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Part Time Aws Data Analytics Jobs (NOW HIRING)

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position ... Familiarity with SQL and cloud data platforms (Databricks, Azure, AWS, or equivalent). * Strong ...

ECS

Senior Data Analyst (Part-Time)

Arlington, VA · On-site

$73.76 - $76.17/hr

Work as RISC liaison to CIO for server/system issues related to AWS and Azure. * Write programming ... Degree in Computer Science, Information Technology, Data Analytics, or related field. * 7+ years ...

Booz Allen Hamilton, Inc.

Data Architect

Albuquerque, NM · On-site

$61.75 - $79.50/hr

... within AWS environments. * Translate business and analytical requirements into scalable data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

LinTech Global

Senior Data Analyst (part-time)

Arlington, VA · On-site

$98K - $124K/yr

... including Data Analytics Expressions (DAX), data Mash-up(M), and Microsoft Power Platform (e.g., Power BI, Power Apps, Power Automate, etc.). * Knowledge of AWS or Azure Services, including ...

State of Iowa

Data Analyst - Part Time

Des Moines, IA · On-site +1

$30.57 - $47.42/hr

The HHS Data Analyst-1 position is a Part-Time opportunity with a flexible schedule. Work hours ... Knowledge of HR processes or workforce analytics. Understanding of data governance and data quality ...

True Mission HR

Data Analyst (part-time)

Orange, CA

$35 - $38/hr

We are seeking to add a part-time, hybrid, Data Analyst to support our programs and assist with ... Advise program management and client staff on data analytics best practices, reporting standards ...

Globe Life Inc.

Data & AI Engineer III (Hybrid)

Mckinney, TX · On-site

$106K - $127K/yr

... support analytics and business intelligence initiatives. Leveraging expertise in AWS services ... Ability to work full time and/or part time based on the position specifications. How Globe Life ...

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How much do part time aws data analytics jobs pay per year?

As of Jul 2, 2026, the average yearly pay for part time aws data analytics in the United States is $178,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,500.00 and $191,500.00 per year, depending on experience, location, and employer.

Is AWS needed for data analysts?

AWS skills are increasingly valuable for data analysts, as many organizations use Amazon Web Services for data storage, processing, and analytics. Familiarity with AWS tools like S3, Redshift, and Athena can enhance a data analyst's ability to work with cloud-based data environments and improve job prospects.

What is the difference between Part Time Aws Data Analytics vs Part Time Data Engineer?

AspectPart Time Aws Data AnalyticsPart Time Data Engineer
Required CredentialsCertifications in AWS, data analytics toolsCertifications in data engineering, cloud platforms
Work EnvironmentCloud-based, analytics-focusedCloud and data pipeline development
Employer & Industry UsageTech, finance, healthcareTech, e-commerce, finance

Part Time Aws Data Analytics roles focus on analyzing data using AWS tools, while Part Time Data Engineers build and maintain data pipelines. Both roles require cloud and data certifications and often operate in similar industries, but their core responsibilities differ: analytics versus infrastructure development.

How much does Amazon pay a data analyst?

Amazon data analysts typically earn between $70,000 and $110,000 annually, depending on experience, location, and specific role. Entry-level positions may start lower, while experienced analysts with skills in AWS, SQL, and data visualization tools can earn higher salaries.

Are AWS jobs still in demand?

AWS data analytics roles remain in high demand due to the widespread adoption of cloud computing and the need for professionals skilled in services like AWS Glue, Redshift, and Athena. Employers seek candidates with certifications such as AWS Certified Data Analytics – Specialty and experience in data processing, storage, and visualization tools. The demand is expected to continue as organizations increasingly rely on cloud-based data solutions.

Is 40 too late for data science?

Age is not a barrier to entering data science or related roles like part-time AWS data analytics positions. Success depends on skills, experience, and continuous learning, such as mastering tools like AWS, Python, and SQL, regardless of age.
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Part Time Aws Data Analytics jobs near you
Data Analytics Intern

Data Analytics Intern

TrinityRail

Dallas, TX • On-site

Part-time

Posted 29 days ago

TrinityRail rating

6.4

Company rating: 6.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

119th of 146 rated vehicle equipment hire

Job description

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX. This position will focus on building, deploying, and scaling agentic AI applications and automated workflows across the enterprise. You will contribute to producing AI-first solutions using large language models, agent frameworks, and AI-assisted coding to deliver deployable apps, agents, automated workflows, and AI orchestration.
This role will provide valuable experience working with state-of-the-art enterprise platforms (Databricks and Palantir Foundry) and AI tools (pro licenses for Codex and Claude Code). The role offers hands-on mentorship from senior analytics professionals, exposure to production data and governance practices, and high visibility to business owners giving you real ownership of high-impact projects.
What You'll Do:
  • Design, prototype, and deliver agentic systems that plan and execute multi-step business tasks.
  • Build automated workflows and connectors that integrate internal systems and APIs.
  • Implement LLM-based agents (prompting, tool-calling, memory, monitoring) and harden prototypes for handoff.
  • Produce code and deployable artifacts using AI-assisted generation.
  • Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain in-dept knowledge of business problems and likely solutions.
  • Demo results and deliver concise handoff docs, runbooks, and impact metrics.

Qualifications
What You'll Have:
  • Master's or PhD candidate or recent graduate in Data Science, Machine Learning, Computer Science, Applied Math, Statistics, Operations Research, or similar quantitative field.
  • Demonstrable experience building AI prototypes or agentic projects (coursework, research, personal projects, or employment).
  • Generate, test, and iterate code (examples: Python, JavaScript, YAML) using an IDE (VS Code, JetBrains, etc.) with AI-assisted coding (GitHub Copilot, OpenAI Codex,
  • Claude Code, Cursor, or similar). Manual coding fluency is helpful but not mandatory.
  • Familiarity with SQL and cloud data platforms (Databricks, Azure, AWS, or equivalent).
  • Strong problem solving and communication skills; ability to present technical work to nontechnical stakeholders.
Preferred / Nice-to-Have
  • Practical experience with model deployment and monitoring basics (packaging/deploying prototypes, logging/observability, basic cost and drift checks).
  • Experience building or working with data/workflow pipelines or orchestration tools or familiarity with the concepts of scheduling and task orchestration.
  • Experience working with unstructured text and retrieval approaches (RAG or index + LLM patterns) for document/question answering.
  • Comfortable integrating services via REST APIs and using secure authentication patterns.

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