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Data Analyst Ecommerce Jobs (NOW HIRING)

The Analyst, Ecommerce Experience helps improve the customer experience and business performance across Skechers.com and the mobile app by turning data into actionable insights. This role supports ...

The Analyst, Ecommerce Experience helps improve the customer experience and business performance across Skechers.com and the mobile app by turning data into actionable insights. This role supports ...

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Data Analyst Ecommerce information

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$34K

$82.6K

$136K

How much do data analyst ecommerce jobs pay per year?

As of Jul 12, 2026, the average yearly pay for data analyst ecommerce in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Data Analyst Ecommerce on a day-to-day basis?

A Data Analyst Ecommerce is typically responsible for gathering, cleaning, and analyzing large sets of sales, customer, and web traffic data to uncover trends and business opportunities. They may develop dashboards, create reports for management, and provide actionable insights to help optimize marketing campaigns, website performance, or inventory management. Collaboration is usually frequent with marketing, product, and IT teams to ensure data accuracy and to align recommendations with business goals. On a typical day, tasks can include running A/B tests, monitoring key performance indicators (KPIs), and presenting summary findings to a diverse set of stakeholders. This dynamic role offers a mix of technical analysis and strategic input that can directly impact the company's bottom line.

What does a Data Analyst Ecommerce do?

A Data Analyst in Ecommerce analyzes online sales data, customer behavior, and market trends to help businesses make data-driven decisions. They work with large datasets, using tools like SQL, Python, Excel, and BI platforms to generate insights. Their tasks often include tracking key performance metrics, identifying patterns, optimizing marketing strategies, and improving the customer experience. Ultimately, they help drive revenue growth and operational efficiency through data analysis.

What are the key skills and qualifications needed to thrive in the Data Analyst Ecommerce position, and why are they important?

Excelling as a Data Analyst Ecommerce requires strong analytical skills, experience in data modeling, statistical analysis, and a relevant degree in statistics, mathematics, computer science, or a similar field. Proficiency in SQL, Excel, data visualization tools (such as Tableau or Power BI), and ecommerce platforms is highly valued, as are certifications like Google Analytics or relevant data analytics credentials. Attention to detail, critical thinking, and effective communication help Data Analysts collaborate with cross-functional teams and communicate findings to non-technical stakeholders. These abilities are vital for identifying actionable insights, driving business performance, and influencing data-driven decision-making in a fast-paced ecommerce environment.

More about Data Analyst Ecommerce jobs
What are the most commonly searched types of Data Analyst Ecommerce jobs? The most popular types of Data Analyst Ecommerce jobs are:
Infographic showing various Data Analyst Ecommerce job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst - eCommerce Analytics

Full-time

Posted 13 days ago


Tailored Brands rating

6.8

Company rating: 6.8 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

27th of 104 rated fashion retailers


Job description

Job Summary:
Tailored Brands, Inc. is a leading specialty retailer of menswear, and they are seeking a Data Analyst - eCommerce Analytics to join their Enterprise Analytics team. The primary responsibility of this role is to extract actionable insights from data to optimize eCommerce performance and collaborate with various teams to drive data-driven decisions.
Responsibilities:
• Data Collection: Partner with operations to track customer actions on the website through Google Tag Manager and Google Analytics.
• Data Analysis: Dive deep into customer behavior data in Google Analytics, sales data in Snowflake, and aggregated data in Power BI dashboards to identify trends, patterns, and opportunities to increase conversion, average order value, and traffic.
• Reporting: Create clear, concise, and insightful dashboards via Power Bi, Looker Studio, and Excel Pivots.
• Presentations: Present analyses in a clear, interpretable, and applicable way that can be shared widely, communicating effectively with both technical and non-technical partners.
• Collaborate: Partner with data engineering, ecommerce teams, and across analytics to share learnings, align on methodologies and leverage best practices.
Qualifications:
Required:
• Bachelor’s degree in statistics, business, merchandising, or a related field is required.
• Minimum of 3 years career experience in ecommerce or analytics.
• Google Analytics: Proficiency in analyzing data in GA is required.
• SQL: Proficiency in querying databases for data extraction is required.
Preferred:
• Power BI is Preferred
• Experience visualizing insights effectively using Power BI, Tableau or similar tools
Company:
Our Purpose: We help people love the way they look and feel for their most important moments. Founded in 1973, the company is headquartered in Fremont, USA, with a team of 10001+ employees. The company is currently Late Stage.

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