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Freelance Amazon Data Analyst Jobs (NOW HIRING)

Data Analyst

San Francisco, CA · On-site

$123.08K - $160K/yr

Strong SQL skills and experience working with data warehouse systems such as Amazon Redshift, Google BigQuery, or Snowflake. * Strong knowledge of Python for data manipulation and analysis (e.g ...

Data Analyst

New York, NY · On-site

$69K - $85K/yr

As a Data Analyst, you will act as a strategic partner to your clients and media team, solving ... Experience with Amazon Web Services is a plus * Programming experience, Python in particular, is a ...

Data Analyst

New York, NY · On-site

$69K - $85K/yr

As a Data Analyst, you will act as a strategic partner to your clients and media team, solving ... Experience with Amazon Web Services is a plus * Programming experience, Python in particular, is a ...

Sr. BIE, Amazon Leo

Bellevue, WA · On-site

$97.10K - $122.50K/yr

Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable ... You will build and manage data infrastructure, develop and improve analytics products, simplify ...

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Freelance Amazon Data Analyst information

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How much do freelance amazon data analyst jobs pay per hour?

As of May 30, 2026, the average hourly pay for freelance amazon data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Freelance Amazon Data Analyst, and why are they important?

To thrive as a Freelance Amazon Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and experience with e-commerce metrics, often supported by a degree in data science, business, or a related field. Familiarity with tools such as Amazon Seller Central, Excel, SQL, and data visualization platforms like Tableau or Power BI is typically required. Excellent communication, problem-solving skills, and self-motivation set standout analysts apart in remote, client-facing environments. These skills and qualities are crucial for delivering actionable insights that drive sales growth and operational efficiency for Amazon sellers.

How does a Freelance Amazon Data Analyst typically collaborate with clients and other stakeholders?

As a Freelance Amazon Data Analyst, collaboration often takes place remotely through regular virtual meetings, email updates, and shared dashboards. You will typically interact with clients to clarify project goals, review data insights, and discuss recommendations. It's common to work alongside marketing, sales, or supply chain teams to align analytics with broader business objectives. Clear communication and proactive reporting are essential to ensure your analyses drive actionable results for your clients.

What does a Freelance Amazon Data Analyst do?

A Freelance Amazon Data Analyst specializes in analyzing data from Amazon's marketplace to help sellers and businesses make informed decisions. Their tasks often include tracking sales performance, identifying market trends, optimizing product listings, and providing actionable insights based on data analytics. They work independently, often for multiple clients, and use various tools to collect and interpret data related to product performance, pricing strategies, and customer behavior. By leveraging data, they help businesses improve their sales, reduce costs, and stay competitive on the Amazon platform.

What is the difference between Freelance Amazon Data Analyst vs Freelance E-commerce Data Analyst?

AspectFreelance Amazon Data AnalystFreelance E-commerce Data Analyst
CredentialsBasic data analysis skills, familiarity with Amazon toolsSimilar credentials, often with broader e-commerce platform knowledge
Work EnvironmentPrimarily Amazon seller accounts, Amazon Seller CentralVarious online marketplaces, multiple e-commerce platforms
Employer & Industry UsageAmazon sellers, agencies focusing on AmazonVarious online retail businesses, marketplaces
Search & Comparison IntentHigh overlap in skills, platform-specific analysisBroader e-commerce analysis, less platform-specific

Freelance Amazon Data Analysts specialize in Amazon-specific data, tools, and metrics, while Freelance E-commerce Data Analysts work across multiple platforms. Both roles require similar skills but differ in platform focus and scope.

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What job categories do people searching Freelance Amazon Data Analyst jobs look for? The top searched job categories for Freelance Amazon Data Analyst jobs are:
Data Analyst

Data Analyst

Hayden AI

San Francisco, CA • On-site

$123.08K - $160K/yr

Full-time

Posted 7 days ago


Job description

About Us
At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.
From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.
Job Summary:
Hayden AI seeks a Data Analyst to support a diverse set of stakeholders with Data and Analytics needs. This is a great opportunity for someone who wants to deliver a big impact: you'll be supporting the Data Science team and operate at the intersection of Data Engineering, Analytics and Data Science. You will work with transit agencies, the customer success team, finance, product, company executives, and engineers. You will enable all of them to get their data questions answered in a timely manner with a high accuracy.
Responsibilities
  • Create and improve standardized metrics from foundational datasets using dbt models and AWS Glue jobs
  • Create and improve compelling data stories, visualizations and dashboards based on stakeholder and UX feedback
  • Create data reports that answer ad hoc requests from cross-functional teams for impact analyses, anomaly investigations and root cause analyses, etc.
  • Serve as first responder for data discrepancy and freshness issues.
  • Translate business questions into data requirements, acting as the interface between customer-facing teams and the data team.
  • Monitor data quality and completeness in data processing steps across multiple fleets, flagging issues and driving fixes.
  • Support data scientists by preparing datasets, performing exploratory analysis, and providing review and feedback on team analyses.
  • Communicate findings and recommendations clearly to both technical and non-technical stakeholders.

Required Qualifications
  • Bachelor's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a related field.
  • 1-3 years of experience in data analytics
  • Strong SQL skills and experience working with data warehouse systems such as Amazon Redshift, Google BigQuery, or Snowflake.
  • Strong knowledge of Python for data manipulation and analysis (e.g., Pandas, NumPy).
  • Experience with dbt, AWS Glue, or similar data transformation and pipeline tools.
  • Experience building and maintaining dashboards in BI tools such as Tableau or Looker.
  • Solid understanding of descriptive statistics and ability to interpret analytical results.
  • Strong communication skills with the ability to present findings to both technical and business audiences.

Preferred Qualifications
  • Master's or PhD in Data Science, Transportation, or a related field.
  • Previous experience working with geospatial analytics and spatial datasets.
  • Experience with large-scale time-series and mobility datasets (e.g., GTFS, GPS traces, transit logs).
  • Experience with Grafana or similar operational monitoring tools.
  • Exposure to cloud platforms, especially AWS.
  • Prior experience in a startup environment and a desire to make a significant impact.