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Part Time Root Cause Analysis Jobs (NOW HIRING)

Divcon Controls

Sr. Quality Manager

Irving, TX · On-site

Lead Root Cause Analysis (RCA), Corrective and Preventive Actions (CAPA), and lessons learned initiatives to identify systemic issues, reduce defects, and drive long-term process improvements.

SBS Corp

US-AC Network Engineer

Milpitas, CA · On-site

$65 - $70/hr

Responsibilities: • Be physically present on-site for this role. • Part Time. 20 Hours Per Week ... Basic business acumen and knowledge of root cause analysis and problem detection. * Effective ...

TECHOAUTH SOLUTIONS LLC

Network Engineer

Phoenix, AZ · Hybrid

Lead incident triage, root cause analysis, and postmortems. Collaborate with security, DevOps, and platform engineering teams. Enforce AWS security best practices (NACLs, Security Groups, WAF, Shield)

New

Total Safety

VPP Program Coordinator

Westlake, LA · On-site

SM • Familiarity with incident investigation, root cause analysis, and safety data trending. • Experience preparing for external audits (OSHA, VPP recertification, etc.) Knowledge, Skills ...

Leidos

Quality Assurance Analyst

Egg Harbor Township, NJ · On-site

$65.65K - $118.68K/yr

The Leidos National Airspace Systems Integration Support (NISC) Program is looking for a part-time ... Lead root cause analysis for non-conformities and implement corrective/preventative actions.

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Part Time Root Cause Analysis information

What are the key skills and qualifications needed to thrive as a Part Time Root Cause Analysis professional, and why are they important?

To thrive as a Part Time Root Cause Analysis professional, you need strong analytical skills, a background in problem-solving methodologies, and relevant experience or education in quality management or process improvement. Familiarity with tools such as the 5 Whys, Fishbone (Ishikawa) diagrams, and data analysis software is typically required. Excellent communication, attention to detail, and the ability to collaborate effectively with cross-functional teams are crucial soft skills. These competencies ensure accurate identification of underlying issues and the development of effective solutions, leading to lasting improvements in organizational processes.

What are some common challenges faced in a part-time root cause analysis role, and how can they be addressed?

One common challenge in a part-time root cause analysis role is effectively managing limited hours while ensuring thorough investigations. Prioritizing cases, maintaining organized documentation, and clear communication with full-time team members are essential to staying aligned and efficient. Additionally, since root cause analysis often involves cross-functional collaboration, proactively scheduling meetings and updates can help bridge any gaps caused by a part-time schedule. Embracing digital tools for tracking and reporting can also facilitate seamless handoffs and ensure consistency in findings.

What is a part-time root cause analysis job?

A part-time root cause analysis job involves investigating and identifying the underlying reasons for problems or failures within an organization, but on a part-time basis. Professionals in this role use analytical methods to find the source of issues and recommend solutions to prevent them from recurring. The part-time nature of the job means that the analyst works fewer hours than a full-time employee, which can provide flexibility for other commitments. Tasks may include data collection, conducting interviews, preparing reports, and collaborating with various departments.

What is the difference between Part Time Root Cause Analysis vs Part Time Quality Assurance?

AspectPart Time Root Cause AnalysisPart Time Quality Assurance
Required CredentialsAnalytical skills, problem-solving certifications, sometimes technical degreesQuality management certifications, attention to detail, technical knowledge
Work EnvironmentOffice settings, manufacturing plants, or technical departmentsManufacturing facilities, labs, or office environments
Employer & Industry UsageManufacturing, engineering, IT, healthcareManufacturing, software, healthcare, service industries

Part Time Root Cause Analysis focuses on identifying underlying issues causing problems, often requiring analytical skills and technical knowledge. Part Time Quality Assurance emphasizes maintaining product or service quality through testing and process checks. While both roles support operational excellence, they differ in their primary focus and methods.

What cities are hiring for Part Time Root Cause Analysis jobs? Cities with the most Part Time Root Cause Analysis job openings:
What are the most commonly searched types of Root Cause Analysis jobs? The most popular types of Root Cause Analysis jobs are:
Part Time Root Cause Analysis jobs near you

Data Pipeline Engineer - School of Computer Science - MLD

Carnegie Mellon University

Pittsburgh, PA • On-site, Remote

$111.20K - $133.50K/yr

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

49th of 530 rated colleges and universities

Job description

Carnegie Mellon University is a private, global research university that stands among the world's most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!
The Machine Learning Department (MLD) at Carnegie Mellon University is a leading hub for research and education in artificial intelligence and machine learning. It focuses on developing innovative algorithms and models to address complex problems in diverse fields such as robotics, healthcare, and finance. The department offers a range of undergraduate and graduate programs, fostering a collaborative environment that bridges theoretical research and practical applications. Faculty and students frequently collaborate with industry and other academic disciplines to push the boundaries of what is possible with machine learning.
We are seeking a Data Pipeline Engineer to join the team! As a Data Pipeline Engineer, your role is vital in ensuring the integrity and reliability of our data pipelines. This position is responsible for monitoring, troubleshooting, and conducting root cause analysis of data quality issues within our pipelines, but as a part time team member, you will consult and assist rather than lead in these areas. Your contributions are crucial to maintaining the high standard of our epidemiological tracking and forecasting tools. This role will report directly to the Delphi Engineering Manager.
Core Responsibilities
  • Monitor and maintain the health and efficiency of data pipelines.
  • Troubleshoot and perform root cause analysis for data discrepancies and pipeline issues.
  • Communicate with data providers to understand data discrepancies and manage changes in data delivery.
  • Implement fixes and enhancements to improve data quality and pipeline performance.
  • Collaborate with data scientists and analysts to understand data needs and implement effective data solutions.
  • Develop strategies for data validation and quality assurance.
  • Optimize data flow and collection to improve system efficiency.
  • Document and manage data pipeline architectures, including maintenance and update protocols.
  • Use tools such as SQL, version control and CI/CD, containerization, task schedulers, python frameworks, and cloud services for data pipeline management.
  • Ensure compliance with data governance and security standards.

Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.
Qualifications:
  • Bachelor's Degree required.
  • Minimum one year of research computing experience required.
  • Basic Linux use and administration: system layout, file permissions, shell, utilities (syslog, cron), diagnostic tools (ps, htop, grep, lsof)
  • Experience in Apache Airflow, preferably version 3.0
  • Basic database use, especially in Postgres
  • Rough script programming (Python, bash)
  • Team software development (git/GitHub, Jira, code reviews, agile methodologies)
  • Data analysis: diagnosing and fixing runtime errors and logic bugs; performing basic growth projections to predict future problems; communicating results
  • Required technologies: Python, MySQL/Postgres, Linux, git & GitHub, Apache Airflow
  • A combination of education and proven experience from which comparable knowledge is demonstrated may be considered.

Preferred Technologies and Languages:
  • Linux, Ubuntu, Bash, Make
  • Apache Airflow
  • Python, pandas, Flask, PyPI publishing
  • SQL, Postgres
  • git, GitHub, GitHub Actions, GitHub Issues
  • Docker, Docker Compose
  • Elastic, Kibana, FileBeat
  • G Suite (Calendar, Mail, Docs, Sheets, Slides, Forms, AppsScript, Groups)
  • Jira Software

Requirements:
  • Successful completion of a pre-employment background check

Joining the CMU team opens the door to an array of exceptional benefits.
Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.
Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!
For a comprehensive overview of the benefits available, explore our Benefits page.
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations.
Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
Location
Remote
Job Function
Software/Applications Development/Engineering
Position Type
Staff - Fixed Term (Fixed Term)
Full Time/Part time
Part time
Pay Basis
Hourly
More Information:
  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
  • Click here to view a listing of employee benefits
  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
  • Statement of Assurance

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