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Remote Shopify Data Analyst Jobs in Boston, MA (NOW HIRING)

Canton, MA - 100% Remote Position Overview Hiring for experienced Data Analyst to support complex data, analytics, and information-management initiatives within the healthcare payer domain. The ...

Boston, MA (Remote for good candidate but No PST candidates) Duration: 6+ months Contract Video Interview Note: Looking for a Sr. candidate with strong financial background, should have experience ...

Data Privacy Analyst - Remote

Boston, MA ยท Remote

$31 - $60/hr

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting ...

Data Privacy Analyst - Remote

Boston, MA ยท Remote

$31 - $60/hr

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting ...

Collaborating with Data & Analytics Engineers to architect robust data models and institute world ... US - Remote Zone A includes the following locations: * San Francisco Bay Area - California * Metro ...

No Licenses and Credentials Experience related experience 2-3 years in Trauma Analyst Data required ... Hearing Constantly (67-100%) Remote Type Remote Work Location 3 Dove Ave Scheduled Weekly Hours 36 ...

Title - Technical Lead - Data Analysis Location - Boston, MA - Remote JD - Key Skills * Advanced SQL & Data Modeling - Proven ability to design robust data models, write complex SQL, and build ...

Media Analyst - Remote

Boston, MA ยท On-site +1

$60K - $65K/yr

Collect, analyze, and interpret media performance data across digital and traditional media channels.This includes deep dives in to campaign performance to uncover trends, patterns, and optimization ...

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Remote Shopify Data Analyst information

See Boston, MA salary details

$36.9K

$89.8K

$147.8K

How much do remote shopify data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote shopify data analyst in Boston, MA is $89,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,900.00 and $105,400.00 per year, depending on experience, location, and employer.

What does a remote Shopify data analyst do?

A Remote Shopify Data Analyst is responsible for collecting, analyzing, and interpreting data from Shopify stores to help businesses make informed decisions. They use various tools and techniques to track sales, customer behavior, and website performance, providing actionable insights to improve eCommerce strategies. Working remotely, they collaborate with teams to generate reports, identify trends, and recommend optimizations for better store performance and increased revenue.

What are the key skills and qualifications needed to thrive as a remote Shopify data analyst?

To thrive as a Remote Shopify Data Analyst, you need strong analytical skills, experience with e-commerce data, and proficiency in data visualization and statistical analysis, often supported by a degree in data science, statistics, or a related field. Familiarity with Shopify analytics tools, SQL, Excel, and BI platforms like Tableau or Power BI is typically required. Excellent communication, problem-solving abilities, and self-motivation are standout soft skills for remote collaboration and actionable insights delivery. These competencies ensure accurate data-driven decisions that drive sales growth and optimize online store performance.

How does a remote Shopify data analyst typically collaborate with cross-functional teams to drive data-driven decisions?

Remote Shopify Data Analysts frequently work alongside marketing, sales, and product teams to translate data insights into actionable strategies. Collaboration often occurs through virtual meetings, shared dashboards, and project management tools, ensuring everyone stays aligned on goals and progress. Analysts are expected to not only analyze store performance and customer behavior but also clearly communicate findings and recommendations to non-technical stakeholders. This collaborative approach helps teams optimize campaigns, improve user experience, and ultimately boost store performance.

What is the difference between Remote Shopify Data Analyst vs Remote E-commerce Data Analyst?

AspectRemote Shopify Data AnalystRemote E-commerce Data Analyst
Required SkillsShopify platform knowledge, data analysis, Excel, SQLGeneral e-commerce platforms, data analysis, Excel, SQL
Work EnvironmentPrimarily Shopify stores, online retailVarious e-commerce sites, multiple platforms
Industry UsageSpecific to Shopify-based businessesBroader e-commerce industry
CertificationsShopify certifications, data analysis certificationsGeneral data analysis certifications, e-commerce courses

The Remote Shopify Data Analyst specializes in analyzing data specifically for Shopify stores, focusing on platform-specific metrics and tools. In contrast, a Remote E-commerce Data Analyst works across various online retail platforms, offering broader industry insights. Both roles require strong data analysis skills and familiarity with e-commerce metrics, but the Shopify Data Analyst is more niche, often sought by Shopify store owners and agencies.

What are popular job titles related to Remote Shopify Data Analyst jobs in Boston, MA?

For Remote Shopify Data Analyst jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Remote Shopify Data Analyst jobs in Boston, MA look for?

The top searched job categories for Remote Shopify Data Analyst jobs in Boston, MA are:

Data Analyst

Digital Links Inc

Canton, MA โ€ข Remote

Contractor

Re-posted 10 hours ago


Job description

Role: Data Analyst (Health care Domain)
Location: Canton, MA – 100% Remote

Position Overview

Hiring for experienced Data Analyst to support complex data, analytics, and information-management initiatives within the healthcare payer domain.

The selected candidate will partner with business and technical teams to develop scalable analytical solutions, improve data quality, create technical documentation, support testing activities, troubleshoot production issues, and provide actionable business insights using SQL, ETL, and data-management technologies.

Key Responsibilities

  • Partner with business stakeholders and technical teams to understand data and reporting requirements.
  • Perform functional analysis, gap analysis, and business-requirements definition.
  • Analyze complex healthcare payer data and provide meaningful business insights.
  • Develop and optimize advanced SQL and PL/SQL queries.
  • Support ETL processes, data integrations, and data-engineering initiatives.
  • Create technical specifications, data mappings, process documentation, and solution-design documents.
  • Develop test cases, test plans, and validation strategies.
  • Perform data validation, quality assurance, and defect analysis.
  • Investigate and troubleshoot production data and reporting issues.
  • Identify data-quality issues and recommend corrective actions.
  • Collaborate with developers, QA teams, business analysts, and project stakeholders.
  • Support analytical reporting using SAS, Excel, and related tools.

Required Qualifications

  • Bachelor’s degree in Information Systems, Computer Science, Healthcare Informatics, or a related field.
  • 7+ years of data-analysis experience within a healthcare payer environment.
  • Strong healthcare insurance or payer-domain experience.
  • Advanced hands-on experience with SQL, PL/SQL, and Oracle.
  • 5+ years of hands-on ETL and data-engineering experience.
  • 5+ years of Teradata experience.
  • 7+ years of experience with:
    • Functional analysis
    • Gap analysis
    • Business-requirements definition
  • Experience creating:
    • Technical specifications
    • Test cases
    • Test plans
    • Data and process documentation
  • Strong data-quality, QA, troubleshooting, and problem-solving skills.
  • Strong written and verbal communication skills.
  • Ability to collaborate effectively with business and technical stakeholders.

Preferred Qualifications

  • SAS experience.
  • Advanced Microsoft Excel experience, including Pivot Tables.
  • Experience developing analytical and operational reports.
  • Experience supporting healthcare payer data, claims, membership, provider, enrollment, or related datasets.