DIGITAL ANALYST

Harnham; New York (NY); On-site; USD 70,000 - 90,000; Full time

Job summary

Harnham in New York is seeking a Digital Analyst to join its expanding analytics function. You will translate digital data into actionable recommendations, focusing on ecommerce performance and customer behavior across channels.

You will use SQL, Excel, Tableau, and Adobe Analytics to analyze website and ecommerce data, build dashboards, and design A/B tests. The role requires 2+ years in digital analytics and the ability to communicate insights to stakeholders.

Qualifications

• 2+ years of experience in Digital Analytics, Ecommerce Analytics, or a closely related field.
• Experience with SQL and Excel.
• Experience with Adobe Analytics is strongly preferred.
• Familiarity with Tableau or similar data visualization tools.
• Understanding of A/B and multivariate testing and statistical methodologies.

Responsibilities

• Analyze website, customer, and ecommerce data to identify trends, opportunities, and performance drivers.
• Build and maintain dashboards and reporting around key digital KPIs.
• Design and analyze A/B and multivariate tests, translating results into recommendations.
• Partner with Product, Digital Merchandising, CRM, and Media teams to define measurement strategies and optimize performance.
• Support analytics implementation across tagging, event tracking, and data quality.

Skills

SQL

Excel

Adobe Analytics

Tableau

A/B testing

Multivariate testing

Digital analytics

Ecommerce analytics

Stakeholder communication

Education

Bachelor's degree in quantitative or analytical field

Job description

A leading consumer organization is continuing to invest heavily in its digital and ecommerce capabilities and is looking for a Digital Analyst to join its growing analytics function.

The business is focused on becoming increasingly customer-centric in how it approaches ecommerce, using data to better understand online behavior, improve the shopping experience, and drive digital growth. This role will work closely with teams across Digital Merchandising, Product, CRM, Media, and Ecommerce.

THE ROLE

As a Digital Analyst, you will play a key role in understanding what is driving digital performance and translating customer and website data into actionable recommendations.

You will:

• Analyze website, customer, and ecommerce data to identify trends, opportunities, and performance drivers
• Use Adobe Analytics, SQL, Tableau, and Excel to conduct analysis and deliver actionable insights
• Build and maintain dashboards and reporting around key digital KPIs
• Design and analyze A/B and multivariate tests, translating results into recommendations
• Partner with Product, Digital Merchandising, CRM, and Media teams to define measurement strategies and optimize performance
• Support analytics implementation across tagging, event tracking, and data quality
• Work with platforms including Adobe Launch, GA4, and Google Tag Manager
• Conduct proactive and ad hoc analysis to answer key business questions and uncover opportunities
• Apply statistical testing methodologies to validate findings and communicate results to non-technical stakeholders
• Identify opportunities to improve digital data quality and follow through on implementation
• Present insights and recommendations that influence stakeholders and business decisions

YOUR SKILLS & EXPERIENCE

• 2+ years of experience in Digital Analytics, Ecommerce Analytics, or a closely related field
• Strong SQL and Excel skills
• Experience analyzing digital customer journeys, website performance, and ecommerce behavior
• Experience with Adobe Analytics strongly preferred
• Experience with Tableau or similar data visualization tools
• Understanding of A/B testing, multivariate testing, and statistical methodologies
• Strong understanding of digital and ecommerce metrics and terminology
• Ability to turn complex data into clear, commercially relevant insights and recommendations
• Comfortable partnering with both technical and non-technical stakeholders
• Ability to work independently, navigate ambiguity, and proactively identify opportunities
• Bachelor's degree in a quantitative or analytical discipline such as Statistics, Economics, Mathematics, Marketing Analytics, Finance, Engineering, or a related field