Data Analytics Engineer

Johnson Health Tech is one of the world’s largest and fastest-growing fitness equipment manufacturers, delivering innovative solutions that help people live healthier lives. Through our award-winning portfolio of commercial and residential brands, we serve customers in more than 60 countries worldwide. Mission Statement : To delight and excite our customers through truly innovative products, unsurpassed quality, and best-in-class customer experience provided by a world-class organization. POSITION OVERVIEW Johnson Fitness & Wellness is seeking an Ecommerce Data & Analytics Engineer to develop and maintain the data infrastructure, reporting systems, and analytics capabilities supporting our ecommerce and omnichannel business. This position is responsible for integrating data across ecommerce, website analytics, CRM, marketing, retail POS, ERP, and operational systems to create a centralized and reliable view of business and customer performance. The successful candidate will have demonstrated experience building scalable data pipelines and reporting solutions, with the ability to translate complex datasets into actionable business insights. This position will work closely with ecommerce, digital product, marketing, CRM, retail operations, merchandising, and leadership teams to improve visibility into the customer journey, identify growth opportunities, and support data-driven decision making. RESPONSIBILITIES Data Engineering & Integration Build and maintain scalable data pipelines that connect ecommerce, website analytics, CRM, marketing, POS, ERP, advertising, attribution, and operational systems Develop and maintain ETL/ELT processes to automate data ingestion, transformation, normalization, and reporting Establish reliable data models, schemas, and reporting standards to improve data consistency and accuracy Integrate APIs and third-party data sources into centralized data and reporting environments Monitor data pipelines and reporting processes to identify and resolve data quality, reliability, and performance issues Maintain documentation for data sources, definitions, integrations, and reporting structures Reporting & Analytics Build and maintain centralized dashboards and reporting systems supporting ecommerce, customer lifecycle, retail showroom, marketing, product, and category performance Combine behavioral, transactional, marketing, and operational data to create a more complete view of business performance Develop reporting for key ecommerce metrics including traffic, product engagement, add-to-cart activity, checkout behavior, conversion, revenue, average order value, and product performance Develop customer and lifecycle reporting incorporating CRM, email engagement, segmentation, attribution, and purchase behavior #J-18808-Ljbffr