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Shopify Data Analyst Jobs (NOW HIRING)

Valid8 Financial, Inc.

NY · On-site

$80 - $100/hr

... data best practices: attributes, taxonomy, SEO‑friendly content, and image standards * Proficiency with Shopify admin, bulk CSV operations, and common e-commerce integrations * Analytical mindset ...

makesy

Production Scheduler

Haltom City, TX · On-site

Stand up reporting (dashboards, NetSuite/Shopify data pulls, whatever's needed) so leadership can ... Engineering mindset -- comfortable with time studies, process mapping, root-cause analysis, and ...

Formlabs

Business Systems Analyst

Somerville, MA · On-site

Map out current and future state workflows, identifying bottlenecks in how data flows between systems (e.g., Shopify to Salesforce to ERP). * Data & Analytics: Collaborate with the Data team to ...

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Shopify Data Analyst information

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How much do shopify data analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for shopify 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 a Shopify data analyst?

A Shopify Data Analyst is responsible for analyzing e-commerce data to help businesses optimize their Shopify stores. They gather, process, and interpret sales, customer behavior, and website performance data to identify trends and opportunities. Their role often includes creating dashboards, tracking key performance indicators (KPIs), and providing actionable insights to improve conversions and revenue. They use tools like Google Analytics, Shopify reports, SQL, and Excel to generate data-driven recommendations. Additionally, they collaborate with marketing, product, and UX teams to enhance the overall shopping experience.

What are the typical daily responsibilities of a Shopify data analyst?

A Shopify Data Analyst spends much of their day gathering, cleaning, and analyzing data from the Shopify platform and related e-commerce tools to uncover trends in customer behavior, sales, and marketing performance. They create dashboards, generate reports, and present actionable insights to business stakeholders, such as marketing and operations teams, to help optimize store strategies. Analysts often collaborate closely with developers and digital marketers to implement tracking solutions and validate the accuracy of data sources. Regular tasks may also include A/B test analysis, KPI monitoring, and making data-driven recommendations to improve website conversion rates and maximize revenue.

What are the key skills and qualifications needed to thrive in the Shopify data analyst position, and why are they important?

To thrive as a Shopify Data Analyst, you need a strong analytical background, proficiency in e-commerce metrics, and experience with data visualization, often supported by a degree in data science, statistics, or a related field. Familiarity with Shopify Analytics, SQL, Google Analytics, and BI tools like Tableau or Power BI is essential, and certifications in these platforms are advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills are important soft skills for collaborating with cross-functional teams. These skills are vital for extracting actionable insights from Shopify data and driving informed business decisions to optimize store performance.

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Shopify Data Analyst jobs near you
Infographic showing various Shopify 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.

Data Analytics Intern- Fall 2026

New York, NY • On-site

Jomboy Media
Broadcasting • 1 - 10 employees
Learn more about Jomboy Mediaexternal

Internship

Re-posted 10 days ago

Job description

Title: Data Analytics Intern
When: Fall 2026
Job Summary: Jomboy Media's Data Analytics Internship is a hands-on training program for students studying Marketing, Business, Analytics, or a related field who want to learn how a media company uses data to inform decisions. Working for academic credit under the guidance of our analytics team, you'll learn to track, organize, and interpret data across our advertising, content, and revenue platforms. This internship runs Aug 31 - Dec 11, with hours arranged around your availability.
  • Start date: August 31th
  • End date: December 11th
  • Hours per week: 20-30, Working around your university & class schedule

What You'll Learn
  • Marketing & campaign analytics
  • Data organization & reporting (Excel/Google Sheets)
  • Digital advertising platforms (Meta Ads Manager, Google Ad Manager, and more)
  • Revenue & sales operations data
  • Cross-team collaboration

Responsibilities:
  1. Monitor and Report on Campaigns:
    • Learn to track and analyze performance of internal and external campaigns across platforms including Listener, Meta Ads Manager, Google Ad Manager, Simplecast, Shopify, and YouTube, under the guidance of our analytics team.
    • Assist in preparing regular reports on key metrics such as views, impressions, engagement, sales, and programmatic earnings.
  2. Data Organization and Analysis:
    • Assist in collecting and compiling data related to JM content across platforms.
    • Learn data cleaning and organization techniques to prepare exports for aggregation and analysis.
    • Practice data analysis using Google Sheets and other analytics tools, under supervision.
  3. Sales Team Assistance:
    • Shadow the sales team to learn how data supports sales decks and proposals, assisting with data entry under supervision.
    • Learn how recurring sales materials are maintained and kept up to date.
    • Gain exposure to how data informs sales team presentations and proposals.
  4. Monday.com:
    • Learn to use Monday.com dashboards to extract revenue and inventory data, assisting with accuracy checks under guidance.

Requirements:
  • Currently pursuing a degree in Marketing, Business, Analytics, or a related field.
  • Strong analytical skills and attention to detail.
  • Proficiency in Microsoft Excel/Google Sheets.
  • Familiarity with digital advertising platforms such as Meta Ads Manager, Google Ad Manager, Simplecast, Shopify, and YouTube.
  • Basic knowledge of data analysis techniques and tools.
  • Excellent organizational and time management skills.
  • Strong communication and teamwork abilities.
  • Self-motivated and eager to learn.

This internship is a fixed-term learning experience with no expectation of continued employment. Strong performance may be considered for future openings, but a job is never guaranteed. Our internship program is currently unpaid. Candidates must receive school credit.

Apply