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Full Time Python Data Analysis Jobs in New Mexico

Cardinal Health

$96K - $116K/yr

... Python) and GCP services (such as BigQuery, Cloud Storage, and Dataflow). * Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high ...

3D Glass Solutions Inc

RF Test Engineer

Albuquerque, NM · On-site

Perform data analysis and present results to members of the engineering team and upper management. * Automate measurements, testing, and analysis using software tools such as Python and JMP. Automate ...

3D Glass Solutions

RF Test Engineer

Albuquerque, NM

Perform data analysis and present results to members of the engineering team and upper management. * Automate measurements, testing, and analysis using software tools such as Python and JMP. Automate ...

3D Glass Solutions

RF Test Engineer

Albuquerque, NM · On-site

Perform data analysis and present results to members of the engineering team and upper management. * Automate measurements, testing, and analysis using software tools such as Python and JMP. Automate ...

3D Glass Solutions Inc

RF Test Engineer

Albuquerque, NM · On-site

Perform data analysis and present results to members of the engineering team and upper management. * Automate measurements, testing, and analysis using software tools such as Python and JMP. Automate ...

Bristol Myers Squibb

SQL proficiency; working knowledge of R or Python for data manipulation, QC, or analytical ... full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on ...

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All JobsPython Data Analysis JobsFull Time Python Data Analysis JobsFull Time Python Data Analysis Jobs in New Mexico

Full Time Python Data Analysis information

What is a full time python data analyst?

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.

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.

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 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:

Full Time Python Data Analysis jobs near you

Data Center Production Operations Engineer

Meta

Los Lunas, NM

$83K/yr

Full-time

Re-posted 3 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies

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:
  • BS, BA or BEng in technical field or commensurate experience
  • 5+ years of technical IT experience within an infrastructure environment, in a role such as Systems Administrator, DevOps Engineer, or Site Reliability Engineer
  • 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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