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

SCEYE INC

Data Analyst

Moriarty, NM · On-site

Proficiency in SQL and at least one analysis/scripting language such as Python or R. * Experience with data visualization tools (e.g., Tableau, Power BI, or similar). * Strong understanding of ...

Booz Allen Hamilton

Data Architect, Senior

Albuquerque, NM · On-site

$65.25 - $87.25/hr

... Python and SQL. * Evaluate and recommend data tools, storage strategies, and architectural patterns as the team scales, delivering recommendations with cost or benefit analysis. * Participate in ...

Leidos

Data/Visualization Engineer SME

Albuquerque, NM

$131K - $237K/yr

Familiarity with Python or R for advanced data manipulation and statistical analysis. * Certifications: Relevant industry certifications in Power BI (e.g., Microsoft Certified: Data Analyst Associate ...

Danaher

Digital Analyst Internships

Albuquerque, NM · On-site

$95K - $112K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

FocusKPI

Marketing Operations Analyst

Albuquerque, NM · On-site

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

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, 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 · 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

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Albuquerque, NM

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 Aug 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.

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

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Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Albuquerque, NM as of August 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 Analyst

SCEYE INC

Moriarty, NM • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 4 days ago

Job description

Data Analyst


Status: Full Time

Location: Moriarty, NM

Reports To: Chief of Technology


Who Are We:

Sceye is a high-growth technology company, building the next generation of instant communications, imaging and remote sensing infrastructure through stratospheric platforms.


Our lighter-than-air high-altitude platform systems (LTA HAPS) are capable of maintaining position over an operational area in the stratosphere (altitudes of 18–21km). They can carry multiple telecommunications, imaging and remote sensing payloads, providing unique functionality, cost, environmental and societal advantages.


Our HAPS can be deployed in a matter of days and at a fraction of the cost of traditional infrastructure solutions. This makes them an ideal solution for providing telecommunications connectivity, emergency solutions in the event of natural or other disasters, environmental and infrastructure monitoring, Earth observation and a range of defense applications.


Our customers & partners include some of the largest global telecommunications companies, infrastructure operators, climate researchers, civil and defense agencies.


At Sceye, we aim high, and we want you to join us at the stratospheric edge of innovation. As part of our mission-driven team, you'll contribute to building breakthrough technologies that are changing the way we connect and observe the world. We are looking for individuals who bring not only deep expertise but also bold vision and an unwavering commitment to excellence.


Position Summary:

Sceye is seeking a detail-oriented Data Analyst to support flight test, engineering, and business teams with data-driven insights. This role will work with telemetry, sensor, and operational data generated by our stratospheric platforms, helping teams make informed decisions on vehicle performance, mission readiness, and business operations.


What You’ll Do:

  • Collect, clean, and analyze telemetry and sensor data from flight tests and ground operations.
  • Build dashboards and reports to track vehicle performance, mission metrics, and operational KPIs.
  • Partner with Flight Test, Systems Engineering, and Avionics teams to answer data-driven questions about vehicle performance.
  • Support post-flight data reduction and analysis to inform engineering decisions.
  • Maintain and improve data pipelines that move telemetry and operational data into analysis-ready formats.
  • Perform statistical analysis to identify trends, anomalies, and areas for improvement.
  • Document data definitions, sources, and analysis methodology for internal use.
  • Collaborate with software engineering teams to improve data quality and availability.
  • Support business and operations teams with ad hoc reporting and analysis requests.
  • Present findings clearly to both technical and non-technical stakeholders.


What We're Looking For:

  • Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, or related field, or equivalent experience.
  • 2-4 years of experience in a data analyst or similar analytical role.
  • Proficiency in SQL and at least one analysis/scripting language such as Python or R.
  • Experience with data visualization tools (e.g., Tableau, Power BI, or similar).
  • Strong understanding of statistics and data quality principles.
  • Excellent attention to detail and ability to work with large, messy datasets.
  • Strong communication skills, including the ability to explain analysis to non-technical audiences.


Preferred Qualifications:

  • Experience working with time-series or telemetry data, especially from sensors or flight/test systems.
  • Familiarity with aerospace, engineering, or manufacturing data environments.
  • Experience with data pipeline or ETL tools.
  • Exposure to machine learning or predictive analytics techniques.


Knowledge, Skills & Abilities:

  • Strong analytical and problem-solving mindset with curiosity about the underlying data.
  • Ability to work independently and manage multiple analysis requests in a fast-paced environment.
  • Clear and effective written and verbal communication skills.
  • Comfortable working with engineers, operators, and business stakeholders alike.
  • Detail-oriented with a commitment to data accuracy and integrity.


Physical Requirements:

  • Primarily an office-based role involving extended periods at a computer workstation.
  • Occasional visits to hangar or production facilities to understand data sources.
  • Ability to walk throughout office and production facilities as needed.


What We Offer:

At Sceye, we're building more than high-altitude platforms—we're building a workplace where people (and their pups) thrive. Here's what you'll enjoy:


  • Chef-Prepared Lunches – Fresh, onsite meals to keep you fueled and focused.
  • Snacks & Refreshments – Enjoy a variety of snacks and drinks available throughout the day.
  • Wellness Perks – Access to a gym, pickleball court, and an outdoor dog kennel.
  • Dog-Friendly Environment – Bring your four-legged friends to work and enjoy a pet-welcoming space.
  • Comprehensive Health Coverage – Medical, dental, vision, and disability insurance, with over 82% of premiums covered—and 100% for everything else.
  • 401(k) with Match – Company contributions that are yours from day one.
  • High-Performance Culture – Join a collaborative, inclusive environment where your work helps shape the future of aerospace.


Equal Opportunity Employer:

Sceye is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, disability, veteran status, or any other legally protected status.


We encourage individuals from all backgrounds to apply, especially those who bring unique perspectives and experiences that can help us grow and innovate. If you require reasonable accommodation during the application or interview process, please contact us—we're happy to assist.