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Part Time Aws Data Analytics Jobs (NOW HIRING)

Ohio University

POOL: Data Analytics Instructor

Athens, OH · On-site

$19.75 - $25/hr

Spring 2027; or Fall 2027 (as needed.) Data analytics faculty/instructors will be paid throughout the semester according to the rates for part-time and overload teaching in University College ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Reston, VA · On-site

$77K - $176K/yr

... analyses, and visualization of targeted data sources * Experience working with AWS cloud services ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Analyst

Dayton, OH · On-site

$61K - $141K/yr

Develop data analytics and visualizations by applying proven, industry-standard data science ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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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
Adjunct Instructor in Data Management, Integration, and Applied Analytics

Adjunct Instructor in Data Management, Integration, and Applied Analytics

Brandeis University

Waltham, MA • On-site

$6.5K/mo

Part-time

Posted 9 days ago

Job description

Brandeis University's Online Information Technology Management Program is seeking an Adjunct Faculty member for RITM 125 Data Management, Integration, and Applied Analytics for the Fall-2 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Information Technology Management.
This course focuses on enterprise data lifecycle management, data modeling, integration workflows, and applied analytics. Students work with data from multiple sources to design structures and processes that support decision-making, quality, and accessibility.
Core Course Responsibilities Summary
  • Course Logistics and Facilitation: Focuses on the organized and timely rollout of course content, maintaining consistent communication through weekly announcements, and ensuring all instructional activities occur within university-approved digital platforms.
  • Instructor Presence and Engagement: Centers on building an active teaching persona by hosting live introductory sessions, facilitating weekly academic discourse in forums, and maintaining regular availability for student consultation.
  • Individual Feedback and Grading: Emphasizes the professional obligation to provide transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe.
  • Professional Conduct and Standards: Requires adherence to university communication protocols, the promotion of respectful online "netiquette," and ensuring the course meets accessibility and technical visibility standards before and during the term.

Qualifications:
  • Required:
    • Master's degree in Data Science, Information Systems, Computer Science, Data Engineering, Business Analytics, or a closely related field
    • Minimum 3 years of professional experience in enterprise data management, data integration, analytics, or data architecture
    • Demonstrated expertise in data modeling, database design (SQL and NoSQL), ETL/ELT workflows, and data lifecycle management
    • Experience working with analytics tools or programming languages used in applied analytics (e.g., Python, R, SQL, Power BI, Tableau)
    • Minimum 1 year experience developing asynchronous online courses for adult learners in higher education
    • At least 1 year of teaching or training experience (preferably online/asynchronous)
    • Experience with online instruction
    • Excellent communication and teaching skills in an online learning environment.
  • Preferred:
    • Doctorate (PhD or DBA) in Data Science, Information Systems, Computer Science, Analytics, or related field
    • 5+ years of experience in data architecture, enterprise analytics strategy, data governance, or business intelligence leadership
    • Professional experience as a Data Architect, Data Engineer, Analytics Director, BI Lead, or Enterprise Data Strategist
    • Experience with enterprise data governance frameworks and data quality management practices
    • Industry certifications such as Certified Data Management Professional (CDMP), AWS Data Analytics, Azure Data Engineer Associate, Google Professional Data Engineer, or equivalent
    • Prior online teaching experience at the graduate level
    • Knowledge of global learner personas and culturally responsive pedagogy
    • Familiarity with Moodle LMS and digital authoring tools (e.g., H5P)

Interested candidates should submit:
A cover letter highlighting relevant qualifications and teaching experience.
A current CV or resume.
Contact information for three professional references.
Application review begins June 1, 2026 though we will continue to accept submissions on an ongoing basis.
This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.
Compensation for this positon is: $6573.15
Pay Range Disclosure
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
Equal Opportunity Statement
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

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