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Associate Data Science Analyst Jobs in New Mexico

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Showing results 21-40

Associate Data Science Analyst information

What is the difference between Associate Data Science Analyst vs Data Analyst?

AspectAssociate Data Science AnalystData Analyst
Required CredentialsBachelor's degree in data-related field; some roles prefer certifications in data analysis or programmingBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL are common
Work EnvironmentCollaborates with data scientists and engineers; involved in data modeling and analysis tasksFocuses on data collection, cleaning, and reporting; often works with business teams
Employer & Industry UsageUsed in tech, finance, healthcare industries; entry-level role in data teamsWidely used across industries for business insights and reporting

The Associate Data Science Analyst and Data Analyst roles share similarities in educational background and industry usage. However, the Associate Data Science Analyst typically involves more technical tasks like data modeling and working closely with data science teams, whereas Data Analysts focus more on data reporting and business insights. Both roles serve as entry points into data careers but differ in technical depth and collaboration scope.

What types of projects and datasets do associate data science analysts typically work with, and how do they contribute to larger team goals?

Associate Data Science Analysts often work on projects involving data cleaning, exploratory analysis, and basic model development using real-world datasets such as sales figures, customer behavior logs, or operational metrics. Their primary responsibility is to prepare, analyze, and visualize data to uncover insights that support business decisions. They collaborate closely with more senior data scientists, business analysts, and stakeholders to ensure that their analyses align with organizational objectives. This role provides valuable exposure to the end-to-end data science workflow and lays the foundation for advancement into more specialized or senior data science positions.

What are the key skills and qualifications needed to thrive as an associate data science analyst, and why are they important?

To thrive as an Associate Data Science Analyst, you need a solid grounding in statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and potentially foundational certifications in data analytics are commonly required. Strong problem-solving, critical thinking, and effective communication skills help analysts interpret data insights and convey findings to stakeholders. These competencies are crucial for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

What does an associate data science analyst do?

An Associate Data Science Analyst is an entry-level professional who assists in collecting, analyzing, and interpreting data to help organizations make data-driven decisions. They work closely with senior data scientists and analysts, using statistical tools and programming languages like Python or R to process data, create reports, and visualize results. Their responsibilities often include cleaning and organizing data sets, performing exploratory data analysis, and supporting the development of predictive models. This role is a great way to gain hands-on experience in data science while building foundational skills for more advanced positions.

What cities in New Mexico are hiring for Associate Data Science Analyst jobs?

Cities in New Mexico with the most Associate Data Science Analyst job openings:

Visiting Lecturer Data Scientist - CULLS

University of New Mexico

Albuquerque, NM • On-site

Full-time

Re-posted 4 days ago


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Job description

The University of New Mexico College of University Libraries & Learning Sciences (ULLS) has an opening for a Visiting Lecturer Data Scientist. This position is a full-time, 12-month faculty appointment that can be renewed annually for up to a maximum of three years. This position has a rank of Visiting Lecturer, with a minimum salary of 70,000, negotiable based on experience and qualifications. This position reports to the University Libraries' Director of Learning, Research, and Engagement. Prioritizing a diverse, equitable, and inclusive organization, the College strongly encourages interested candidates who are members of minoritized or marginalized groups to inquire or apply. Early career candidates are encouraged to apply. The desired start date is September 1, 2026.

As a member of the Learning, Research, and Engagement (LRE) unit's highly collaborative Graduate and Faculty Engagement team, the Visiting Lecturer Data Scientist provides coordinated, full-lifecycle research data support to student, staff, and faculty researchers across all main-campus disciplines at UNM. These support services include consultation and instruction in leading practices in data acquisition, processing, analysis, visualization, and documentation. This position also provides critical support for researchers in data management planning and facilitating compliance with funding mandates. The Visiting Lecturer will develop and maintain productive relationships within the College, across the University, and within the global research data community and will collaborate with campus stakeholders including the Office of the Vice President for Research, the Center for Advanced Research Computing, and the UNM Health Sciences Library and Informatics Center. The Visiting Lecturer will receive training to become a badged Carpentries instructor through the College's Carpentries membership and will promote open science through the development of sustainable educational programs, including coordination and delivery of Software, Data, and Library Carpentry workshops.

The successful candidate will engage the broader campus community with empathy, curiosity, and a strong service orientation. Through frequent collaboration with colleagues in the College and across campus, the Visiting Lecturer will have the opportunity to grow and develop as a data science professional through participation in a diverse community of researchers within the University and throughout New Mexico. Candidates do not need to meet every preferred qualification listed; individuals that meet the minimum qualification and have a strong interest in developing further in data science are encouraged to apply.

Primary Duties

  • Lead initiatives to support transparent, rigorous research practices across disciplines at UNM
  • Provide consultations and workshops on lifecycle data management, analysis, visualization, and ethical data practices.
  • Contribute to ULLS' data science initiatives, including coordination of and participation in Software, Data, and Library Carpentry workshops.
  • Stay informed of evolving policies, technologies, and best practices in data management and open scholarship.
  • Build strategic partnerships within the University and beyond to foster interdisciplinary research and innovation.
  • Participate as an active member of the LRE Graduate and Faculty Engagement
  • Support the collaborative development and implementation of Graduate and Faculty Engagement programs, including reference consultations and library instruction.

The Environment:

Founded in 1889, the University of New Mexico sits on the traditional homelands of the Pueblo of Sandia. The original peoples of New Mexico - Pueblo, Navajo, and Apache - since time immemorial, have deep connections to the land and have made significant contributions to the broader community statewide. We honor the land itself and those who remain stewards of this land throughout the generations and acknowledge our committed relationship to Indigenous peoples. We gratefully recognize our history.

An R1 Research Institution, a Hispanic-serving institution, and the flagship university in a majority-minority state, UNM enrolls nearly 24,000 students and offers 215 degree and certificate programs, including 94 baccalaureates, 71 masters, and 37 doctoral degrees through 14 Colleges and Schools. UNM's campus occupies nearly 800 acres near old Route 66 in the heart of Albuquerque, a metropolitan area of more than 900,000 people. From the magnificent mesas to the west, past the banks of the historic Rio Grande, to the Sandia Mountains to the east, Albuquerque is a blend of culture, cuisine, styles, stories, people, pursuits, and panoramas.

UNM's University Libraries (UL) is housed within the College of University Libraries & Learning Sciences, along with the academic Organization, Information and Learning Sciences Program and the UNM Press. The UL is a member of the Association of Research Libraries, the Greater Western Library Alliance, the New Mexico Consortium of Academic Libraries, Seminar on the Acquisition of Latin American Library Materials, as well as the Data Curation Network and The Carpentries.

The UL includes the Centennial Science and Engineering Library, the Fine Arts & Design Library, and Zimmerman Library. Zimmerman Library also houses the Center for Southwest Research and Special Collections, the Indigenous Nations Library Program, the Adobe Creative Commons, and is a Regional Federal Depository Library. Our collections include over three million volumes, UNM's digital repository, LoboGit, and several online digital archival collections. 

The UL's mission is to support our communities by providing expertise, instruction, services, spaces, and collections that advance scholarship, teaching, and intellectual discovery.

To learn more about our city and our University, visit http://advance.unm.edu/why-abq/ and https://advance.unm.edu/why-unm/


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