Data Analyst

Contract type
SaaS / Software Vendor
Company Type
日系企業/Japanese Company
5 Million yen〜10 Million yen
Japanese Level
ビジネスレベル/Business Level
English Level
Other Language Skills

Job Description

▼Goal as a Data Analysis Team The team began building the analytical infrastructure in December 2019 and is able to develop the infrastructure to a level that allows for stable analysis and visualization of the current product. In the meantime, the product continues to grow and the number of analysis/visualization requests coming to the data analysis team is increasing rapidly. In addition, there are plans for major company-wide investments in growth toward 2022, and there is a need to improve the accuracy of decision-making. They are looking for team members to support management-level decision-making and data-driven product growth. ▼How to proceed with data analysis work Data analysis members use user behavior data accumulated in the analysis infrastructure for visualization and analysis. They support decision-making not only in strategy, product management, and planning, but also in business, development, and all other teams. ▼Work they want you to do together <Assumed tasks in the near future> ・Monitoring of service indicators, data extraction/reporting to assist in management-level decision making <Medium-to-long term assumed tasks> ・Operation/improvement of analytical infrastructure (APM, ETL, data lake, data warehouse, security) ・Proposal of essential UX improvement through analysis and growth hacking ・Propose quantitative improvement proposals to management/strategy ※You will be assigned tasks according to your needs. ▼Technology Stack Typescript、React、Redux (Redux tool kit、RTK Query)、Cypress、CircleCI、Javascript (ES6)、Golang、Ruby on Rails、Python、Neo4j、DynamoDB、 ElasticSearch、Aurora、 MySQL、AWS、Docker、Kubernetes、GitHub ■Working Environment Fully remote work * May be required to come to the office depending on the project situation. Transportation expenses (including airfare and Shinkansen) will be provided. Full flexible work hours (no core hours) available from 6:00 to 22:00

Required skills

[MUST] ・Experience in data aggregation and analysis using SQL ・Problem solving and logical thinking skills to solve business problems ・Experience using BI tools such as Tableau