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Remote Shopify Data Analyst Jobs in Melbourne, FL

Lead, Data Engineer

Melbourne, FL ยท Remote

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... data analytics at scale * Collaborate with cross-functional teams to define data governance ...

Principal, Data Engineer

Melbourne, FL ยท On-site +1

$153K - $284K/yr

Melbourne, FL; or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... data analytics at scale * Collaborate with cross-functional teams to define data governance ...

Supply Chain Analyst Intern

Melbourne, FL ยท On-site +1

$16.75 - $22.50/hr

This intern will be encouraged to ask questions, explore data, and help design solutions that ... Ability to work independently while collaborating effectively with cross-functional and remote ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

BCBA - Hybrid

Cocoa, FL ยท Remote

$75K - $92K/yr

... through data analysis and adjust programming Collaborate with clinical and operational teams Support clients across home, center, and remote settings Expectations Meet established billable hour ...

Supply Chain Analyst Intern

Melbourne, FL ยท On-site +1

$16.75 - $22.50/hr

This intern will be encouraged to ask questions, explore data, and help design solutions that ... Ability to work independently while collaborating effectively with cross-functional and remote ...

... Data Analytics and Business Intelligence Services and Information Technology Services. Position Types: Full-Time/Part-Time/Internship Work Location: Various positions available, hybrid remote/in ...

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Showing results 1-20

Remote Shopify Data Analyst information

See Melbourne, FL salary details

$31.5K

$76.6K

$126.1K

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

As of Aug 27, 2026, the average yearly pay for remote shopify data analyst in Melbourne, FL is $76,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,900.00 and $89,900.00 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 Melbourne, FL?

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

What cities near Melbourne, FL are hiring for Remote Shopify Data Analyst jobs?

Cities near Melbourne, FL with the most Remote Shopify Data Analyst job openings:

Infographic showing various Remote Shopify Data Analyst job openings in Melbourne, FL as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $76,601 per year, or $36.8 per hour.

Lead, Data Engineer

Melbourne, FL โ€ข Remote

$127K - $236K/yr

Full-time

Medical, Retirement, PTO

Re-posted 11 days ago


Job description

Job Title:ย Lead, Data Engineerย 

Job Code:ย 41065

Job Location:ย Melbourne, FL or Remote Opportunity

Job Schedule:ย 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off

Job Description:

L3Harris Enterprise Data and AI team is seeking a Data Engineer with experience in managing enterprise-level data life cycle processes. This role includes overseeing data ETL/ELT pipelines, ensuring adherence to data standards, maintaining data frameworks, conducting data cleansing, orchestrating data pipelines, and ensuring data consolidation. The selected individual will play a pivotal role in maintaining ontologies, building scalable data solutions, and developing dashboards to provide actionable insights for the enterprise within Palantir Foundry. This position will support the company's modern data platform, Unified Data Layer, focusing on data pipeline development and maintenance, data platform design, documentation, and user training. The goal is to ensure seamless access to data for all levels of the organization, empowering decision-makers with clean, reliable data.

Essential Functions:

  • Provide architectural oversight for the company's data platform and related initiatives, ensuring alignment with company standards and best practices
  • Assist development initiatives with design reviews, offering guidance on architecture and data modeling
  • Lead design reviews for proposed solutions, including data sourcing, data pipelines, data models, and ontology resources, providing actionable feedback to enhance design scalability
  • Assist and develop architectural artifacts, perform requirements decomposition, and develop other documentation to support the software development lifecycle (SDLC)
  • Support the SDLC process by participating in data architecture review sessions, reviewing proposed solutions for compliance with architectural standards
  • Oversee and provide guidance for data pipelines, ensuring scalability, reusability, and performance
  • Utilize Palantir Foundry to perform data integration and ontology management to support big data analytics at scale
  • Collaborate with cross-functional teams to define data governance, metadata, and ontology standards, ensuring consistency and clarity across the data platform and enterprise
  • Remain current with emerging data technologies and frameworks to recommend improvements to the data platform architecture

Qualifications:

  • Bachelor's Degree and minimum 9ย years prior Palantir experience orย Graduate Degree and a minimum of 7ย years of prior Palantir experienceย In lieu of degree, minimum 13ย years of prior Palantir experience.
  • Minimum of 4ย years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS, or Python.
  • Minimum of 4ย years of experience in Data Integration.

Preferred Additional Skills:

  • Experience supporting or implementing solutions that leverage Generative AI capabilities, including Retrieval-Augmented Generation (RAG), semantic search, and LLM integration
  • Experience with Palantir Foundry tools such as Ontology Manager, Compass, Code Repository, Solution Designer, OSDK, AI FDE, and AIP Analyst
  • Understanding of BI (Business Intelligence) & DW (Data Warehouse) development methodologies
  • Experience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages
  • Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex, or similar
  • Hands on Experience with design, development of Data Pipelines in Palantir Foundry Pipeline Builder or Code Repository, or similar technologies leveraging PySpark and Spark SQL
  • Familiarity with SDLC processes and architecture review or data governance board processes

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $127,000-$236,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $110,500-$205,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

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