• Design, develop, and implement end-to-end systems (ETL, APIs, and integrated applications) • Build scalable ETL pipelines for high-volume batch and real-time data processing • Develop applications using Java, Python, and Spring-based frameworks • Design and maintain RESTful APIs and API documentation (Swagger/OpenAPI) • Integrate messaging and streaming solutions (e.g., ActiveMQ, RabbitMQ) • Apply object-oriented principles and troubleshoot across application and data layers • Containerize and deploy solutions using Docker/Kubernetes in cloud environments (AWS/Azure) • Ensure application security using OWASP standards and best practices • Collaborate with clients to gather requirements and deliver technical solutions • Produce technical documentation, system designs, and process flows • Support testing, deployment, and continuous improvement efforts

Role Description Yamaha is seeking a motivated Digital Analytics Intern to join our Web Analytics team. This role is ideal for someone passionate about data, digital marketing, and music. You will work closely with the Sr. Manager of Web & Digital Analytics to analyze performance across our digital platforms, helping shape our marketing strategies and enhance customer experiences. As a Digital Analytics Intern, you will have the opportunity to work on projects for Yamaha's musical instruments and audio/visual products. You’ll be involved in every stage of marketing projects, from concept to launch, and will gain valuable experience to enhance your portfolio. We seek an intern who is a genuine team member, eager to learn from our experienced team and contribute meaningfully. The ideal candidate brings authenticity and a strong desire to learn. We are recruiting for the following term: July 2026 – January 2027. This is a fully remote paid internship up to $16.90/hr. - Assist in the analysis of website traffic, user behavior, and performance metrics using tools like Google Analytics and Google Search Console. - Assist in developing reports and dashboards on digital campaign performance, website usage, and customer engagement. - Contribute to the enhancement of data collection, tagging, analysis, and visualization practices. - Work on A/B testing and other experiments to optimize user experience and increase conversion rates. - Collaborate with Development and other cross-functional teams to ensure data accuracy and accessibility. Qualifications - Must be a junior or senior from an accredited university OR have graduated within a year with a degree in Marketing, Business Analytics, Music Business, Data Science, Information Systems, Statistics, Economics, Communications or a combination thereof. - Must be able to work full time (M-F 8:30-5pm) during internship. - Experience with site analytics tools (e.g., Google Analytics, Adobe Analytics). - Must be able to communicate effectively both verbally and in writing. - Strong analytical skills and attention to detail. - A passion for music and technology. Requirements - Experience presenting information to key stakeholders (a plus, but not required). - Familiarity with digital marketing channel tactics (e.g., CRM, SEO, CPC, Social) and measurement (a plus, but not required). - Experience with Tableau, Power BI, or similar data visualization tool (a plus, but not required). - Experience with Google Tag Manager or similar tag management solution (a plus, but not required). - Knowledge of RegEx, JavaScript, SQL, or HTML (Elements/CSS/DataLayer) (a plus, but not required). - Familiarity with ETL (Extract/Transform/Load) tools (a plus, but not required). - Social media marketing and/or advertising experience (a plus, but not required). - Appreciation of music and sound (a plus, but not required).

• Design, build, and maintain curated datasets in dbt Cloud that power GTM and corporate reporting across the full revenue lifecycle • Own metric definitions and ensure consistent logic across recurring reporting, reducing duplicated, ambiguous or conflicting calculations • Investigate data discrepancies end-to-end: trace issues across transformation layers, validate outputs against source systems (e.g. Salesforce), and resolve root causes • Document core datasets and metric definitions in dbt YAML so that both human users and AI-powered query tools inherit accurate, consistent context • Translate complex business logic into clean, well-tested data models • Support a limited set of downstream reporting and one-off analytical requests, especially where they help refine or pressure-test the underlying data model • Over time, grow into more direct partnership with business stakeholders to improve reporting clarity, usability, and trust

• lead a dynamic team, working closely with various business units • translate complex business requirements into actionable data solutions • communicate analytics insights clearly for data-driven decision-making • collaborate with Sales, Marketing, Finance, Product Managers, and Engineering teams • define and own the multi-year technical vision and strategy for Analytics Engineering • lead, coach, and develop a team of Senior Analytics Engineers • advocate for investment in resources by constructing business cases for senior leadership • ensure analytics data estate is treated as a product with clear ownership and quality standards • oversee reliability, scalability, and accuracy of Paddle's analytics data estate • maintain high standards of data governance, data quality, and documentation across the group • create and maintain a culture of continuous learning