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

Booz Allen Hamilton

Data Engineer

Albuquerque, NM · On-site

$61K - $141K/yr

Interpret and analyze data from source systems to support data integration and reporting needs ... Python for data processing and automation. * 1+ year of experience with cloud services.

Varsity Tutors

Data Science Tutor

Albuquerque, NM · Remote

$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

See Albuquerque, NM salary details

$33K

$80.1K

$131.8K

How much do python data analyst jobs pay per year?

As of Sep 11, 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.

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.

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.

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.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.
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Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Albuquerque, NM as of September 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 84% In-person, 5% Hybrid, and 11% Remote job distribution, with an average salary of $80,105 per year, or $38.5 per hour.

Data Center Production Operations Engineer

Los Lunas, NM

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$83K/yr

Full-time

Re-posted 9 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

Meta is seeking a forward thinking experienced engineer to join the Production Operations team within our Data Centers. These Data Centers are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our innovative services are delivered. Meta is at the leading edge of the global data center industry both in terms of how data centers are designed and operated. This person should enjoy working in a fast paced, technical environment where adaptability and flexibility will be key to their success. We seek an IT professional with advanced, hands-on technical skills in server hardware and Linux - ideally in a Data Center environment. Having broad knowledge of server administration and participating in projects in a large-scale distributed data center environment is a core competency of this individual. The candidate should also have working knowledge and experience in a few of the following core areas: Hardware repair, OS management, Tooling and Automation, Networking, or Technical Project Management.
Data Center Production Operations Engineer Responsibilities:
  • Support platform health by successfully resolving and closing tickets, while addressing the overall issue (i.e. addressing root cause) including, but not limited to, remote troubleshooting and physical inspection of services in data halls
  • Participate in deep dives and root cause analysis of highly technical issues within the data center, ranging from automated tooling to hardware failures and network issues
  • Collaborate with cross-functional teams on projects and initiatives related to topics such as process, hardware and automation
  • Point of contact for the introduction of new platforms and hardware to the site, in collaboration with partners and global resources, accelerating the time it takes to bring these products to sustained mass production
  • Use tools and data analysis effectively to identify issues. Take actions to communicate with all stakeholders appropriately and manage or escalate as needed
  • Identify corrective actions of hardware issues, work with internal teams and vendors
  • influence future design changes to ensure ease of serviceability
  • Solve systemic hardware and/or software issues at scale using scripting, automation, and tooling to drive global resolution
  • Continuously evaluate and identify areas for improvement in processes, tools, and systems to optimize efficiency and quality of repairs
  • Use data analytics to drive maximum server up-time and utilization rates, understanding hardware failure rates and service level agreements
  • Support and train team members to evaluate and identify better ways to resolve issues, and define updates to tools and processes
  • Provide engineering support and be a go-to technical resource for the team, leadership, and cross-functional teams in operating and maintaining data center servers
  • Maintain and update documentation i.e. procedures, runbooks and guides
  • Build cross functional relationships and influence policies and procedures that improve global data center operations
  • Participate in 24/7 on-call rotation
  • Ability to travel up to 15% of the time

Minimum Qualifications:
  • Intermediate-level understanding in Linux (or equivalent OS) in a complex IT environment with the ability to triage, debug, and troubleshoot server issues
  • Hands-on experience and knowledge of server hardware and components, including storage
  • Intermediate-level knowledge of the interdependencies of data center functions and technologies including electrical, cooling, structured cabling, security, and network
  • Experience managing technical issues and driving to the root cause
  • Experience participating in technical projects related to areas such as process improvement, technology, and/or automation
  • Ability to communicate effectively, in a clear and concise manner, appropriately tailoring messages to the audience
  • Intermediate-level knowledge of technologies such as HTTP, DNS, RAID, and DHCP
  • Experience in providing technical guidance to external vendors
  • Experience in debugging, modifying and developing commonly used scripting or programming languages in at least one of these languages: Bash, PHP, Python, SQL, Rust, Go or Perl
  • Knowledge of out-of-band/lights-out server communication methods, such as IPMI and serial console
  • Experience using data and metrics to drive decisions

Preferred Qualifications:
  • Experience in fostering growth in others, and driving influence across all organizational levels
  • Experience in a large-scale data center environment
  • Experience with large-scale AI implementations
  • Six Sigma knowledge/certification

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$83,990/year to $130,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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