Top Data Analyst Jobs in Japan
The Data Analyst in Customer Operations will analyze data trends, design performance metrics, create insightful dashboards, and collaborate with stakeholders to drive operational improvements in Customer Support. Reporting to the Team Lead, this role requires a strong analytical mindset and the ability to work independently and in teams.
As a Senior GTM Data Analyst, you will analyze complex datasets to provide actionable insights for the Go-to-Market teams, develop predictive models for revenue outcomes, and utilize various data visualization tools in collaboration with cross-functional stakeholders.
The Manager Data Analyst for Enterprise Services will leverage analytical skills to drive strategy, build models, and improve processes. Responsibilities include mining data, enhancing operational efficiencies, and mentoring junior analysts. This role involves extensive collaboration across business units in a fast-paced environment with a focus on analytics and data-driven decision-making.
The Manager Data Analyst will leverage analytical skills to drive strategy, build and validate models, and work with large datasets to improve operational efficiencies. They will lead a team of junior analysts, collaborate across units, and implement process and reporting improvements while handling multiple projects in a fast-paced environment.
As a Data Analyst on our global Finance and Expense Data team, you will work closely with finance and expense team stakeholders from across the business including engineers, sales, marketing, finance, and operations. You’ll play a key role in defining the financial data needs, building data models, and delivering actionable insights to drive business decisions.
This Data Analyst position is with the Performance Optimization team within the Customer Experience Operations (CXO) organization. The role involves building reporting dashboards, serving as a subject matter expert, and collaborating with department leaders. Key responsibilities include data-driven decision-making, proactive analysis, and building automated reports using Tableau.
The BI Data Analyst will analyze complex financial data, convert it into actionable insights, and collaborate with finance and analytics teams. Responsibilities include ensuring data integrity, developing reports and dashboards, and optimizing performance through complex SQL queries, while also maintaining compliance with tax regulations.
The Data Analyst will work within the customer's enterprise data analytics group, focusing on security and governance for multi-tenancy on the Splunk SOAR platform. Responsibilities include analyzing data to identify issues, creating KPIs with Splunk ITSI, briefing stakeholders, and managing IT service tickets, while supporting various cloud and on-premises configurations.
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As a Data Analyst, you will analyze business processes using data, perform data queries, create reports in Tableau, and generate SQL queries for data analysis. You will also engage with different personas within the organization and conduct regression modeling for analysis.
The Principal Data Analyst at Capital One will innovate and maintain data solutions, conduct business intelligence analysis, and ensure adherence to data quality principles. Responsibilities include building data tools, partnering with business to develop insights, and managing data governance.
As a Principal Data Analyst at Capital One, you will leverage your analytical and technical skills to innovate and manage data solutions that tackle business problems. Your responsibilities include mining data, developing tools for data visualization, ensuring data quality management, and collaborating with tech teams on data governance.
The role involves leveraging analytic skills to build data solutions and tackle business challenges in the Consumer Bank. Responsibilities include using open-source technologies for data mining, developing BI tools, ensuring data quality, and collaborating with tech teams for data governance.
The Principal Data Analyst will leverage analytic and technical skills to innovate and maintain data solutions. Responsibilities include using Open Source technologies for data mining, developing data visualization tools, and ensuring data quality management while collaborating with various stakeholders.
The Senior Manager Data Analyst will refine analytical tools validation frameworks, plan validation projects, assess analytical methods, and communicate findings. They will manage multiple projects, coach junior staff, and collaborate across teams to enhance organizational data usage.
As a Senior Manager Data Analyst, you will lead cross-functional teams to validate and refine analytical tools, ensuring their quality and risk management. Responsibilities include planning and executing validation projects, researching best practices, and mentoring junior staff while enhancing your own technical skills.
As a Sr. Manager Data Analyst, you will validate analytical tools, execute validation projects, assess tool quality, and communicate findings to inform business strategies. The role involves coaching junior staff and fostering a collaborative environment to drive data-driven decisions in retail banking.
As a Senior Manager Data Analyst, you will partner with teams to validate analytical tools, execute validation projects, assess risks, and communicate results. You will also mentor junior staff, identify best practices, and handle multiple projects in a fast-paced environment.
As a Data Analyst, you will work cross-functionally to support growth by collecting and analyzing data across sales, marketing, and product channels. You will build dashboards, structure data sources, and drive strategic decisions through analytical research and collaboration with various stakeholders.
The Principal Data Analyst will innovate, design, and maintain data solutions to solve business problems by utilizing analytic and technical skills. Responsibilities include data mining, developing dashboards, ensuring data quality, and collaborating with tech teams on data management.
As a Principal Data Analyst at Capital One, you will leverage analytic and technical skills to innovate and maintain data solutions. Your work will focus on business intelligence, driving insight through data, and ensuring data quality management principles are followed. You'll collaborate with teams to develop tools and dashboards for data visualization and will need strong scripting skills.
The Sr. Manager Data Analyst - Retail Bank, Reporting and Innovation at Capital One will lead a team and drive analytical work in partnership with Risk Office and Bank leaders. Responsibilities include refining analytical tools validation framework, planning and executing projects, assessing tool methodologies and risks, researching best practices, and mentoring junior staff. Ideal candidate has strong problem-solving, communication, and leadership skills.
The Sr. Manager Data Analyst will manage a small team while driving individual projects focused on analytics, reporting, and innovation within the Retail Bank Risk Office. Responsibilities include refining a validation framework for analytical tools, executing validation projects, assessing methodologies, researching industry best practices, and mentoring junior staff.
The Principal Data Analyst at Capital One will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions for the External Affairs group. Responsibilities include working on data infrastructure, enabling real-time insights, and driving business intelligence and data management initiatives.
As a Principal Data Analyst in External Affairs at Capital One, you'll innovate, build, and maintain data solutions to tackle business problems. You'll analyze business needs and develop tools for data insights and visualization while ensuring data quality and security. Collaborate with tech teams and assist in reimagining data infrastructure for better decision-making.
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.
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