Data Analyst

KOMOJU (by ) is the leading cross-border payment gateway for Japan. We power payments for companies like video game distribution platform Steam and the popular mobile app TikTok. Today we help thousands of merchants by providing them with the payment infrastructure they need through developer-friendly API’s to integrations on popular platforms like Shopify and Wix; we help our merchants grow in all markets they are expanding.

About the position

We are seeking a Data Analyst with a passion for leveraging data to drive decision-making and business insights across the organization. As a Data Analyst at KOMOJU, you will work closely with various teams to interpret data, uncover trends, and deliver actionable insights that help inform key business strategies.

Responsibilities

• Collaborate with cross-functional teams (Business, Engineering, and Operations) to understand data needs and deliver actionable insights that inform business decisions.
• Analyze complex datasets to identify trends, patterns, and opportunities for process improvements or new business initiatives.
• Develop and maintain dashboards, reports, and data visualizations that help teams monitor key metrics and performance.
• Ensure data accuracy, consistency, and integrity across all reports and analysis.
• Work closely with the Engineering team to improve data collection processes and ensure reliable data pipelines.
• Implement access controls where necessary to manage sensitive data and comply with internal policies.

• 3+ years of experience in data analysis or related field.
• Conduct ad-hoc data analysis and present findings to stakeholders in a clear and concise manner.
• Strong background in data analysis with advanced knowledge of SQL.
• Proficiency in data visualization tools (e.g., Tableau, Power BI, Looker, Excel) to develop insightful reports and dashboards.
• Strong analytical skills and the ability to translate data into actionable business insights.
• Experience working with large datasets and understanding data integrity and validation processes.
• Excellent communication skills to explain complex data findings to non-technical stakeholders.
• Strong attention to detail and commitment to data accuracy.

Nice to Haves

• Familiarity with programming languages used for data analysis (e.g., Python, R).
• Experience with statistical analysis and data modeling techniques.
• Knowledge of data warehousing and cloud platforms (e.g., Amazon Redshift, Google BigQuery).
• Experience with data governance practices to ensure data quality and consistency across the organization.
• Familiarity with self-service BI environments that empower teams to explore data independently.

• At Degica, we embrace remote work while also offering office space for those who prefer in-person collaboration
• 10 days regular vacation, additional 5 days summer and 5 days winter vacation
• Paid birthday holiday
• Budget for self-learning allowance, to ensure our employees’ skills remain current
• Language training for Japanese