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Data Analytics Jobs in Farmington, NM (NOW HIRING)

ViaPath

Intelligence Analyst

Farmington, NM · On-site

$65 - $90/hr

Analyze data to establish trends within the facility and potential areas of interest * Assist facility with their investigations by utilizing specialized software provided for data mining and link ...

Bureau of Reclamation

CIVIL ENGINEER

Farmington, NM · On-site +1

$99K - $127K/yr

Performs engineering analyses to include performing and coordinating technical planning activities; data collection (including validation and management); modeling and data analyses; analyses of site ...

Prattwhitney

Factory Quality Engineer

Farmington, NM · On-site

$70 - $95/hr

Data analysis skills and development and usage of actionable metrics. Equal Opportunity Employer RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for ...

Raytheon

Sr. Production Test Engineer

Farmington, NM

Experience with data analysis or Root Cause Corrective Action (RCCA) Qualifications We Prefer: * Experience with advanced electronics/electrical engineering, basic mechanical engineering or basic ...

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All JobsData Analytics JobsData Analytics Jobs in Farmington, NM

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How much do data analytics jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data analytics in Farmington, NM is $47.81, according to ZipRecruiter salary data. Most workers in this role earn between $38.41 and $54.18 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Farmington, NM?

The most popular types of Data Analytics jobs in Farmington, NM are:

What cities near Farmington, NM are hiring for Data Analytics jobs?

Cities near Farmington, NM with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Farmington, NM as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $99,442 per year, or $47.8 per hour.

Data Scientist II

San Juan Regional Medical Center

Farmington, NM • On-site

Full-time

Posted 2 days ago

New

San Juan Regional Medical Center rating

6.4

Company rating: 6.4 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

749th of 1,065 rated hospitals

Job description

Creating Life Better Here starts with you. At San Juan Regional Medical Center, we're more than a healthcare provider-we're a values-driven organization dedicated to delivering exceptional care. As a team member, you help fulfill our mission to make life better here for our community.Under the direct supervision of the Manager of Quality Systems the Data Scientist II will be responsible for the day-to-day supervision of the Quality Team and applying analytical techniques to high volume, high-dimensionality data from varying sources. Must be able to utilize healthcare data to identify progress, performance, and opportunities for improvement in quality, infection control, finance, and other metrics. The Data Scientist II will help the organization translate the data results of reimbursement programs like value-based purchasing, pay-for-performance or insurance incentives into meaningful information and facilitate maximum reimbursement. This position will align quality data with the organization's strategic plan and centralize the consistent roll out of data and information throughout the organization. The Data Scientist II will present data and educate all levels in key quality committees including Quality Council, Medical Staff Quality and Performance Improvement Committee, QAPI, and others. This role defends quality data integrity, provides data governance, and serves as a subject matter expert. The position uses advanced data and performance improvement skills in LEAN/Six Sigma to lead, coach and guide the organization and Quality Department (data and performance improvement teams). The Data Scientist II provides critical decision-support, evidence-based knowledge and technical guidance related to quality, patient safety, financial stability, and community health.

Required Behaviors:

  • As you go about fulfilling this mission, your work habits and work relationships should embody SJRMC's values.These values are our culture, our identity as an organization. Sacred Trust, Personal Reverence, ThoughtfulAnticipation, Team Accountability and Creative Vitality
  • ask more of us than merely completing some list of tasks. Ourvalues ask for a deeper level of commitment, and what is asked of us we freely give because we believe in ourmission

Required Qualifications:

  • Degree in Business, information technology, statistics, or healthcare related field
  • Experience, creating informational threads throughout quality meetings and committees
  • Deep knowledge in utilizing data to identify organizational progress, performance, and opportunities for improvement
  • Strong ability to use analytic findings and transform data into meaningful information
  • Basic understanding of healthcare reimbursement programs like value-based purchasing and Merit Based IncentivePayments Systems (MIPS).
  • Extensive experience in LEAN/Six Sigma performance improvement tools, achieving Black Belt within three (3) years of hire.
  • Able to work independently, managing multiple high-priority, time sensitive projects

Preferred Qualifications:

  • Experience in translating data results of reimbursement programs like value-based purchasing, pay-for-performance,or insurance incentives into meaningful information and facilitate maximum reimbursement.
  • Experience in Cerner build or report writing

Duties and Responsibilities:

  • Each employee is responsible for implementing SJRMC's Service Standards into their daily work:
    Safety, Courtesy, Effectiveness, and Stewardship
  • Supports the day-to-day operations of the Quality Team and applies analytical techniques to high volume, highdimensionality data from varying sources.
  • Acts as point person for meeting the data reporting needs of San Juan Health Partners including identification of newregulatory requirements, metric validation, submission of current metrics and reporting of metric compliance.
  • Acts as administrator of external benchmarking tool including data integrity, data uploads, report generation,interpretation of data, and physician scorecard development.
  • Acts as administrator of organization Leapfrog data including data integrity, submission, report development,interpretation, and presentation of data analysis to organizational stakeholders.
  • Acts as the key contact and coordinator for development of Quality Cerner Computer Language (CCL) reports.
  • Utilize data from various internal and external sources to identify organizational opportunities for improvement.
  • Utilizes performance excellence methodologies such as LEAM/Six Sigma to lead teams and implementimprovements.
  • Represents his or her work in presentations to all levels in key quality committees including Quality Council, Medical
    Staff Quality and Performance Improvement Committees, Quality Assurance Performance Improvement (QAPI), andothers.
  • Other duties as assigned

Physical Demands and Environmental Work Conditions:

  • Primarily office environment with daily inclusion in operational environments.
  • Prolonged sitting, standing and/or walking
  • Frequent interruptions
  • Moderate noise level
  • Interpret an extensive variety of technical documents in mathematical, narrative or diagram form.
  • Define problems, collect data, establish facts, draw valid conclusions, and translate data into information.
  • Balance fast pace and competing priorities.

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