Ecommerce Data & Analytics Engineer

Job not on LinkedIn

🔥 29 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

🦅 H1B Visa Sponsor

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Logo of Johnson & Johnson

Johnson & Johnson

10,000+ employees

Founded 1886

🏥 Healthcare

⚕️ Healthcare Insurance

💊 Pharmaceuticals

Healthcare • Healthcare Insurance • Pharmaceuticals

Johnson & Johnson is a multinational corporation focused on innovating across multiple sectors of healthcare and medicine. With a commitment to redefining healthcare, the company merges science and technology to address complex diseases through its divisions in innovative medicine and medical technology. Its areas of focus include oncology, immunology, neuroscience, and specialty ophthalmology, as well as interventional solutions and orthopaedics. J&J is dedicated to advancing global health equity and environmental sustainability while fostering innovation, diversity, and inclusion in the workplace. The company strives to provide solutions that connect health and care for providers, patients, and communities worldwide.

📋 Description

• Build and maintain scalable data pipelines connecting ecommerce, website analytics, CRM, marketing, POS, ERP, advertising, attribution, and operational systems • Develop and maintain ETL/ELT processes for automated data ingestion, transformation, normalization, and reporting • Establish 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 and resolve data quality, reliability, and performance issues • Maintain documentation for data sources, definitions, integrations, and reporting structures • Build and maintain centralized dashboards and reporting systems for ecommerce, customer lifecycle, retail showroom, marketing, product, and category performance • Combine behavioral, transactional, marketing, and operational data to provide a complete view of business performance • Develop reporting for 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 • Analyze customer journeys across website, ecommerce, marketing, CRM, retail, and post-purchase experiences • Identify friction points and customer drop-off throughout discovery, add-to-cart, checkout, purchase, delivery, and retention journeys • Partner with ecommerce and digital product teams on conversion rate optimization opportunities • Support UX improvements, merchandising decisions, personalization, customer experience initiatives, A/B testing, and experimentation • Analyze product, category, and customer behavior to improve conversion rate, average order value, and ecommerce revenue • Partner with cross-functional teams and leadership to define KPIs and reporting requirements • Establish business definitions, attribution methodologies, and performance measurement standards • Provide data and analysis supporting forecasting, merchandising strategy, inventory optimization, lifecycle marketing, operational planning, and launches • Translate business questions into data requirements, analysis, and actionable recommendations • Provide accurate and timely information for faster, data-driven business decisions • Complete other projects as needed

🎯 Requirements

• Minimum of four-year degree in Computer Science, Data Science, Information Systems, Analytics, Engineering, or related field OR high school diploma/equivalent with equivalent work experience • Minimum 3+ years experience in data engineering, analytics engineering, business intelligence, or a related data-focused role • Experience building and maintaining scalable data pipelines and ETL/ELT processes • Strong SQL experience with the ability to transform, organize, and analyze complex datasets • Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or similar platforms • Proficiency in Python and/or R for data transformation and analysis • Experience integrating APIs, third-party platforms, and multiple data sources • Experience with BI and reporting platforms such as Looker, Tableau, Power BI, Sigma, Metabase, or similar tools • Experience developing data models, schemas, and reporting structures that provide consistent and reliable business reporting • Understanding of ecommerce analytics, customer journey measurement, conversion funnels, attribution, and lifecycle marketing • Experience supporting ecommerce, retail, marketing, CRM, or other customer-focused business functions preferred • Familiarity with customer data platforms, event-based analytics, marketing automation, and A/B testing frameworks preferred • Able to work effectively across cross-functional teams and independently manage data and analytics initiatives • Ability to translate business requirements and complex data into actionable recommendations • Ability to work on multiple projects and priorities at the same time • A valid driver’s license is required for local travel • Must successfully pass pre-employment and annual motor vehicle record (MVR) checks to drive on behalf of the company • Strong analytical and problem-solving skills • Strong SQL, data modeling, and data visualization skills • Strong understanding of ecommerce KPIs and customer journey analytics • Demonstrated effective interpersonal, verbal, and written communication skills • Strong attention to detail and commitment to data quality and reporting accuracy • Ability to prioritize, manage multiple projects, and embrace deadlines

🏖️ Benefits

• Medical, dental, and vision insurance • Company-paid life insurance and AD&D coverage • 401(k) retirement savings plan • Paid time off (PTO) • FSA and HSA options • Employee product discounts • Wellness resources • Employee assistance programs

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