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Entry Level Python Data Analysis Jobs in Albuquerque, NM

Raytheon

Affordability Risk Engineer

Albuquerque, NM

Experience with data analysis tools such as Python, R, MATLAB, Tableau, or Power BI. * Proficiency with Microsoft Excel (pivot tables, formulas, charts). * Ability to communicate technical and cost ...

Actalent

Systems Engineer

Albuquerque, NM · On-site

Python programming experience, particularly for test automation, data analysis, or scripting (Python experience is a plus). * Experience working with sensors, quality control tools, customer-facing ...

New

Fuse

Nuclear Engineer

Albuquerque, NM · On-site

$95K - $114K/yr

Proficiency in data analysis and programming using Python, MATLAB, C++, or similar tools. Familiarity with regulatory frameworks including CNSC, NRC, and IAEA standards. Preferred Qualifications ...

New

Varsity Tutors

Business Analytics Tutor

Albuquerque, NM · Remote

$18 - $40/hr

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

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Entry Level Python Data Analysis information

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$12

$31

$59

How much do entry level python data analysis jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for entry level python data analysis in Albuquerque, NM is $31.92, according to ZipRecruiter salary data. Most workers in this role earn between $20.48 and $35.67 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Python Data Analysis vs Data Analyst?

AspectEntry Level Python Data AnalysisData Analyst
Required SkillsPython, SQL, basic statistics, data visualizationExcel, SQL, statistics, data visualization
CertificationsPython programming, data analysis coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, startups, data-driven teamsBusiness, finance, healthcare sectors
Typical TasksData cleaning, scripting in Python, creating dashboardsData reporting, analysis, presenting insights

Entry Level Python Data Analysis focuses on using Python for data manipulation and visualization, often requiring programming skills. Data Analysts may use a broader set of tools like Excel and Tableau but also perform similar data interpretation tasks. Both roles are entry-level positions in data teams, but Python skills give an edge in automation and handling larger datasets.

What are the most commonly searched types of Python Data Analysis jobs in Albuquerque, NM?

The most popular types of Python Data Analysis jobs in Albuquerque, NM are:

What are popular job titles related to Entry Level Python Data Analysis jobs in Albuquerque, NM?

For Entry Level Python Data Analysis jobs in Albuquerque, NM, the most frequently searched job titles are:

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The top searched job categories for Entry Level Python Data Analysis jobs in Albuquerque, NM are:

Entry Level Python Data Analysis jobs near you
Infographic showing various Entry Level Python Data Analysis job openings in Albuquerque, NM as of June 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 100% In-person job distribution, with an average salary of $66,386 per year, or $31.9 per hour.

Field Operational Meteorologist

Roadrunner Venture Studio

Albuquerque, NM • On-site

Full-time

Posted 8 days ago

Job description

Field Operational Meteorologist
Roadrunner Venture Studios is the nation's leading platform for founding breakthrough ventures in frontier technology. We partner with scientists, engineers, and entrepreneurs to turn deep tech into real companies across energy, manufacturing, semiconductors, quantum computing, aerospace, advanced materials, AI, and high-performance computing.
Roadrunner Venture Studios is recruiting a Field Operational Meteorologist for one of our portfolio companies developing rainfall enhancement technology.
What you'll do:
As a Field Operational Meteorologist based in Albuquerque, New Mexico, you'll work directly with science and field teams to translate atmospheric conditions, forecasts, and real-time observations into operational decisions. This is a hands-on role for someone who is equally comfortable analyzing weather data and working in the field with meteorological sensing systems.
Before and during deployments, you'll produce daily and event-based forecasts, identify favorable and unfavorable operating windows, and provide live weather monitoring for field teams. You'll use numerical weather prediction models alongside radar, satellite, soundings, and data from field-deployed sensing systems.
You'll help deploy, operate, and interpret data from Doppler LiDAR, weather radar, radiometers, radiosondes, disdrometers, ceilometers, surface weather stations, and other meteorological sensing systems. You'll also help develop field observation protocols, troubleshoot instrumentation, and ensure high-quality data collection during deployments.
After deployments, you'll analyze meteorological and sensor datasets, compare forecasts with observed atmospheric behavior, and use those findings to improve operational criteria and future deployments. You'll work with numerical weather prediction models including WRF, CM1, MPAS, and related systems, and help develop forecasting tools, scripts, dashboards, and data workflows.
Preferred Qualifications:
  • Bachelor's degree or higher in meteorology, atmospheric science, physics, environmental science, hydrology, or a related field.
  • Experience in operational or field meteorology, applied forecasting, atmospheric research, aviation weather, hydrology, or environmental monitoring.
  • Hands-on experience with meteorological field-sensing and remote-sensing systems such as Doppler LiDAR, weather radar, radiometers, radiosondes, disdrometers, ceilometers, and surface weather stations.
  • Experience deploying, operating, troubleshooting, or analyzing data from meteorological instrumentation in field environments.
  • Experience with numerical weather prediction models such as WRF, CM1, MPAS, or similar systems.
  • Familiarity with meteorological data formats such as NetCDF and GRIB and working knowledge of Python, GIS, or other data-analysis tools.
  • Experience with remote sensing, cloud microphysics, convective clouds, precipitation processes, or weather modification.
  • Experience with field campaigns and operations in the Southwest United States, particularly New Mexico.
  • Experience developing forecasting tools, scripts, dashboards, automated data pipelines, or other operational meteorology workflows.
  • Familiarity with command-line AI tools such as Claude Code, OpenAI Codex, OpenClaw, Hermes, or similar tools.

This role is based in Albuquerque, New Mexico and requires regular in-person work with the operations team, field teams, and deployment hardware. Travel to field deployment locations will be required.

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