As Senior Power BI Analyst, you will be instrumental in developing and optimizing data solutions that drive insightful business decisions, working closely with data analysts and other stakeholders to create interactive and actionable dashboards and reports. The ideal candidate will have a strong background in PowerBI, SSRS, SQL, Azure, and data visualization tools.

Help elevate client-facing functions—Sales, Customer Success, Customer Strategy, and Marketing—by turning data into actionable insights that drive deeper client relationships and revenue growth. You will build and maintain analytical tools, visualizations, and dashboards to highlight trends and patterns, craft clear data narratives, and guide stakeholders in making decisive decisions.

A crucial role in understanding product performance. Responsibilities include analyzing market data, tracking product metrics, and providing insights to improve product performance and user experience. Focus on data analysis & reporting, market & competitor analysis, and collaboration with cross-functional teams.

We are seeking a skilled and experienced Software Engineer for our growing Data Platform team. You will be responsible for designing, developing and maintaining our data infrastructure, including data pipelines and data warehouses. This role will play a pivotal part in driving our data strategy, enabling advanced analytics, and supporting Generative AI and Machine Learning operations at scale.

Drive innovation and simplicity by identifying opportunities and process improvements to gain efficiencies. At least 3 years of experience with Data Analysis using SQL as primary tool. At least 3 years of database knowledge and performing data cleaning, preparation, adhoc queries, report validation, and formatting.

Become an integral core member of a group supporting the world’s largest ticketing system as you lead the end-to-end database migration project from legacy databases to Oracle. You will design and implement efficient data migration processes, ensuring data integrity and performance, while also providing guidance and mentorship to junior DBAs assisting in the migration effort.

PayPay's growth is driving a rapid expansion of PayPay product teams and the need for a robust Data Engineering Platform. The DaaS team’s responsibility is to design, implement, and operate this platform using cutting edge technologies. Seeking Data Engineers to help scale the platform.

As a Data Engineering Intern, you will work with the Business Intelligence team to help extract, transform, and load (ETL) data from both internal and external sources into a Snowflake data warehouse, gaining experience using tools such as SQL, Airflow, and Google Cloud.

Expand and improve the data and data pipeline architecture, as well as optimizing data flow and MDM for cross-functional teams. Design, develop, and operate large-scale data pipelines to support internal and external consumers. Integrate data sources to meet business requirements. Write robust, maintainable, well-documented code.

Support daily data science team activities, including data collection, cleaning, and preprocessing. Build and optimize machine learning models and conduct exploratory data analysis (EDA) to develop dashboards and visualizations for insights. This is a time-limited internship opportunity.