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Amazon Data Analyst Jobs in Missouri (NOW HIRING)

Amazon

Pharmacy Manager, Amazon Pharmacy

Chesterfield, MO · On-site

$64.25 - $75.75/hr

... laboratory data, and concurrent medication (including over the counter and home remedies). • ... analyze quantitatively, problem-solve, support scope of requirements and prioritize. - Able to ...

Perficient

FDE with Amazon Connect

Saint Louis, MO · On-site

$73K - $170K/yr

Implement observability: CloudWatch dashboards, Contact Lens analytics, custom KPI tracking ... Bi-directional data sync: caller context push, ticket creation, agent screen pop Preferred ...

Amazon

HR Business Partner, NACF

Saint Peters, MO · On-site

... data analytics to identify emerging trends, predict future challenges, and implement proactive ... About the team Amazon's Fulfillment Centers (FCs) within North American Customer Fulfillment (NACF ...

Amazon

EHS Specialist

Saint Peters, MO · On-site

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... to analyze accident data, new processes, and machinery for potential safety concerns and conduct ...

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All JobsAmazon Data Analyst JobsAmazon Data Analyst Jobs in Missouri

Amazon Data Analyst information

See Missouri salary details

$31.9K

$77.5K

$127.6K

How much do amazon data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for amazon data analyst in Missouri is $77,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $91,000.00 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 Missouri?

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

What are popular job titles related to Amazon Data Analyst jobs in Missouri?

For Amazon Data Analyst jobs in Missouri, the most frequently searched job titles are:

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

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

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

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

Amazon Data Analyst jobs near you
Infographic showing various Amazon Data Analyst job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $77,517 per year, or $37.3 per hour.

Data Engineer (junior to mid) - Secret Clearance

LaunchCode

Saint Louis, MO • On-site

$65K - $90K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Job description

Description
Position Type: Direct Hire / Full-Time
Location: Shiloh, IL / On-site at Scott Air Force Base
Schedule: On-site, generally 9:00 AM-5:00 PM depending on project needs
Clearance: Active Secret Clearance Preferred
Years of Experience: 3+ years
Hiring Timeline: Immediate
Compensation: $65,000-$90,000/year
Company: The name of our partner organization will be disclosed during the interview process. This is not a direct role with LaunchCode; it is a position through LaunchCode, working with one of our partner companies.
Position Overview
Our partner is seeking a skilled and highly motivated Data Engineer to support a growing portfolio of data and technology initiatives within the Defense sector.
The Data Engineer will be responsible for designing, developing, and maintaining cloud-based data infrastructure, scalable data pipelines, and analytics solutions. This role will focus on building and optimizing end-to-end ETL processes, integrating large and complex datasets, improving data quality, and supporting business intelligence and reporting initiatives.
The ideal candidate has at least three years of relevant experience and a strong foundation in SQL, Python, ETL processes, and modern data engineering technologies. Experience with Databricks, Spark, federal data environments, and business intelligence platforms is highly preferred.
Position Responsibilities
  • Design, develop, and maintain end-to-end data pipelines using ETL processes and modern data engineering technologies.
  • Build and optimize scalable data pipelines using tools and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
  • Develop data processing workflows that support reliable, efficient, and high-performance analysis.
  • Perform data cleansing, transformation, integration, and quality assurance activities to maintain the accuracy and integrity of large datasets.
  • Leverage big data technologies to process and analyze large datasets within federal and Department of Defense environments.
  • Troubleshoot data-related issues and develop effective solutions to complex data challenges.
  • Implement and support data governance policies, standards, and procedures in alignment with regulatory requirements and industry best practices.
  • Collaborate with technical and business stakeholders to understand data requirements and develop effective data models and architectures.
  • Partner with data scientists, analysts, and other stakeholders to provide timely and accurate data for reporting, analytics, and decision-making.
  • Maintain technical documentation for data pipelines, applications, workflows, and related processes.
  • Evaluate emerging technologies and recommend tools and solutions that improve automation, scalability, performance, and data quality.
Required Skills/Experience
  • 3+ years of experience in data engineering, data analytics, software development, or a related technical field.
  • U.S. citizenship and an active Secret clearance. Clearance sponsorship may be available for qualified candidates.
  • Strong SQL skills with the ability to write, troubleshoot, and modify complex queries and procedures across a variety of datasets.
  • Experience with Extract, Transform, Load (ETL) processes, including establishing and maintaining data ingestion and transformation workflows.
  • Experience manipulating, integrating, and combining data from multiple sources.
  • Hands-on programming experience with Python and related data engineering technologies.
  • Experience with technologies such as Spark, Scala, JavaScript/JSON, and SQL.
  • Business intelligence experience, including creating and updating applications, reports, dashboards, and analytical solutions.
  • Familiarity with business intelligence platforms such as Cognos Analytics, Qlik Sense, and Power BI.
  • Experience working with large datasets and using big data technologies to support efficient processing and analysis.
  • Strong analytical and problem-solving skills.
  • Strong communication and collaboration skills with the ability to work effectively across technical and business teams.
  • Detail-oriented approach with a commitment to high-quality and accurate results.
Preferred Qualifications
  • Experience with Databricks and modern cloud-based data engineering environments.
  • Familiarity with Amazon Web Services, including AWS and Amazon S3.
  • Experience working with Jupyter Notebooks.
  • Understanding of data modeling, data visualization, database design principles, and data governance practices.
  • Experience with Teradata, including Multiload, BTEQ, and related Teradata utilities or procedures.
  • Experience supporting Department of Defense or other federal agency environments.
  • Familiarity with Department of Defense accounting systems such as DEAMS, TFMS, NERP, or similar platforms.
  • Knowledge of Department of Defense accounting processes, financial systems, or transportation policies.
  • Experience supporting cloud modernization, data transformation, reporting, or analytics initiatives.
Benefits
  • Health, vision, and dental plans for employees and their families.
  • Competitive 401(k) plan with 100% company matching on employee contributions up to the first 6%.
  • Generous paid time off based on length of service.
  • Bonus opportunities based on individual performance and achievement of goals.
  • Professional development support through training programs and certifications.
  • Company-sponsored team-building activities, retreats, and professional conferences.

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