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Full Time Python Data Analysis Jobs in New Mexico

Conducts data analysis to identify trends, patterns, and insights related to student success ... Experience using PowerBI, SQL, Python, SAS Enterprise Guide, and/or SAS Viya is a plus. EEO ...

Research Analyst

Albuquerque, NM · On-site

$53K - $67K/yr

Conducts data analysis to identify trends, patterns, and insights related to student success ... Experience using PowerBI, SQL, Python, SAS Enterprise Guide, and/or SAS Viya is a plus. EEO ...

Data Engineer

Albuquerque, NM · On-site

$111K - $133K/yr

Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Albuquerque, NM

$111K - $133K/yr

Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Engineering Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular ... Experience coding for data analytics and visualization, utilizing languages such as Python, R, or ...

Data Architect

Albuquerque, NM · On-site

$61.75 - $79.50/hr

As a Junior Data Architect, you'll work alongside engineers, analysts, and business stakeholders to ... Experience using Python for data processing, automation, or scripting * Knowledge of ETL and ELT ...

Data Architect

Albuquerque, NM · On-site

$61.75 - $79.50/hr

Responsibilities : • Design and maintain logical and physical data models that support analytics ... Python for data processing, automation, or scripting • Knowledge of ETL and ELT processes and ...

Position Summary We are seeking a full-time, onsite Data Steward to support the organization's data ... Use SQL, JavaScript, Python, AI tools, and related technologies to support reporting, automation ...

Position Summary We are seeking a full-time, onsite Data Steward to support the organization's data ... Use SQL, JavaScript, Python, AI tools, and related technologies to support reporting, automation ...

Salary: DOE Position Summary We are seeking a full-time, onsite Data Steward to support the ... Use SQL, JavaScript, Python, AI tools, and related technologies to support reporting, automation ...

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Full Time Python Data Analysis information

Can I be a data analyst with just Python?

A data analyst role typically requires knowledge of multiple tools and skills, including SQL, Excel, and data visualization software, in addition to Python. While Python is a valuable skill for data analysis, relying solely on it may limit your ability to perform all necessary tasks effectively. Developing a broader skill set can improve job prospects and performance in data analysis roles.

What are some common challenges faced by Full Time Python Data Analysts and how can they be addressed?

Full Time Python Data Analysts often encounter challenges such as handling large, messy datasets and ensuring data accuracy. Navigating complex data sources or integrating data from multiple platforms can also be demanding. To address these challenges, analysts typically leverage robust Python libraries like pandas and NumPy for efficient data wrangling, and collaborate closely with data engineering teams to clarify requirements and resolve data discrepancies. Regular code reviews and adopting best practices in data validation help maintain data integrity and streamline analysis workflows.

Is 40 too late for data science?

Full Time Python Data Analysis roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and machine learning can help you enter the field regardless of age, and continuous education or certifications can improve your prospects.

What are the key skills and qualifications needed to thrive as a Full Time Python Data Analyst, and why are they important?

To thrive as a Full Time Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (such as pandas and NumPy), data visualization tools (like Matplotlib or Seaborn), and experience with SQL databases are commonly required. Attention to detail, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills and qualities are crucial for extracting actionable insights from data and effectively collaborating with stakeholders to inform business decisions.

What is the difference between Full Time Python Data Analysis vs Data Scientist?

AspectFull Time Python Data AnalysisData Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related field; Python skillsBachelor's or higher in Data Science, Computer Science, or related; Python, R, ML certifications
Work EnvironmentCorporate, finance, marketing, or tech companies; data-focused teamsResearch labs, tech firms, finance, or healthcare; data modeling and research
Employer & Industry UsageCommon in industries needing data reporting and insightsUsed for predictive modeling, machine learning, and advanced analytics

Full Time Python Data Analysts focus on interpreting data and generating reports using Python, while Data Scientists develop models and algorithms for predictive analytics. Both roles require Python skills, but Data Scientists typically have more advanced statistical and machine learning expertise. The roles often overlap, but Data Scientists tend to work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

What is a Full Time Python Data Analysis job?

A Full Time Python Data Analysis job involves using the Python programming language to collect, clean, analyze, and visualize data in order to help organizations make data-driven decisions. Professionals in this role work with large data sets, utilize libraries like pandas and NumPy, and often create reports or dashboards to communicate their findings. They may collaborate with other teams to identify trends, solve business problems, and provide actionable insights based on the data.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace them in the near future.
What are the most commonly searched types of Python Data Analysis jobs in New Mexico? The most popular types of Python Data Analysis jobs in New Mexico are:
What cities in New Mexico are hiring for Full Time Python Data Analysis jobs? Cities in New Mexico with the most Full Time Python Data Analysis job openings:
Neurosciences Data Specialist

Neurosciences Data Specialist

University of New Mexico

Albuquerque, NM • On-site

$4.8K - $6.9K/mo

Full-time

Medical, Dental, Vision, Life

Re-posted 5 days ago


University Of New Mexico rating

8.5

Company rating: 8.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

70th of 552 rated colleges and universities


Job description

Programmer Analyst 3
Requisition ID
req36315
Working Title
Neurosciences Data Specialist
Position Grade
14
Position Summary
This position is a term appointment ending 6/30/28, subject to availability of additional funding. Due to budgetary constraints, we are unable to sponsor or take over sponsorship of an employment Visa. Applicants must be authorized to work in the United States on a full-time basis.
The UNM Health Sciences Library & Informatics Center and School of Medicine's Department of Neuroscience are looking for someone innovative with experience in data curation and data science, who is excited to advance our understanding of the brain by building more robust data analytic pipelines.
The Department of Neurosciences works with numerous types of clinical and preclinical data, including: EEG, electrophysiology, microscopy, and OMICs datasets. The successful candidate will work closely with Neurosciences researchers to develop innovative solutions for research data management, curation, and sharing. The candidate will use tools such as SQL, Python, and GitHub to create and maintain novel solutions for data curation, organization, and dissemination to support cutting-edge research.
Duties include:
  • Consults with and advises Department of Neurosciences researchers on preparing and managing data to meet regulatory and funder requirements for data sharing, research transparency, and rigor.
  • Assists in designing novel solutions for data curation, organization, and dissemination to support cutting-edge research.
  • Designs, develops, and maintains reproducible data workflows.
  • Develops data pipelines, scripts, and high-quality metadata to support research replication and transparency.
  • Addresses a variety of data integration issues including migration of data between disparate sources and conversion to neurosciences-specific data standards, such as those established by Neurodata Without Borders.
  • Provides support for version control through adoption of Git-based tools and code archiving.
  • Assists in migration of data to repositories, databases, and electronic lab notebooks.
  • Assists with utilization of LabArchives for organizing and sharing research data.
  • Supervises and trains up to six students in the management of research data and creation of reproducible data pipelines.
  • Collaborates with university IT to ensure that solutions meet local requirements for data security and privacy protections.

See the Position Description for additional information.
Conditions of Employment
  • Specialty licensure/certification may be required, as specified by the department.
  • Successful candidate may be subject to a criminal background check prior to starting work.

Minimum Qualifications
Bachelor's degree; at least 2 years of progressively responsible experience directly related to the duties and responsibilities specified.
Completed degree(s) from an accredited institution and/or experience that is directly related to the duties and responsibilities specified may be interchangeable on a year-for-year basis.
Preferred Qualifications
Minimum Qualifications:
  • Bachelor's degree in a relevant field; at least 2 years of progressively responsible experience directly related to the duties and responsibilities specified.
  • Completed degree(s) from an accredited institution and/or experience that is directly related to the duties and responsibilities specified may be interchangeable on a year-for-year basis.

Preferred Qualifications:
  • Programming fluency in Python, R, SQL, and/or other programming language(s).
  • Experience with software version control and use of Git-based tools.
  • Experience with managing and curating large, complex datasets.
  • Excellent communication skills to collaborate across technical and non-technical teams.
  • Experience using electronic lab notebooks, such as LabArchives.
  • Experience working in a research or academic setting.
  • Experience supervising staff and/or students.

Additional Requirements
This position is a term appointment with an anticipated ending date of 6/30/28. Continuance beyond that date is subject to the availability of additional funding.
Campus
Health Sciences Center (HSC) - Albuquerque, NM
Department
HS Library and Informatics Center (AFB)
Employment Type
Staff
Staff Type
Term - Full-Time
Term End Date
6/30/2028
Status
Exempt
Pay
Monthly: $4,875.87 - $6,976.67
Benefits Eligible
This is a benefits eligible position. The University of New Mexico provides a comprehensive package of benefits including medical, dental, vision, and life insurance. In addition, UNM offers educational benefits through the tuition remission and dependent education programs. See the Benefits home page for a more information.
ERB Statement
As a condition of employment, eligible employees working greater than .25 FTE as determined by the New Mexico Education Retirement Act must make mandatory retirement contributions. For more information, review the Benefits Eligibility at a Glance grid.
Background Check Required
Yes
For Best Consideration Date
4/28/2026
Eligible for Remote Work
Yes
Eligible for Remote Work Statement
This position requires frequent in-person work. A hybrid schedule of working 1-2 days per week at home may be considered after training and onboarding. Renewal of Term Appointments is not guaranteed; the remote work arrangement, operational, and business needs will be considered in determining whether to renew the Term Appointment.
Application Instructions
Only applications submitted through the official UNMJobs site will be accepted. If you are viewing this job advertisement on a 3rd party site, please visit UNMJobs to submit an application.
Applicants are required to submit a current resume/CV, a cover letter outlining relevant qualifications, and a list of three professional references with contact information. Failure to submit all required materials will result in the candidate being removed from consideration.This position is a term appointment ending 6/30/28. Continuance beyond that date is subject to the availability of additional funding. Due to budgetary constraints, we are unable to sponsor or take over sponsorship of an employment Visa. Applicants must be authorized to work in the United States on a full-time basis.
Positions posted with a Staff Type of Regular or Term are eligible for the Veteran Preference Program. See the Veteran Preference Program webpage for additional details.
The University of New Mexico is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected class.
The University of New Mexico requires all regular staff positions successfully pass a pre-employment background check. This may include, but is not limited to, a criminal history background check, New Mexico Department of Health fingerprint screening, New Mexico Children, Youth, and Families Department fingerprint screening, verification of education credentials, and/or verification of prior employment. For more information about background checks, visit https://policy.unm.edu/university-policies/3000/3280.html. Refer to https://policy.unm.edu/university-policies/3000/3200.html for a definition of Regular Staff.

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