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Entry Level Analytics Engineer Jobs in Albuquerque, NM

Pulte Group

Procurement Agent

Albuquerque, NM

Lead category management strategies such as cost analysis, negotiation preparation, and ... May provide guidance and assistance to entry level professionals and/or support employees.

PulteGroup, Inc.

Procurement Agent

Albuquerque, NM · On-site

Lead category management strategies such as cost analysis, negotiation preparation, and ... May provide guidance and assistance to entry level professionals and/or support employees.

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All JobsAnalytics Engineer JobsEntry Level Analytics Engineer JobsEntry Level Analytics Engineer Jobs in Albuquerque, NM

Entry Level Analytics Engineer information

See Albuquerque, NM salary details

$39.3K

$83.7K

$138.1K

How much do entry level analytics engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for entry level analytics engineer in Albuquerque, NM is $83,731.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $100,300.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Analytics Engineer vs Data Analyst?

AspectEntry Level Analytics EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; some certificationsBachelor's in Statistics, Math, or related field; certifications optional
Work EnvironmentTechnical teams, data engineering projects, software toolsBusiness units, reporting, data visualization tools
Employer & Industry UsageTech companies, startups, data-driven organizationsFinance, marketing, healthcare, retail
Common Search & ComparisonYesYes

The Entry Level Analytics Engineer focuses on building data pipelines, integrating data sources, and supporting data infrastructure, often requiring programming skills. Data Analysts primarily interpret data, create reports, and visualize insights for business decisions. While both roles work with data, Analytics Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on analysis and reporting.

What does an entry level analytics engineer do?

An Entry Level Analytics Engineer is responsible for building and maintaining data pipelines, transforming raw data into usable formats, and ensuring data quality for analysis. They work closely with data analysts and data scientists to create data models and automate data workflows, often using tools like SQL, Python, and cloud data platforms. Entry level positions focus on learning best practices, supporting senior engineers, and helping the organization make data-driven decisions by providing clean and reliable data.

What are the key skills and qualifications needed to thrive as an entry level analytics engineer, and why are they important?

To thrive as an Entry Level Analytics Engineer, you need a solid grounding in data analysis, SQL, and basic programming skills, often supported by a degree in computer science, statistics, or a related field. Familiarity with data modeling tools, analytics platforms like dbt, and cloud data warehouses such as Snowflake or BigQuery is typically expected. Strong problem-solving abilities, attention to detail, and effective communication are important soft skills that help bridge technical and business needs. These skills ensure accurate, actionable data insights and smooth collaboration with cross-functional teams in data-driven environments.

What types of projects do entry level analytics engineers typically work on, and how do they collaborate with data teams?

Entry Level Analytics Engineers often assist with building and maintaining data pipelines, transforming raw data into usable formats for analysis, and developing reports or dashboards for business stakeholders. They work closely with data analysts to understand reporting needs and with data engineers to ensure data quality and efficient data flow. Collaboration is key, as they may participate in team meetings, code reviews, and documentation efforts to support broader analytics goals. This role provides hands-on experience with modern data tools while offering opportunities to learn from more senior team members.
What are popular job titles related to Entry Level Analytics Engineer jobs in Albuquerque, NM? For Entry Level Analytics Engineer jobs in Albuquerque, NM, the most frequently searched job titles are:
What job categories do people searching Entry Level Analytics Engineer jobs in Albuquerque, NM look for? The top searched job categories for Entry Level Analytics Engineer jobs in Albuquerque, NM are:
Entry Level Analytics Engineer jobs near you
Infographic showing various Entry Level Analytics Engineer job openings in Albuquerque, NM as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $83,731 per year, or $40.3 per hour.

HPC Systems Splst 1

University of New Mexico

Albuquerque, NM • On-site

Full-time

Re-posted 25 days ago

University Of New Mexico rating

8.4

Company rating: 8.4 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

95th of 616 rated colleges and universities

Job description

Provides entry-level systems programming and systems management support in high-performance research computing environment. Responsibilities include working as member of systems team on the administration, integration and maintenance of parallel high performance computing systems, clusters, as well as other systems and peripherals, including advanced filesystems, enterprise storage systems, visualization environments, and networks. Participates in system integration, deployment, and administration projects, system performance analyses, problem resolution, and system security initiatives. Works with senior staff on the development of system management tools and architectural assessments for production systems. Works with senior staff to provide technical assistance and consultation for faculty, researchers, students, and technical staff on the use of the high-performance computing platforms. Works closely with other staff and departmental entities to provide a comprehensive support infrastructure for academic, commercial, and government users, from a broad range of research disciplines.

Knowledge, Skills, and Abilities Required:

  • Fundamental understanding of high-performance computing technology.
  • Ability to execute tasks within specific and well-defined projects.
  • Ability to build and network servers.
  • General understanding of computer systems configurations.
  • Knowledge of high performance computing systems; scalable, parallel architectures; and basic aspects of the UNIX operating system.
  • Ability to contribute to the development of technical design decisions involving software or hardware implementation strategies.
  • Ability to monitor system usage and performance statistics and to understand the impacts of operating system tuning parameters.
  • Experience with one or more high-level programming languages such as C, C++, or Fortran.
  • Good working knowledge of one or more scripting languages such as csh, Bash, Awk, perl, Python, etc.
  • Skill in the installation and configuration of operating systems and application software.
  • Familiarity with network security procedures and protocols.
  • Ability to understand and follow established methods and procedures for the integration, testing, and installation of system modifications.
  • Ability to work both independently and in a team environment.
  • Ability to analyze complex problems, interpret operational needs, and develop integrated, creative solutions.
  • Ability to analyze requirements and determine computational resource impacts.
  • Effective verbal and written communication skills.

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