【About Us】 At Sales Marker, our mission is to create a world where all people and companies can challenge themselves beyond existing boundaries. We’re one of the fastest growing start-ups in Japan and we’re growing at a speed that is twice as fast as Unicorn startups. By using our product, sales teams can improve their work efficiency by 3 times. We have achieved over 900% YoY business growth rate in 2.5 years since our flagship product 「Sales Marker」 was released and we’re currently actively working on a wide range of new product portfolios. 【The Team】 Our co-founders are from top companies in Japan and the world such as NRI, Keyence, LINE, Microsoft, and PwC. They were selected as 「FORBES 30 UNDER 30 ASIA LIST」 in 2023 . In our Engineering & Product team, we have members from more than 16 countries and they come from top tech companies in the world such as Google, Microsoft, Indeed, and famous tech companies in Japan such as Mercari, LINE, Yahoo, Smartnews, etc.

【Your Job】 Responsibilities We are looking for a skilled Data Analyst to join our team and accelerate the development of our cutting-edge in-house product, Sales Marker. In this role, you’ll have the opportunity to shape the future of our product by driving key decisions through deep data analysis. You’ll work closely with cross-functional teams, including product, engineering, and business, to solve complex data challenges. Your responsibilities will include: - Analyze complex datasets to provide actionable insights that shape product strategy and drive decision-making. - Collaborate with teams across the organization to design and implement data-driven solutions. - Ensure data accuracy, consistency, and reliability for various reporting and analysis needs. Requirements - 3+ years of experience as a Data Analyst or Business Intelligence(BI) Engineer, with a strong focus on data analysis and reporting. - Expertise in SQL and familiarity with data collection, cleansing, and modeling techniques. - Experience with Data Analysis using Python - Proven track record in developing insightful reports and visualizations that drive business decisions. - Strong problem-solving skills with the ability to tackle complex, ambiguous challenges. - Business level English and Business level Japanese (including reading and writing) Nice to Have - Experience with Data Visualization tools such as Tableau, PowerBI or Apache Superset - Experience with Athena, RDS or other technologies listed below - Native level Japanese proficiency 【Our Tech Stack】 [Data Analysis] - Python - UI Bakery - OpenAI - Amazon Bedrock - OpenSearch - Athena - Glue [Front-end] - TypeScript, React; - Libraries: Storybook, jest; - Hosting: Amplify [Server Side/Back-End] - Infrastructure: AWS, ElasticBeanstalk;　 - DB: Aurora, ElasticSearch; - Languages: Node.js, Python; - Analysis environment: Athena; - Framework: Express; - Monitoring: DataDog; - Others: AWS Lambda, AWS Batch, AWS API Gateway, AWS Glue