WEB ANALYTICS & OPTIMIZATION ANALYST

Harnham; New York (NY); On-site; USD 70,000 - 110,000; Full time

Job summary

Harnham is seeking a Web Analytics & Optimization Analyst to dig into how customers behave on the website and influence ecommerce performance. You will work with teams across Ecommerce, Product, Digital Merchandising, CRM, and Media to uncover opportunities and drive smarter digital decisions.

You will design and analyze experiments, build dashboards, and shape measurement strategies for new features and campaigns, leveraging Adobe Analytics, SQL, and Tableau.

Qualifications

• 2+ years of experience across Web Analytics, Digital Analytics, Ecommerce Analytics, or related area.
• Strong SQL and Excel skills.
• Experience analyzing website performance, conversion funnels, customer journeys, and ecommerce behavior.
• Experience with Adobe Analytics strongly preferred.
• Experience with Tableau or another visualization platform.
• Knowledge of A/B testing, experimentation, and statistical analysis.
• Familiarity with GA4, Google Tag Manager, or Adobe Launch is beneficial.
• Strong understanding of web and ecommerce KPIs.
• Ability to translate data into clear, commercially relevant recommendations.
• Confidence communicating insights to both technical and non-technical stakeholders.

Responsibilities

• Analyze website and ecommerce behavior to understand customer journeys, conversion, engagement, and performance.
• Use Adobe Analytics, SQL, Tableau, and Excel to uncover insights and identify opportunities for improvement.
• Explore conversion funnels and identify areas of friction throughout the online customer journey.
• Build dashboards and reporting that make digital performance easy for stakeholders to understand and act on.
• Design and analyze A/B and multivariate experiments to understand what genuinely improves the customer experience.
• Partner closely with Product, Ecommerce, Digital Merchandising, CRM, and Media teams on high-impact initiatives.
• Help shape measurement strategies for new digital experiences, features, and campaigns.
• Work with Adobe Launch, GA4, and Google Tag Manager across tagging, event tracking, and analytics implementation.
• Conduct proactive analysis to identify trends and opportunities hidden within the data.
• Apply statistical methodologies to validate findings and strengthen recommendations.
• Improve the quality and reliability of digital analytics data.
• Translate complex analysis into clear recommendations that influence business and product decisions.

Skills

Web analytics

SQL

Excel

Adobe Analytics

Tableau

A/B testing

GA4

Google Tag Manager

Communicating insights

Education

Bachelor's degree in quantitative field

Tools

GA4

Google Tag Manager

Adobe Launch

Job description

Join a leading consumer brand that is making significant investments in its ecommerce and digital experience capabilities.

With digital becoming an increasingly important part of the business, the team is using data to better understand how customers discover, navigate, and shop online. They are looking for a Web Analytics & Optimization Analyst who wants their work to have a visible impact on the customer experience and commercial performance.

You will join a collaborative analytics environment and work directly with teams across Ecommerce, Product, Digital Merchandising, CRM, and Media.

THE OPPORTUNITY

This is an opportunity to go beyond simply reporting on what happened.

You will dig into how customers behave across the website, identify where opportunities exist, and help the business make smarter decisions around the digital experience.

From understanding conversion funnels and customer journeys to evaluating experiments and uncovering opportunities for growth, your analysis will directly influence how the organization improves its ecommerce experience.

You will:

• Analyze website and ecommerce behavior to understand customer journeys, conversion, engagement, and performance
• Use Adobe Analytics, SQL, Tableau, and Excel to uncover insights and identify opportunities for improvement
• Explore conversion funnels and identify areas of friction throughout the online customer journey
• Build dashboards and reporting that make digital performance easy for stakeholders to understand and act on
• Design and analyze A/B and multivariate experiments to understand what genuinely improves the customer experience
• Partner closely with Product, Ecommerce, Digital Merchandising, CRM, and Media teams on high-impact initiatives
• Help shape measurement strategies for new digital experiences, features, and campaigns
• Work with Adobe Launch, GA4, and Google Tag Manager across tagging, event tracking, and analytics implementation
• Conduct proactive analysis rather than waiting for questions, identifying trends and opportunities hidden within the data
• Apply statistical methodologies to validate findings and strengthen recommendations
• Improve the quality and reliability of digital analytics data
• Translate complex analysis into clear recommendations that influence business and product decisions

YOUR SKILLS & EXPERIENCE

• 2+ years of experience across Web Analytics, Digital Analytics, Ecommerce Analytics, or a related area
• Strong SQL and Excel skills
• Experience analyzing website performance, conversion funnels, customer journeys, and ecommerce behavior
• Experience with Adobe Analytics strongly preferred
• Experience with Tableau or another visualization platform
• Knowledge of A/B testing, experimentation, and statistical analysis
• Familiarity with tools such as GA4, Google Tag Manager, or Adobe Launch is beneficial
• Strong understanding of web and ecommerce KPIs
• Curiosity to dig beyond surface-level reporting and understand why performance is changing
• Ability to translate data into clear, commercially relevant recommendations
• Confidence communicating insights to both technical and non-technical stakeholders
• Ability to work independently, navigate ambiguity, and proactively uncover opportunities
• Bachelor's degree in a quantitative or analytical discipline such as Statistics, Economics, Mathematics, Marketing Analytics, Finance, Engineering, or a related field