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Python Data Analyst Jobs in Albuquerque, NM (NOW HIRING)

Dar Group

GIS Analyst

Albuquerque, NM · Hybrid

Support field data collection. * Assist with project tracking, reporting, and quality assurance ... Experience using Python, ModelBuilder, SQL, or FME for GIS automation. * Experience building ...

Booz Allen Hamilton, Inc.

Data Engineer

Albuquerque, NM · On-site

$111K - $133K/yr

Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists ... using Python for data processing and automation * 1+ years of experience with cloud services

Booz Allen Hamilton

Data Engineer

Albuquerque, NM

$111K - $133K/yr

Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists ... using Python for data processing and automation * 1+ years of experience with cloud services

Booz Allen Hamilton, Inc.

Data Engineer

Albuquerque, NM · On-site +1

$111K - $133K/yr

Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists ... using Python for data processing and automation * 1+ years of experience with cloud services

Booz Allen Hamilton

Data Engineer

Albuquerque, NM · On-site

$111K - $133K/yr

Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists ... using Python for data processing and automation * 1+ years of experience with cloud services

Booz Allen Hamilton

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 ...

Booz Allen Hamilton, Inc.

Data Architect

Albuquerque, NM · On-site +1

$61.75 - $79.50/hr

Experience writing and optimizing SQL queries for data transformation and analysis * Experience working with relational databases or cloud data platforms such as AWS * Experience using Python for ...

Booz Allen Hamilton, Inc.

Data Architect

Albuquerque, NM · On-site

$61.75 - $79.50/hr

Experience writing and optimizing SQL queries for data transformation and analysis * Experience working with relational databases or cloud data platforms such as AWS * Experience using Python for ...

Booz Allen Hamilton

Data Engineer

Albuquerque, NM · On-site

$111K - $133K/yr

... Interpret and analyze data from various source systems to support data integration and data ... Python for data processing and automation • 1+ years of experience with cloud services • ...

Varsity Tutors

Data Science Tutor

Albuquerque, NM · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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Python Data Analyst information

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$33K

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How much do python data analyst jobs pay per year?

As of Jul 19, 2026, the average yearly pay for python data analyst in Albuquerque, NM is $80,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $94,000.00 per year, depending on experience, location, and employer.

What does a Python Data Analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python Data Analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

What is the difference between Python Data Analyst vs Data Scientist?

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What Does a Python Data Analyst Do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

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

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

Is Python a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.
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Python Data Analyst jobs near you
Neurosciences Data Specialist

Neurosciences Data Specialist

University of New Mexico

Albuquerque, NM

Other

Re-posted 13 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 555 rated colleges and universities

Job description

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.

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