What are the responsibilities and job description for the Ecommerce Data & Analytics Engineer position at Johnson Health Tech North America, Inc?
Job Type
Full-time
Description
WHO WE ARE
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
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
Ecommerce & Customer Journey Analytics
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
Data Strategy & Business Support
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
Requirements
Education:
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
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
Other Requirements:
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.
SKILLS
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.
BENEFITS & PERKS
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
Equal Opportunity Employer, including Protected Veterans and Individuals with Disabilities.
Full-time
Description
WHO WE ARE
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
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
Ecommerce & Customer Journey Analytics
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
Data Strategy & Business Support
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
Requirements
Education:
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
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
Other Requirements:
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.
SKILLS
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.
BENEFITS & PERKS
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
Equal Opportunity Employer, including Protected Veterans and Individuals with Disabilities.