department name: a.i lab. data management section Number of people in the section: 1 section chief, 3 members Age range: 1 member in his 40s, 2 members in their 30s, and 1 member in his 20s Organization features: The mission is to support timely decision making to achieve business goals. ・Supporting operations of each organization by collecting and providing data as information that can be utilized. ・Improving operational efficiency by developing an environment for data use Career Steps After Joining the Company By engaging in data analysis of projects that occur within the company and gaining experience, you may be able to build a career in management in the future, for example, as a project manager to promote projects while organizing various departments. In addition, depending on your skills and abilities, you may be able to transfer to a research organization and make a career change to an engineer. *The structure of the company's services and the architectural design of the system are covered in training materials (videos, texts, and slides), so even those with no experience in the industry can quickly catch up in this environment.

Required Skills: ▼Required Meets all of the following ・Experience in data analysis (3+ years) ・Experience in data extraction, preprocessing, and analysis using SQL (3+ years) ▼Preferred ・Experience in the web advertising industry ・Experience in data extraction, preprocessing, and analysis using Python ▼Ideal Applicants ・Good at performing multiple tasks at the same time ・Able to perform PDCA cycle with a sense of speed ・Good at outputting analyzed data accurately and visualizing data

Required Language Skills