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Hourly Amazon Data Analyst Jobs (NOW HIRING)

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 ...

Data Analyst

MD · Remote

Data Analyst Job Type: Contracting (Short-Term) Location: Remote Dynanet Corporation Overview ... Amazon QuickSight or Power BI is a plus. * Ability to work with messy, semi-structured, and ...

Controls Engineer, Amazon Data Services, Inc

Dublin, OH · On-site

$80K - $104K/yr

Using Amazon leadership principles, you will develop new processes and standards while innovating ... Key job responsibilities Troubleshoot and perform Root Cause Analysis or Corrective Action for BMS ...

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Hourly Amazon Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do hourly amazon data analyst jobs pay per year?

As of Jul 7, 2026, the average yearly pay for hourly amazon 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 does an Hourly Amazon Data Analyst do?

An Hourly Amazon Data Analyst is responsible for collecting, processing, and analyzing data to help Amazon make informed business decisions. They often work on tasks such as generating reports, identifying trends, and supporting various teams with data-driven insights. These analysts typically use tools like Excel, SQL, and Amazon’s internal software to manage large datasets. Their work helps improve efficiency, optimize operations, and support strategic initiatives across the company.

What are some common challenges faced by Hourly Amazon Data Analysts, and how can they be overcome?

Hourly Amazon Data Analysts often encounter challenges such as managing large volumes of data, meeting tight deadlines, and adapting to rapidly changing priorities. Close attention to detail and strong organizational skills are essential for ensuring data accuracy and timely delivery. Collaborating effectively with team members and proactively seeking feedback can help resolve issues quickly and improve overall workflow. Additionally, leveraging Amazon's internal tools and resources can streamline data processing and analysis tasks.

Do Amazon workers get $23 an hour?

Hourly Amazon data analysts typically earn around $20 to $25 per hour, depending on experience, location, and specific role requirements. Compensation can vary based on factors such as skills, certifications, and the complexity of data analysis tasks performed.

Is Amazon paying $35 an hour?

Hourly Amazon Data Analysts typically earn between $20 and $35 per hour, depending on experience, location, and specific role requirements. Compensation can vary, and some positions may offer higher pay with specialized skills or certifications. It is advisable to check current job postings for accurate salary information.

How much does Amazon pay a Data Analyst?

Amazon Data Analysts typically earn an average hourly wage ranging from $25 to $40, depending on experience, location, and specific role requirements. Entry-level positions may start lower, while experienced analysts with specialized skills or certifications can earn higher wages. Compensation may also include benefits and performance bonuses.

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

To thrive as an Hourly Amazon Data Analyst, you need strong analytical skills, attention to detail, and a background in mathematics, statistics, or a related field. Proficiency with data analysis tools such as Excel, SQL, and Amazon's internal analytics platforms is typically required. Effective communication, problem-solving abilities, and adaptability help analysts translate data into actionable insights and work efficiently within teams. These skills ensure accurate data interpretation, support decision-making, and contribute to Amazon's operational excellence.

Will Amazon pay you $28 an hour to work from home?

Hourly Amazon Data Analysts can earn around $20 to $30 per hour, depending on experience and location. The role typically involves analyzing data using tools like Excel or SQL and may offer remote work options, but pay rates vary by position and individual qualifications.
More about Hourly Amazon Data Analyst jobs
What cities are hiring for Hourly Amazon Data Analyst jobs? Cities with the most Hourly Amazon Data Analyst job openings:
What are the most commonly searched types of Amazon Data Analyst jobs? The most popular types of Amazon Data Analyst jobs are:
What states have the most Hourly Amazon Data Analyst jobs? States with the most job openings for Hourly Amazon Data Analyst jobs include:
Infographic showing various Hourly Amazon Data Analyst job openings in the United States as of July 2026, with employment types broken down into 4% Locum Tenens, 87% Full Time, 7% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Data Analyst

Good Apple

New York, NY • On-site

$69K - $85K/yr

Full-time

Re-posted 19 days ago


Job description

Good Apple is an independent agency driving an average +30% efficiency while making lives 100% easier. Built on the belief that big agency bureaucracy isn't necessary to drive scalable results, Good Apple operates as that group of friends you love to collaborate with whether you are an employee, agency, publisher, or client partner.
As an Apple, you have a unique opportunity to truly create the destiny and pathway that fuels you each day and drives you to deliver the best results for yourself as well as your clients. As a Data Analyst, you will act as a strategic partner to your clients and media team, solving complex problems through metrics and analysis. Our Data Analysts have a curious, logical mindset with an interest in advertising and digital marketing analytics, working internally across disciplines to deliver the most impactful integrated media solution for our clients.
Key Responsibilities:
  • Collaborate with internal teams to translate business needs into measurement plans and their implementations via website/ad-server tracking setups and data flows
  • Democratize data and insights through data integration and the use of visualization tools
  • Work with media teams to create marketing plans and ensure measurement requirements are built into the media structure
  • Turn business requirements into metrics and implement tracking solutions to measure those metrics
  • Learn what makes an effective media plan so you can be the voice of the data for the media teams and clients to guide media planning and optimization
  • Build dashboards and supporting SQL database setups for weekly, monthly, and quarterly reports and analyses for clients
  • Provide ad-hoc data science-driven regression analyses that discover the connections not discernible from a dashboard or spreadsheet
  • Create clean, effective, and actionable presentations for clients and internal teams
  • Excellent analytical skills and the ability to plainly communicate results to clients and internal teams
  • Lead and contribute to processes (technical or business) improvements for reporting and analysis
  • Diligently see solutions through to the end and be meticulous on QA

Desired Skills/Qualifications:
  • Bachelor's Degree with 3.0 or higher GPA or equivalent work experience
  • 0-2 years of marketing or analytics experience
  • Creative problem-solving skills and clear communication of results to a non-technical audience
  • Excellent communication skills to both internal teams and clients - presenting to clients is an expectation
  • Fast learner, comfortable using advanced SQL, experience working with data pipelines, understanding data architecture
  • Experience working with 3rd party media tools such as Google Campaign Manager, data visualization tools (Looker, Tableau), Cloud DBs (Snowflake, Redshift), Pipeline tools (Rivery, Fivetran), and AI platforms (Data Robot, Dataiku)
  • Familiarity with tag managers, tagging implementation, website architecture, and CMS platforms is a plus
  • Meticulous attention to detail
  • Background in a logic-based field or experience in a logic-focused role is ideal
  • Experience with Amazon Web Services is a plus
  • Programming experience, Python in particular, is a plus