Top Data Analyst Jobs in Japan

The Manager Data Analyst will drive strategy using analytical skills, build and validate models, manage large data sets, and mentor a team of junior analysts. Responsibilities include consulting on new data systems, improving operational efficiencies, and performing data evaluations to enhance customer experience in the Consumer Bank sector.

The Data Analyst Manager will leverage analytical skills to drive strategy, mentor junior analysts, and improve data processes while collaborating across business units. Responsibilities include mining and analyzing vast amounts of data, implementing improvements, and consulting on data storage systems, all in a fast-paced environment.

At Capital One, data is at the center of everything we do. The Principal Data Analyst will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. Responsibilities include innovation, business intelligence, and data management. Ideal candidates will have a degree in a STEM discipline, scripting experience in Python, R, Spark, and SQL, and experience with data in various forms. Basic qualifications include at least 5 years of experience in data analytics and proficiency in scripting languages, business intelligence tools, and data analysis.

As a Principal Data Analyst at Capital One, you will innovate and manage data solutions, perform business intelligence analysis, and ensure data quality principles are followed while collaborating with Tech teams and translating business needs into actionable insights.

The Senior Sales Data Analyst at CarGurus will empower Sales & Service teams through data-driven insights. Responsibilities include defining and executing a reporting roadmap, providing sales performance analysis, creating actionable reports and dashboards, and improving CRM tracking. The role also involves collaboration with stakeholders and data governance.

The Workforce Planning Data Analyst - Sr. Associate will create data-driven experiences, manage data, develop dashboards, and provide analytical solutions to enhance the employee journey. Responsibilities include automating data processes, collaborating with multiple teams, leading projects, and mentoring peers.

As a Lead Business Data Analyst, you will develop a vision and roadmap for data-driven practices, facilitate collaboration across the enterprise, analyze data processes for improvement, conduct in-depth analyses, provide actionable insights, and promote a data-driven culture. You will also guide senior leadership in leveraging data for decision-making.

As a Product Data Analyst for Fraud, you will analyze fraud data to help implement product strategies and improve customer experiences. You'll design experiments, build metrics for fraud system performance, and develop tools for Fraud Specialists. This position focuses on using data science techniques to mitigate fraud risk while enhancing product usability.