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Data Analytics Trainee Jobs in New Mexico (NOW HIRING)

The Management Trainee will work closely with experienced managers to learn about Outside Sales ... Analyze sales data and assist in making informed business decisions. * Collaborate with key leaders ...

The Management Trainee will work closely with experienced managers to learn about Outside Sales ... Analyze sales data and assist in making informed business decisions. * Collaborate with key leaders ...

HS Research Assistant

Albuquerque, NM · On-site

$18.75 - $25.75/hr

Support trainees/students (undergrad, PhD, MD students and post-doc) in ongoing research projects ... Perform preliminary data experiments, assist in the routine data analysis. * Set up, operate ...

HS Research Assistant

Albuquerque, NM · On-site

$18.75 - $25.75/hr

Support trainees/students (undergrad, PhD, MD students and post-doc) in ongoing research projects ... Perform preliminary data experiments, assist in the routine data analysis. * Set up, operate ...

HS Research Assistant

Albuquerque, NM · On-site

$18.75 - $25.75/hr

Support trainees/students (undergrad, PhD, MD students and post-doc) in ongoing research projects ... Perform preliminary data experiments, assist in the routine data analysis. * Set up, operate ...

PHARMACY TECH TRAINEE

Albuquerque, NM · On-site

$17 - $20.50/hr

DATA - Enter various data into computer and forms, verify data, make corrections and ensure ... REPORTS - May assist with preparation and maintenance of a variety of reports; analyze and ...

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Data Analytics Trainee information

See New Mexico salary details

$32K

$79K

$135.7K

How much do data analytics trainee jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data analytics trainee in New Mexico is $78,997.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,700.00 and $93,500.00 per year, depending on experience, location, and employer.

What does a data analytics trainee do?

A Data Analytics Trainee is an entry-level professional who learns to collect, process, and analyze data to help organizations make informed decisions. Their responsibilities typically include cleaning and organizing data, using statistical tools to identify trends, and creating basic reports or visualizations. They often work under the supervision of experienced analysts, gaining practical experience with data analytics tools and techniques. This role is designed to provide foundational skills and knowledge needed for a career in data analytics.

What are the key skills and qualifications needed to thrive as a data analytics trainee?

To thrive as a Data Analytics Trainee, you need foundational knowledge of statistics, data analysis, and basic programming skills—often supported by a relevant degree or coursework in data science, mathematics, or computer science. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is highly valued, and introductory certifications in analytics can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret and present data insights clearly. These skills are critical for turning raw data into actionable information, supporting decision-making, and building a successful analytics career.

What types of projects can a data analytics trainee expect to work on during their training period?

As a Data Analytics Trainee, you can expect to work on a variety of projects that involve collecting, cleaning, and analyzing datasets to uncover insights that support business decisions. Common tasks include preparing data for analysis, building dashboards for stakeholders, and assisting with the creation of reports or presentations. You may also collaborate with team members on real-world case studies, learning to use popular analytics tools such as Excel, SQL, or Python. These projects are designed to build your technical skills while giving you exposure to practical business challenges.

Can I get into data analytics with no experience?

Data analytics trainee roles often do not require prior experience, as they focus on training and skill development. Entry-level candidates typically learn tools like Excel, SQL, and basic data visualization during the onboarding process. Building foundational skills through online courses or certifications can improve your chances of entering the field without experience.

How can I start a career in data analytics?

To start a career as a data analytics trainee, develop skills in statistics, data manipulation, and visualization using tools like Excel, SQL, and Python or R. Obtain relevant certifications, such as Google Data Analytics or Microsoft Certified Data Analyst, and gain practical experience through internships or projects to build a strong foundation in data analysis.

What are the most commonly searched types of Data Analytics jobs in New Mexico?

The most popular types of Data Analytics jobs in New Mexico are:

What are popular job titles related to Data Analytics Trainee jobs in New Mexico?

For Data Analytics Trainee jobs in New Mexico, the most frequently searched job titles are:

What cities in New Mexico are hiring for Data Analytics Trainee jobs?

Cities in New Mexico with the most Data Analytics Trainee job openings:

Infographic showing various Data Analytics Trainee job openings in New Mexico as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $78,997 per year, or $38 per hour.

Quality Control Data Analyst Trainee

Santa Fe County

Santa Fe, NM • On-site

$45K - $52K/yr

Full-time

Posted 18 days ago


Job description

Primary Purpose Under the general supervision of the Quality Control Manager or designee, this position assists with analyzing and auditing data and information that is being entered and/or changed in the Assessor's Office databases to ensure an error-free environment. Essential Job Functions Adheres to NM State statutes and IAAO Industry best practices in all tasks. Ensures all incoming correspondences are logged into a computer program so that all issues can be compiled, calculated and thoroughly tracked.

Assists with assigning correspondence to the proper division requiring timely feedback to be posted to the log. Assists with and learns how to audit the computer system data and the supporting documents to determine whether a process is working or if a correction will eliminate the problem; ensures corrective actions have been addressed in a timely manner. Maintains records effectively and provides feedback to Assessor's Office personnel to correct any anomalies that could create problems.

Assists with maintaining and revising agency policy and procedures. Collaborates with other departmental staff to assist with quality control measures. Retains historical information to identify obvious errors and anomalies.

Assists with preparing reports for supervisors, supporting their use as management tools to monitor and improve efficiency in the assessment process. Assists with annual audit process as requested. Assists other staff within the office to ensure quality customer service.

Attends meetings, seminars, workshops, and training as requested; assists the Quality Control Manager with projects as needed. May assist with maintaining and revising agency policy and procedures. Must complete all training as designated or assigned.

Performs other duties as directed or assigned. Knowledge/ Skills: Knowledge of computers and electronic data processing and working knowledge of modern office practices and procedures. Skill in learning how to operate various word-processing, spreadsheets, database and other software programs in a Windows environment including Proval, Ascend, AS400, and Pictometry.

Ability to work in a dynamic environment with changing priorities and critical deadlines; to independently plan, prioritize and organize work; to multi-task and work with minimal supervision. Ability to be extremely organized; to focus on detail; to ensure no mistakes in calculations by self and co-workers; and to handle confidential material in a trustworthy manner. Ability to learn how to present information clearly and concisely, both verbally and in writing; and to establish effective and tactful working relationships with associates and the public.

Ability to learn how to analyze data and produce reports. Minimum Qualifications High school diploma or GED. Two (2) years of experience in professional work environment providing administrative office support.

Education may substitute for experience on a year for year basis. Must be able to successfully complete I.A.A.O. course 101 within the one-year probationary period

Failure to do so may result intermination of employment. Supplemental Information Working Conditions Work is performed in both an office setting and outdoors in varied weather conditions, with exposure to dust, fumes, airborne particles, and allergens. Occasional travel and overtime work may be required.

May be required to travel. While performing the duties of this job, the employee regularly is required to stand, walk, and sit, reach with hands or arms, climb or balance; stoop, kneel, crouch, or crawl; and talk or hear. Clarity of vision at long and short distance is required.

The employee is occasionally required to lift up to 20 pounds. Conditions of Employment: Selected candidate must submit to and pass a County paid pre-employment physical and drug/alcohol screening. Additionally, selected candidate must submit to and pass a county paid criminal background screening.

Selected candidate must possess and maintain a valid New Mexico Class D Driver's License as incumbent shall be appointed to drive a County vehicle during the performance of his/her duties. Shall be required to sign a "Confidentiality and Non-Disclosure" agreement upon employment. Santa Fe County is an Equal Opportunity Employer It is the policy of Santa Fe County to ensure equal employment opportunity to all persons regardless of race, color, age, physical or mental handicap, sex, national origin, ancestry, religion, serious medical condition, sexual orientation, gender identity, genetic information, or political affiliation.