Ecommerce Insights Analyst (In-Person)

Benton Lane

Fayetteville (AR)

On-site

USD 65,000 - 95,000

Full time

14 days+

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Job summary

Benton Lane is seeking an eCommerce Data Analyst to own reporting across our home-brand portfolio and turn ERP data into actionable business insights. You’ll connect Shopify, Klaviyo, and ERP data, build dashboards, and pursue data-driven improvements across product, inventory, and operations.

You’ll work closely with leadership and teams across marketing, inventory, and manufacturing to ensure data reliability and impactful decisions. A can-do mindset and comfort with messy data are essential.

Qualifications

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.

Responsibilities

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.