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E Commerce Data Analyst Jobs (NOW HIRING)

Job Title: eCommerce Data Analyst Location: Fayetteville, AR (In-Person, Full-Time) About Benton Lane Benton Lane is a fast-growing family of eCommerce brands creating beautiful products for the home.

Data Analyst Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Analyst Retail & E-Commerce to support reporting and analytics for retail ...

Data Analyst Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Analyst Retail & E-Commerce to support reporting and analytics for retail ...

WI · On-site

Position Overview Johnson Fitness & Wellness is seeking an Ecommerce Data & Analytics Engineer to develop and maintain the data infrastructure, reporting systems, and analytics capabilities ...

New

$93K - $123K/yr

In this role, you will ensure UMG's eCommerce data products are AI-ready by design--governed ... These products will power reporting, analytics, predictive modeling, AI applications, intelligent ...

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E Commerce Data Analyst information

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$34K

$82.6K

$136K

How much do e commerce data analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for e commerce data analyst 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 is an e commerce data analyst?

An E Commerce Data Analyst is a professional who collects, processes, and analyzes data related to online sales and customer behavior on e-commerce platforms. Their main goal is to help businesses make data-driven decisions by identifying trends, measuring performance, and providing actionable insights. They work with various data sources, such as website analytics, sales reports, and customer feedback, to optimize marketing strategies, improve user experience, and increase sales. E Commerce Data Analysts often use tools like Excel, SQL, Google Analytics, and data visualization software to perform their work.

What are the key skills and qualifications needed to thrive as an e commerce data analyst?

To thrive as an E-Commerce Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or business analytics, typically supported by a relevant degree. Familiarity with tools such as Google Analytics, SQL, Excel, and data visualization platforms like Tableau or Power BI is essential. Excellent problem-solving, communication, and attention to detail help analysts interpret data trends and convey actionable insights to stakeholders. These competencies are crucial for driving data-informed decisions that optimize online sales performance and improve the customer experience.

What are some common challenges faced by e commerce data analysts when interpreting online sales data?

One common challenge E-Commerce Data Analysts face is distinguishing between causation and correlation in online sales trends, as multiple factors—like promotions, seasonality, and website changes—can influence customer behavior. Additionally, integrating data from various platforms (such as website analytics, CRM systems, and marketing tools) may require cleaning and standardization to ensure accuracy. Analysts must also navigate rapidly changing datasets and provide actionable insights quickly to inform business decisions, often collaborating closely with marketing, product, and IT teams.

What is the difference between E Commerce Data Analyst vs Digital Marketing Analyst?

AspectE Commerce Data AnalystDigital Marketing Analyst
Required CredentialsBachelor's in Data Analytics, Business, or related field; proficiency in SQL, Excel, analytics toolsBachelor's in Marketing, Business, or related; knowledge of SEO, SEM, analytics platforms
Work EnvironmentRetail/e-commerce companies, online platforms, tech firmsAdvertising agencies, marketing departments, online brands
Employer & Industry UsageFocuses on analyzing e-commerce sales, customer behavior, website performanceFocuses on campaign performance, customer engagement, digital strategy

The E Commerce Data Analyst primarily analyzes online sales data, customer behavior, and website metrics to optimize e-commerce performance. In contrast, the Digital Marketing Analyst concentrates on evaluating marketing campaigns and digital strategies. While both roles require data analysis skills and familiarity with analytics tools, their focus areas and industry applications differ, making each role essential for specific business objectives in the digital space.

What cities are hiring for E Commerce Data Analyst jobs?

Cities with the most E Commerce Data Analyst job openings:

What states have the most E Commerce Data Analyst jobs?

States with the most job openings for E Commerce Data Analyst jobs include:

What are popular job titles related to E Commerce Data Analyst jobs?

For E Commerce Data Analyst jobs, the most frequently searched job titles are:

Infographic showing various E Commerce Data Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

eCommerce Data Analyst

Fayetteville, AR • On-site

Other

Posted 6 days ago


Job description

Job Title: eCommerce Data Analyst 

Location: Fayetteville, AR (In-Person, Full-Time)


About Benton Lane


Benton Lane is a fast-growing family of eCommerce brands creating beautiful products for the home. Our portfolio includes Painted Paper, Lemon Park, Aspen&Arlo, Hillcroft Home, and other growing brands across home and gift.


We’re a small, ambitious team working at the intersection of eCommerce, design, technology, AI, and physical production. We manufacture in the U.S., operate multiple brands, and use technology to move faster—from custom Shopify experiences to internal automation and AI-powered workflows.


This is a startup-style environment: priorities move quickly, good ideas get implemented, and individual contributors have a meaningful impact on how the company operates.


This role is the data seat on our team. Your work will help answer some of the most important questions in the business: What should we make more of? What should we stop making? Where are we growing? Where are we losing margin? And where should we invest next?


What You’ll Do


  • Own reporting and data discovery across our brands. You’ll model data, build useful views and dashboards, and help determine which metrics deserve the attention of leadership and our technology team.
  • Turn ERP data into business decisions. You’ll spend significant time working with the data behind our products, orders, inventory, production, and operations—finding patterns and answering real questions with numbers.
  • Bring our data together. Build and maintain pipelines that connect Shopify, Klaviyo, Fulfil (our ERP), and other systems into a reliable source of truth.
  • Dig deeper than the dashboard. Investigate anomalies, test assumptions, and perform ad hoc analysis when the business needs an answer—not just another report.
  • Use AI as part of your everyday toolkit. Use LLMs to accelerate querying and analysis, classify messy information, extract structure from unstructured data, and build evaluations that verify AI-generated outputs before the business relies on them.
  • Build trust in the numbers. Catch the confident wrong answer—whether it came from a person, a dashboard, a query, or a model.
  • Help shape how Benton Lane uses data. We’re still building. You’ll have the opportunity to influence our data models, reporting standards, tools, workflows, and how teams across the company make decisions.


What We’re Looking For


You don’t need to check every box. We care about curiosity, judgment, and the ability to figure things out.


  • 2–5 years of experience in data analytics, business intelligence, or a similar role
  • Strong SQL skills and comfort working directly with relational data
  • Experience extracting and working with data from REST APIs
  • Experience with Shopify, Klaviyo, ERP systems, or similar eCommerce platforms is a plus
  • Experience building dashboards in a BI tool such as Looker, Metabase, Tableau, or Power BI—we care more about your judgment than which tool you’ve used
  • Hands-on experience using AI in analytical work, whether through LLM-assisted querying and analysis, agentic tools, data classification/extraction, or preparing data for AI systems
  • Strong analytical instincts and a willingness to question results that don’t make sense
  • Ability to communicate findings clearly to both technical and non-technical teammates
  • Experience with eCommerce, retail, inventory, manufacturing, or product data is a plus


You’ll Probably Thrive Here If You…


  • Like getting into messy data and figuring out what’s actually going on
  • Are comfortable moving between SQL, dashboards, APIs, spreadsheets, and AI tools
  • Ask “does this number make sense?” before presenting it
  • Can balance speed with accuracy
  • Want ownership early and are excited to help build systems rather than inherit finished ones


Why This Role Is Different


  • You’ll be close to the decisions. You’ll work directly with our CTO and company leadership, and your analysis will influence product, marketing, inventory, production, and investment decisions.
  • You’ll see the whole business. Because we’re vertically integrated, our data spans the customer journey from marketing and eCommerce through manufacturing, inventory, fulfillment, and financial performance.
  • You’ll get to build, not just maintain. Our data stack and AI workflows are evolving quickly. You’ll have significant input into what we build next and how we build it.
  • Your work will have visible impact. This isn’t a role where analysis disappears into a slide deck. The goal is to turn data into better decisions—and then see those decisions play out across the business.


We’re looking for someone who wants to join the team and build with us. We are not considering agencies, contractors, or third-party service providers for this position.