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Hourly Amazon Data Analyst Jobs (NOW HIRING)

Data Analyst

Washington, DC · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Amazon Aurora and related Amazon Web Services (AWS) data stores into clean, reconciled analytical datasets; * building the recurring reports and dashboards a program actually uses, with documented ...

Using platforms like Snowflake, Amazon Redshift, and SQL Server, you will help develop scalable data solutions and support the integration of new datasets into our analytical framework. What you will ...

Using platforms like Snowflake, Amazon Redshift, and SQL Server, you will help develop scalable data solutions and support the integration of new datasets into our analytical framework. What you will ...

Using platforms like Snowflake, Amazon Redshift, and SQL Server, you will help develop scalable data solutions and support the integration of new datasets into our analytical framework. What you will ...

Controls Engineer, Amazon Data Services, Inc

New Albany, OH · On-site

$80K - $103K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

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 ...

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

Madison, WI · On-site

  • Medical

  • Dental

  • Life

  • Retirement

POSITION OVERVIEW : You're a Data Analyst who loves building insightful dashboards as much as you ... Amazon, Kohler, Festival Foods, Toppers Pizza, Winston Fly Rods, Carver Yachts and UW Health. Shine ...

Data Scientist II, NAS Returns Tech

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Are you excited about utilizing statistical analysis, machine learning, data mining and leverage tons of Amazon data to learn and infer customer shopping patterns? Do you enjoy working with a ...

Data Analyst

Madison, WI

  • Medical

  • Dental

  • Life

  • Retirement

POSITION OVERVIEW : You're a Data Analyst who loves building insightful dashboards as much as you ... Amazon, Kohler, Festival Foods, Toppers Pizza, Winston Fly Rods, Carver Yachts and UW Health. Shine ...

Data Scientist II, NAS Returns Tech

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Are you excited about utilizing statistical analysis, machine learning, data mining and leverage tons of Amazon data to learn and infer customer shopping patterns? Do you enjoy working with a ...

Controls Engineer, Amazon Data Services, Inc

Trenton, OH · On-site

$78K - $102K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Controls Engineer, Amazon Data Services, Inc

New Albany, OH · On-site

$80K - $103K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Showing results 21-40

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 Aug 16, 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.

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.
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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:

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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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

OpenDataJobs

Washington, DC • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

Peregrine Advisors is a firm founded on a simple conviction: the best solutions come from the people closest to the problem, given real ownership and the tools to deliver. We are a data and technology innovation hub and a Benefit Corporation working at the center of the federal government's mission to deliver for client stakeholders and the US public, looking for highly motivated contributors who thrive when trusted to own a hard problem and equipped to deliver the solution.

Your first assignment

Your first assignment will likely include turning a federal program's operational data into numbers people can trust by:

  • defining measures with the people who own the process, and writing down the business rules behind every number;
  • writing the SQL that turns platform data on Amazon Aurora and related Amazon Web Services (AWS) data stores into clean, reconciled analytical datasets;
  • building the recurring reports and dashboards a program actually uses, with documented measures, refresh schedules, and access controls;
  • tracing discrepancies to their source: definitions, timing, filters, and source systems, until the number is explained; or
  • replacing manual reporting with repeatable, tested workflows.

Adaptability and a demonstrated capacity to learn new concepts, systems, and tools are what keep you ahead of program needs as projects complete and priorities shift.

The work is real, hard, and it matters. It is also where you start, not the shape of your career here: we hire people, not seats, and we move our best to where the hardest problems are.

What you'll build
  • The numbers a federal program runs on, with the provenance to prove where each one came from.
  • Clean analytical datasets that reconcile source fields, business definitions, and calculation logic, so every analysis after yours starts on solid ground.
  • Dashboards, reports, and data visualizations people return to because they answer the question, load fast, and never mislead on a scale or a label.
  • The quality evidence behind the reporting: validation checks, reconciliation reports, and issue logs that hold up in an audit.
  • AI-assisted analysis as standard practice: coding assistants and language models across the lifecycle, with your judgment on top.
  • In time, the firm itself: new capabilities, tools, and lines of business you help spin up.
Who you are

You are precise with numbers and suspicious of unexplained ones: an anomaly is a thread to pull, not a footnote to add. You move easily between a stakeholder's question and the data that can answer it, and you would rather deliver one number the program can trust than ten it cannot. You communicate clearly, adapt across roles and clients, and care about creating public value. You experiment, fail, learn, and repeat quickly. You would rather own an outcome than be handed a task.

What you bring
  • Practical command of SQL and spreadsheets, with scripting (Python or R) where it makes the work faster or safer.
  • The discipline of defined measures: documented rules, reconciled sources, and reports that refresh without surprises.
  • The judgment to choose the chart that serves the reader, and the restraint to leave out the one that does not.
  • The precision to work where accuracy and auditability are not optional.
What you'll need

U.S. citizenship (this initial engagement may be staffed by U.S. citizens only) and the ability to obtain a Public Trust determination. This is a hybrid role based in the Washington, DC metropolitan area, and it requires commuting into DC regularly. Everything else, the years, the certifications, the specific tools, we ask in the application and get into during the interview.

What we offer

A high-performing team of developers, engineers, data scientists, architects, and strategists solving complex, real-world problems, with work that runs from strategy formulation to hands-on implementation. We develop people across roles and clients, with extensive onboarding and sponsored training and professional development. And Peregrine has been a Benefit Corporation from day one: public value is built into the work itself, not bolted on afterward. Work worth your best years.

What we commit to

As a Benefit Corporation, our commitment runs three ways: real, measurable value for our clients; government that works better for the public; and a team that makes everyone in it better.

We hire people who want to help build the firm, not just work at it. If that is you, apply.

Peregrine Advisors is an equal opportunity employer.

Peregrine exclusively works with OPEN Data Jobs to recruit our team. Register with OPEN Data Jobs to be considered for this opening and future roles. 

Requirements

  • 3+ years of data analysis experience
  • Bachelor's degree
  • Strong working command of SQL
  • Experience building reports and dashboards in a business intelligence tool (Power BI, Tableau, or comparable)
  • Familiarity with scripting for analysis (Python or R)
  • Ability to own an analysis from question through delivered, documented answer
  • Basic proficiency in writing, PowerPoint, and Excel
Preferred
  • Master's degree in a relevant field
  • Experience with cloud data platforms on Amazon Web Services (AWS)
  • Federal program, financial, or performance data experience
  • Familiarity with AI-assisted developer and analysis tooling

Benefits

Medical, dental, and vision with the employee premium fully paid and half of dependent premiums; employer-paid life, accidental death, and short-term and long-term disability insurance; a 401(k) matched 100% up to 4% of salary, vesting immediately; unlimited paid time off; and sponsored professional certifications and continuing education.