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Data Labeling Analyst Ii Jobs in Arizona (NOW HIRING)

NOAO

Data Analyst II

Tucson, AZ · On-site

$59K - $75K/yr

The Data Analyst II provides advanced scientific data systems support and scientific research program support for NOIRLab. This role contributes to the development, operation, and enhancement of ...

Gcu

Data Analyst II

Phoenix, AZ

We are seeking a Data Analyst II to join our Faculty Services team! We are seeking an analytical thinker who thrives in a collaborative environment and is passionate about data integrity, system ...

Freeport McMoRan

Data Analyst II - Site

Bagdad, AZ

$73.50K - $101K/yr

As a Data Analyst II - Site you will work under moderate supervision as a key enabler to secure realization of business value from analytics, data and new ways of working. You have a strong customer ...

Freeport-McMoRan, Inc.

Data Analyst II - Site

Bagdad, AZ · On-site

$73.50K - $101K/yr

As a Data Analyst II - Site you will work under moderate supervision as a key enabler to secure realization of business value from analytics, data and new ways of working. You have a strong customer ...

Freeport McMoRan

Data Analyst II - Site

Bagdad, AZ · On-site

$73.50K - $101K/yr

As a Data Analyst II - Site you will work under moderate supervision as a key enabler to secure realization of business value from analytics, data and new ways of working. You have a strong customer ...

Freeport McMoRan

Data Analyst II - Site

Bagdad, AZ

$73.50K - $101K/yr

As a Data Analyst II - Site you will work under moderate supervision as a key enabler to secure realization of business value from analytics, data and new ways of working. You have a strong customer ...

Freeport-McMoRan

Data Analyst II - Site

Bagdad, AZ · On-site

The Data Analyst II - Site will utilize analytics tools to analyze data and deliver actionable insights that drive business value, while working collaboratively in an agile environment.

1872 Consulting

Business Data Analyst II

Tempe, AZ · On-site

Business Data Analyst II A market leader in financial service advice to tech companies and investors - they possess the most valuable dataset in venture capital. Through analytics and Sales Ops they ...

University of Arizona

Scientific Analyst II

Tucson, AZ · On-site

Scientific Analyst II Posting Number req25756 Department UAHS Brain Science Department Website Link ... The position requires advanced expertise in data science, artificial intelligence, and machine ...

CommonSpirit Health

Financial Analyst II

Phoenix, AZ

Every day you will analyze financial data, interpret complex information, and communicate findings or recommendations to stakeholders, ensuring accuracy and compliance in financial processes. To be ...

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Data Labeling Analyst Ii information

What are the key skills and qualifications needed to thrive as a Data Labeling Analyst II, and why are they important?

A Data Labeling Analyst II should possess strong attention to detail, familiarity with data annotation processes, and a background in computer science or a related field. Proficiency with data labeling tools such as Labelbox, Supervisely, or CVAT, as well as experience with database management systems, is typically required. Excellent communication, problem-solving abilities, and adaptability help analysts efficiently collaborate and manage evolving project requirements. These skills ensure the creation of high-quality labeled datasets, which are essential for training accurate machine learning models.

How does a Data Labeling Analyst II typically collaborate with data scientists and machine learning engineers during projects?

As a Data Labeling Analyst II, you will frequently work closely with data scientists and machine learning engineers to ensure datasets are accurately annotated for model training and validation. Collaboration often involves clarifying labeling guidelines, providing feedback on ambiguous cases, and adjusting annotation strategies based on project goals. Regular communication and review sessions help maintain consistency and high-quality data, which are vital for successful machine learning outcomes. This teamwork also offers opportunities to learn more about the end use of labeled data and to contribute ideas that improve overall data processes.

What does a Data Labeling Analyst II do?

A Data Labeling Analyst II is responsible for accurately categorizing and annotating large datasets, which are often used to train machine learning models. This role involves reviewing data such as images, audio, text, or videos and applying predefined tags or labels according to specific guidelines. A Data Labeling Analyst II may also help improve labeling processes, provide feedback on data quality, and support junior analysts. Their work ensures that AI and data-driven technologies can learn effectively from high-quality, well-labeled data.
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Data Labeling Analyst Ii jobs near you
Infographic showing various Data Labeling Analyst Ii job openings in Arizona as of May 2026, with employment types broken down into 69% Full Time, 28% Part Time, and 3% Contract. Highlights an 74% Physical, 6% Hybrid, and 20% Remote job distribution.
Data Analyst II

Data Analyst II

Association Of Universities For Research In Astronomy

Tucson, AZ • On-site

$59K - $75K/yr

Full-time

Retirement, PTO

Posted 13 days ago

Job description

The Data Analyst II provides advanced scientific data systems support and scientific research program support for NOIRLab. This role contributes to the development, operation, and enhancement of software and data systems that enable the archiving, processing, analysis, visualization, and distribution of astronomical data. The Data Analyst II also works directly with researchers, providing technical and data-oriented support for original scientific research projects.

At the Level II, this position is expected to work more independently on complex projects, contribute insights to project planning and execution, and support both internal staff and the external scientific user community.

Essential Functions
  • Develop, deploy, operate, and document software-based workflows and procedures for astronomical data management, processing, and analysis
  • Meet functional, technical, and scientific requirements according to approved schedules provided by team leads and scientific staff
  • Investigate, evaluate, test, and compare tools, platforms, and methodologies for astronomical data science applications
  • Operate, validate, and maintain workflows for data processing and ingestion into archives and databases
  • Create and maintain tutorial scripts, example code, and interactive notebooks to support scientific use of NOIRLab data sets and services
  • Respond to and support helpdesk inquiries from the scientific user community related to NOIRLab data products and services
  • Design, develop, test, and maintain web pages and web-based user interfaces
  • Collaborate with NOIRLab scientists, software engineers, external partners, and other stakeholders to achieve mission goals
  • Work directly with researchers to support scientific analysis and project execution
  • Participate in ongoing training to maintain and expand expertise in data analysis tools, programming languages, and scientific software
  • Assist with training and knowledge sharing for other staff, including more junior team members
  • Ensure proper management and control of AURA property within the assigned work area
  • Maintain compliance with applicable government award terms and conditions as defined in the Vela Award Management system
  • May provide training and guidance to more junior staff
Requirements
  • Bachelor’s degree (or equivalent) in astronomy, physics, computer science, or a related field
  • 2–3 years of experience supporting astronomical research programs or scientific data systems
    • A master’s degree may be substituted for 1–2 years of required experience
  • Demonstrated initiative, sound judgment, integrity, and technical competence
  • Mastery of the knowledge, skills, and abilities expected at Level I
  • Greater depth and breadth of technical and scientific expertise, with the ability to apply that expertise to complex projects and data sets
  • Experience working independently on assignments while contributing effectively within collaborative, multidisciplinary teams
  • Ability to provide input, insights, and recommendations into project design, implementation, and process improvement
  • Proficiency in several of the following areas:
    • Astronomical data types (e.g., imaging, photometry, spectroscopy, astrometry)
    • Astronomical data analysis algorithms and scientific software
    • Data visualization techniques
    • Statistics and error analysis
    • Relational and non-relational database systems
    • Management of large or unstructured data sets
    • Machine learning and artificial intelligence approaches for scientific data
    • Programming languages such as Python, C/C++, and/or Java
    • Computing environments including Linux/UNIX, macOS, and Windows
    • Web page and web-based user interface design and maintenance
    • Analysis and understanding of scientific user and research goals
  • Strong interpersonal and collaboration skills, with the ability to work productively across diverse teams and roles
  • Advanced verbal, written, and presentation skills, including the ability to communicate scientific or technical concepts clearly
  • Demonstrated ability to document workflows, methods, results, and conclusions in technical reports or scientific publications
  • Adaptability and versatility to learn new tools and techniques, take on new responsibilities, and grow with evolving project needs
 
The NSF NOIRLab is the preeminent US national center for ground-based, nighttime optical and infrared astronomy. NOIRLab is a Federally Funded Research and Development Center (FFRDC) which operates as a matrix organization, providing services across a range of programs: Gemini, Rubin, MSO (CTIO and KPNO), and CSDC; with facilities in three geographic locations: Arizona, Chile and Hawai’i. The mission of NOIRLab is to enable breakthrough discoveries in astrophysics by developing and operating state-of-the-art ground-based observatories and providing data products and services for our community.
 
Salary Range: $59,000 - $75,000 annually. The final salary will depend on skills, qualifications and experience.
 
AURA offers an excellent benefits package including paid time off and retirement plan contributions, competitive salary commensurate with experience, and a very attractive work environment. Details on benefits can be found at Benefits by Location - Aura Human Resources
 

Apply by June 1, 2026 for priority consideration. This position will remain open until it is filled. Please submit a cover letter and a CV or resume, PDF files preferred. Please name any attachments with the following format: LastName DocName.

Individuals needing assistance with the employment process can request assistance here.

 
 

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