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E-Commerce Optimization Specialist

1 month ago

Chanhassen, Minnesota, United States Insight Global Full time
E-Commerce Optimization Specialist

We are seeking a highly skilled E-Commerce Optimization Specialist to join our team at Insight Global. As an E-Commerce Optimization Specialist, you will play a pivotal role in optimizing our digital presence and driving business success through data-driven insights.


Your expertise in conversion rate optimization (CRO), web performance, and data analysis will directly enhance user experience, increase traffic, and drive revenue growth across our e-commerce platforms.


In this role, you will lead strategic digital initiatives, providing critical insights to optimize performance, improve user engagement, and boost conversions.


Key Responsibilities:
  • Conversion Rate & Funnel Optimization:

Enhance user journeys by analyzing and optimizing conversion paths, purchase funnels, and checkout processes to maximize conversion rates.


  • A/B Testing & Site Performance:

Lead A/B and multivariate testing initiatives to evaluate the impact of different page elements on user behavior and overall site performance, improving user experience and engagement.


  • SEO & Content Optimization:

Analyze website traffic, user behavior, and SEO performance to develop actionable insights. Collaborate with content, marketing, and development teams to refine keyword strategies and optimize content for better engagement and visibility.


  • Data-Driven Strategy:

Collaborate with key stakeholders (product, marketing, developers, data engineers) to implement robust tracking and analytics systems. Ensure multichannel data integration and streamline data collection processes to support decision-making.


  • Reporting & Visualization:

Generate regular and ad hoc reports on key performance metrics, including traffic, conversion, and engagement. Leverage tools like Adobe Analytics Workspace and Snowflake to analyze shopper behavior and create data visualizations in DOMO.


  • Advanced Data Handling:

Work closely with data engineers to define and manage production datasets. Apply SQL logic to extract and analyze data, aligning findings with broader business objectives.


  • Cross-Functional Collaboration:

Partner with marketing, merchandising, product, and development teams to ensure analytics efforts align with overall business goals, and support data-driven decision-making across departments.


We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.


We are an equal opportunity/affirmative action employer that believes everyone matters.

Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.