Ecommerce Data & Analytics Engineer

🕒 Setembro 8

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

📊 Engenheiro de Analytics

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Johnson & Johnson

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1886

🏥 Saúde

⚕️ Seguro de Saúde

💊 Farmacêutico

Healthcare • Healthcare Insurance • Pharmaceuticals

Johnson & Johnson é uma empresa global de saúde que descobre, desenvolve, fabrica e comercializa medicamentos, terapias e dispositivos médicos em várias áreas terapêuticas, incluindo oncologia, neurociência, imunologia, cuidados cardiopulmonares e cardiovasculares, ortopedia, cirurgia e visão. A empresa opera programas de pesquisa e desenvolvimento em grande escala, desenvolvimento clínico e fabricação, além de estar ativa em programas para funcionários, sustentabilidade, iniciativas de saúde global e engajamento comunitário em todo o mundo.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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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