Top Data Analyst Jobs in Japan
As a Data Analyst at EliseAI, you will drive data-driven decision making across various company sectors, refine ambiguous inquiries into actionable data analysis, develop metrics for success, and collaborate with engineers to improve data integrity. Your goal is to unlock new business opportunities through quantitative insights and support executive decision making with clean, accessible client and performance data.
As a Lead Data Analyst at AWeber, you will collaborate with teams to analyze data, uncover insights, automate reporting processes, and enhance dashboard visualizations. Your role involves translating complex data into actionable insights to support marketing and product initiatives, drive business growth, and improve customer solutions.
As a Lead Data Analyst, you will collaborate with various teams to analyze data, deliver actionable insights, automate reporting, and enhance data collection efficiency using tools like SQL and PostHog. Strong communication and teamwork skills are essential for conveying insights to stakeholders and improving business strategies.
As Lead Data Analyst, you will collaborate with various teams to analyze data, uncover trends, and provide actionable insights. You will automate reporting processes and create effective dashboard visualizations to aid decision-making and drive business growth.
As a Lead Data Analyst, you will collaborate with various teams to transform complex data into actionable insights, automate reporting processes, and drive business growth through data-driven initiatives. Your role requires strong analytical skills and proficiency in SQL and analytics tools.
As a Lead Data Analyst, you will collaborate with various teams to analyze complex data, automate reporting processes, and provide actionable insights to drive business growth. Your role includes interpreting data trends and implementing strategies to enhance decision-making across departments.
As a Lead Data Analyst at AWeber, you will partner with Product, Marketing, and Customer Solutions teams to analyze complex data, automate reporting processes, and provide actionable insights to drive business growth.
As the Lead Data Analyst at AWeber, you will collaborate with various teams to analyze data, automate reporting processes, and deliver actionable insights to drive business growth and improve customer solutions. You will also be responsible for understanding stakeholders' data analysis needs and translating complex data into strategic recommendations.
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As the Lead Data Analyst, you will collaborate with Product, Marketing, and Customer Solutions teams to analyze complex data and provide actionable insights that drive business growth. You will automate reporting processes and enhance data visualization using tools like SQL, PostHog, and Redash, while proactively identifying opportunities for data-driven improvements.
As a Data Analyst II, you will support Enterprise Account Executives and Customer Success Managers by providing insights and dashboards, developing alerts, and improving data models. Engaging with teams across the company, you will train colleagues, present findings to leadership, and drive data-driven decision-making in customer analytics.
As a Lead Data Analyst, you will partner with teams across Marketing, Product, Customer Solutions, and Finance to conduct in-depth data analyses, automate reporting processes, and transform insights into strategic business recommendations to drive growth and improve customer service.
As a Wireless CX Data Analyst at DISH, you will analyze customer data to improve experiences, identify pain points, and present insights to stakeholders. You will manage data models and predictive analytics while leveraging machine learning techniques to enhance company understanding of customer behaviors.
The Sales Commission Data Analyst will work with sales leaders on compensation-related projects, develop data-driven solutions for Sales Compensation Plans, analyze data for insights, maintain data models and reporting systems, and collaborate on process improvements.
The Purchasing & Supply Chain Data Analyst will work in a hybrid environment to solve complex business problems using data-driven solutions. Key responsibilities include data analysis, preprocessing structured data, monitoring model effectiveness, and presenting insights through data visualization, while collaborating with cross-functional teams.
The Data Analyst will support the go-to-market and marketing teams at Datadog by developing insights and dashboards, managing projects, improving data quality, and presenting analysis to stakeholders. The role involves deep engagement with sales, product, and marketing data, aiming to enhance data-driven decision-making across teams.
The Associate Data Analyst will work with the Payer team to develop analytics, create dashboards to track business metrics, facilitate data transfers, and improve decision-making through data visualization and interpretation. The role requires collaboration with stakeholders to enhance reporting infrastructure and communicate insights effectively to both technical and non-technical audiences.
As a Data Analyst at RunPod, you will analyze user interaction data to enhance product development and operational efficiency. Your role includes optimizing user engagement, devising retention strategies, monitoring KPIs, collaborating across teams, and presenting insights to management.
As a Senior Marketing Data Analyst at Sendbird, you will drive data-driven decision-making by establishing key metrics, analyzing historical data, and reporting on performance. You'll collaborate with stakeholders, create dashboards, and implement data best practices to enhance business outcomes in a B2B Saas environment.
As a Data Analyst, you will conduct exploratory analyses, build data models, and create dashboards using SQL, Redshift, and Looker. You will communicate insights to stakeholders and collaborate with senior members to inform business strategies. This role focuses on developing a deep understanding of the company's business dynamics.
Seeking Data Analysts to join the growing Data team at Headway. Responsible for analytics and insights needs across the organization, working with partner teams to collect, visualize, and interpret data for better decision-making. Building partnerships between the Data team and the organization through data analysis and creating tools for business stakeholders. Ideal candidates are self-starters, comfortable with ambiguity, excited about building a data-driven culture, and motivated by making an impact.
The Senior Technical Data Analyst will lead deep dive initiatives into large data sets, identify trends and patterns, create AI models, and mentor junior analysts. The role involves collaborating with cross-functional teams to develop data-driven solutions and ensuring data quality and standards. The analyst will also support cloud-based data solutions and contribute innovative ideas to enhance projects.
As a Data Analyst, you will develop business solutions, create reports and dashboards, conduct customer data analysis, and validate key metrics to support merchandising efforts. You will also write clean queries and evaluate solutions to maximize customer impact.
The Compliance Data Analyst will analyze and interpret data to identify compliance risks, support regulatory requirements, and develop risk assessment models. Responsibilities include reporting on compliance metrics, monitoring transactions, improving data management processes, preparing regulatory reports, and collaborating with cross-functional teams while maintaining detailed documentation.
The Senior Healthcare Data Analyst will develop and enhance analytical solutions for strategic business insights, maintain data quality in the healthcare data warehouse, monitor customer behavior trends, and work with cross-functional teams to address data questions and produce actionable insights.
The Data Analyst will analyze and interpret large datasets to influence decision making, create KPIs, and develop Tableau dashboards for improved operational performance. This role involves collaboration with operations leaders to identify efficiencies and present findings clearly to stakeholders.
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