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Amazon Data Analyst Jobs (NOW HIRING)

Hayden AI

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 ...

Good Apple

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 ...

GoodApple

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 ...

Amazon

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 ...

Amazon

Finance Manager, Amazon Devices

Seattle, WA · On-site

... analytical rigor and data integrity. • Learn and understand a broad range of Amazon's data resources and know how, when, and which to use. BASIC QUALIFICATIONS - 5+ years of tax, finance or a ...

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How much do amazon data analyst jobs pay per year?

As of May 29, 2026, the average yearly pay for 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 is an Amazon Data Analyst job?

An Amazon Data Analyst is responsible for collecting, analyzing, and interpreting large datasets to help drive business decisions. They work with teams across the company to identify trends, optimize processes, and improve efficiency using data-driven insights. Their role often involves using SQL, Python, Excel, and visualization tools like Tableau or Power BI. Strong analytical skills and attention to detail are essential for making informed recommendations that impact operations, sales, or customer experience.

What are the key skills and qualifications needed to thrive in the Amazon Data Analyst position, and why are they important?

To thrive as an Amazon Data Analyst, you need strong analytical skills, experience with statistical methods, and a relevant degree in fields such as Data Science, Mathematics, or Computer Science. Proficiency with SQL, Python, Excel, and data visualization tools like Tableau or AWS QuickSight, along with certifications in data analytics or cloud platforms, is highly valued. Strong attention to detail, problem-solving abilities, and effective communication skills enable you to translate complex data into actionable insights for stakeholders. These competencies are critical for driving data-driven decision-making and supporting Amazon's fast-paced, results-oriented business environment.

What are some typical challenges Amazon Data Analysts face, and how can they overcome them?

Amazon Data Analysts often work with large, complex datasets and must ensure the accuracy and reliability of their analyses in a fast-paced environment. Navigating multiple data sources, integrating new technologies, and adapting to changing business priorities are common challenges. Successful analysts proactively collaborate with cross-functional teams, stay up to date on the latest analytical tools, and prioritize effective communication to translate technical findings into business recommendations. Seeking mentorship and ongoing learning opportunities can also help analysts stay ahead in this dynamic role.

What does a data analyst do at Amazon?

A data analyst at Amazon collects, processes, and analyzes large datasets to identify trends, support decision-making, and improve business operations. They often use tools like SQL, Excel, and data visualization software, and may work closely with teams across logistics, marketing, and product development to optimize processes and strategies.
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Amazon Data Analyst jobs near you
Data Analyst

Data Analyst

Hayden AI

San Francisco, CA • On-site

$123.08K - $160K/yr

Full-time

Posted 6 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.

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