Ecommerce Data & Analytics Engineer

WHO WE ARE

Johnson Health Tech is one of the worlds 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

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 drivers 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.