Ecommerce Data & Analytics Engineer

Johnson Health Tech Companies • Cottage Grove, WI

1d • Onsite

About The Position

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.

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
• A quick learner with the ability to translate business requirements and complex data into actionable recommendations
• An ability to work on multiple projects and priorities at the same time
• A valid driver’s license is required for local travel
• Position will be subjected to pre-employment and annual motor vehicle record (MVR) checks. Must be able to successfully pass MVR checks to drive on behalf of the company.
• Ability to translate business requirements into technical data and reporting requirements
• Strong analytical and problem-solving skills
• Ability to translate complex datasets into clear, actionable business insights
• Strong SQL, data modeling, and data visualization skills
• Ability to collaborate with a wide variety of internal teams and stakeholders
• Strong attention to detail with an emphasis on data quality and reporting accuracy
• Ability to communicate technical information clearly to technical and non-technical audiences
• Ability to multi-task, prioritize, and manage multiple projects
• Ability to identify opportunities to improve processes, reporting efficiency, and business performance
• Strong understanding of ecommerce KPIs and customer journey analytics
• Demonstrated effective interpersonal, verbal, and written communication skills.
• Strong sense of initiative and a sense of urgency, demonstrated by accomplishing tasks, improving current work processes, and assisting others when necessary.
• Unwavering attention to detail and commitment to world-class quality.
• Ability to embrace deadlines.
• Able to project a positive and professional demeanor to all internal and external contacts.

Nice To Haves

• Experience supporting ecommerce, retail, marketing, CRM, or other customer-focused business functions
• Familiarity with customer data platforms, event-based analytics, marketing automation, and A/B testing frameworks

Responsibilities

• 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
• 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
• Create reporting that improves visibility into retail and ecommerce performance across digital and physical customer touchpoints
• Identify trends, anomalies, performance gaps, and growth opportunities and communicate findings to business stakeholders
• Analyze the customer journey across website, ecommerce, marketing, CRM, retail, and post-purchase experiences
• Identify friction points and customer drop-off throughout product discovery, add-to-cart, checkout, purchase, delivery, and retention journeys
• Partner with ecommerce and digital product teams to identify conversion rate optimization opportunities
• Provide data and reporting necessary to support UX improvements, merchandising decisions, personalization, and customer experience initiatives
• Support A/B testing and experimentation by establishing measurement requirements, reporting results, and evaluating business impact
• Analyze product, category, and customer behavior to identify opportunities to improve conversion rate, average order value, and ecommerce revenue
• Partner with ecommerce, digital product, marketing, CRM, merchandising, retail operations, and leadership teams to define KPIs and reporting requirements
• Help establish consistent business definitions, attribution methodologies, and performance measurement standards
• Provide data and analysis supporting forecasting, merchandising strategy, inventory optimization, lifecycle marketing, and operational planning
• Support new product, brand, and category launches through performance measurement and customer behavior analysis
• Translate business questions into data requirements, analysis, and actionable recommendations
• Provide accurate and timely information that enables teams and leadership to make faster, data-driven business decisions
• Other projects as needed

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, and employee assistance programs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree