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Amazon Data Analyst Jobs in Texas (NOW HIRING)

Data Analyst

Atlanta, TX · On-site

$70 - $100/hr

Leverage platforms like Snowflake, Amazon Redshift, and SQL Server to build scalable data solutions. Requirements * 3+ years of professional experience analyzing complex datasets and writing SQL ...

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 ...

DC Infra Eng III - AMZ9962967

Austin, TX · On-site

$139K - $184K/yr

AMAZON DATA SERVICES, INC. Offered Position: DC Infra Eng III Job Location: Austin, Texas Job Number: AMZ9962967 Position Responsibilities: Lead mechanical design and analysis for computing and AI ...

DC Infra Eng III - AMZ9980346

Austin, TX · On-site

$136K - $184K/yr

AMAZON DATA SERVICES, INC. Offered Position: DC Infra Eng III Job Location: Austin, Texas Job ... Responsible for evaluating and validating complex root cause analysis reports from a technical ...

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Amazon Data Analyst information

See Texas salary details

$31.7K

$77K

$126.7K

How much do amazon data analyst jobs pay per year?

As of Aug 28, 2026, the average yearly pay for amazon data analyst in Texas is $76,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

What is an Amazon data analyst?

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 as an Amazon data analyst?

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.

How do I join Amazon as a data analyst?

To join Amazon as a data analyst, candidates typically need a bachelor's degree in a related field such as data science, statistics, or computer science, along with strong analytical skills and experience with tools like SQL, Python, or R. Applying through Amazon's careers website and demonstrating relevant experience and technical proficiency are essential steps in the hiring process.

What are top 3 soft skills for an Amazon Data Analyst?

The top three soft skills for an Amazon Data Analyst are strong analytical thinking, effective communication, and problem-solving abilities. These skills enable analysts to interpret complex data, present insights clearly, and collaborate with cross-functional teams in a fast-paced environment.

What are the most commonly searched types of Amazon Data Analyst jobs in Texas?

The most popular types of Amazon Data Analyst jobs in Texas are:

What job categories do people searching Amazon Data Analyst jobs in Texas look for?

The top searched job categories for Amazon Data Analyst jobs in Texas are:

What cities in Texas are hiring for Amazon Data Analyst jobs?

Cities in Texas with the most Amazon Data Analyst job openings:

Infographic showing various Amazon Data Analyst job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $76,992 per year, or $37 per hour.

Data Analyst

Atlanta, TX • On-site

$70 - $100/hr

Other

Posted 9 days ago


Job description

  • Play a central role in our data ecosystem.
  • Support essential workflows that power our daily operations.
  • Collaborate with trading desk to understand their data needs and build queries to support their analysis.
  • Leverage platforms like Snowflake, Amazon Redshift, and SQL Server to build scalable data solutions.
Requirements
  • 3+ years of professional experience analyzing complex datasets and writing SQL, Python, or similar languages to automate reporting and analysis.
  • 2+ years of professional experience in fintech or structured products, working with loan-level information and understanding the complexities of amortization, prepayment, default, and loss severity.
  • Comfortable evaluating credit performance and communicating insights to both technical and business audiences.
  • Experience with cloud data warehouses like Snowflake, Amazon Redshift, and SQL Server, and have experience optimizing queries and data models for performance at scale.
  • A first-rate collaborator and communicator, comfortable working alongside engineers and business teams, translating analytical requirements into actionable deliverables.
Core Competencies

Demonstrates expertise in analyzing complex datasets and automating reporting using SQL and Python, while effectively collaborating with technical and business teams to deliver actionable insights. Proficient in leveraging cloud data warehouses to optimize data solutions for performance at scale.

Hard Skills
  • Data Analysis
  • SQL
  • Python
  • Query Optimization
  • Data Modeling
Soft Skills
  • Collaboration
  • Communication
Industry Keywords
  • Fintech
  • Structured Products
  • Loan-Level Information
  • Amortization
  • Prepayment
  • Default
  • Loss Severity
Tools & Technologies
  • Snowflake
  • Amazon Redshift
  • SQL Server
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