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Data Analyst Jobs in New Mexico (NOW HIRING)

The Data Analyst, Data Analytics will work with customer, marketing, sales, distribution, and third-party data to convert complex data sets into clear, actionable insights through dashboards, reports ...

Data Analyst

Moriarty, NM · On-site

$85K - $110K/yr

Data Analyst Status: Full Time Location: Moriarty, NM Reports To: Chief of Technology Who Are We: Sceye is a high-growth technology company, building the next generation of instant communications ...

$72K - $91K/yr

Sr. Data Analyst, Data Analysis Finance Digital Partner In Cardinal Health's Finance Digital Solutions Organization, we are focused on using technology to improve healthcare. Our commitment to ...

Data Analysis - Interrogate and analyze complex datasets to uncover critical trends, patterns, and insights that support strategic initiatives. * Optimization & Quality Assurance - Validate data ...

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Data Analyst information

See New Mexico salary details

$32.9K

$80.1K

$131.8K

How much do data analyst jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data analyst in New Mexico is $80,084.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $94,000.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

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

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

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

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

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

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

Infographic showing various Data Analyst 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 $80,084 per year, or $38.5 per hour.

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Cardinal Health rating

7.8

Company rating: 7.8 out of 10

Based on 339 frontline employees who took The Breakroom Quiz

128th of 893 rated healthcare providers


Job description

Medical Segment Sales Analytics delivers customer, sales, revenue, gross profit, pricing, and operational insights that enable informed strategy and execution. The Data Analyst, Data Analytics will work with customer, marketing, sales, distribution, and third-party data to convert complex data sets into clear, actionable insights through dashboards, reports, analyses, spreadsheets, and executive-ready presentations.

We are seeking a highly analytical, business-oriented professional who is skilled in data extraction, transformation, validation, visualization, and storytelling. The ideal candidate will combine strong technical capabilities with sound business judgment, intellectual curiosity, and the ability to translate ambiguous business questions into meaningful analytical deliverables.

Role Overview and Key Accountabilities

The Data & Analytics function oversees the analytics lifecycle to identify, analyze, and communicate relevant insights that support business decisions, improve execution, and anticipate opportunities for competitive advantage. This role will contribute to the design, development, and delivery of business intelligence and analytics solutions, while helping ensure data accuracy, consistency, usability, and adoption across stakeholder groups.

Responsibilities
  • Bachelor's degree in a related field or equivalent work experience.
  • 5+ years of experience in data analytics, business intelligence, reporting, or related analytics function preferred.
  • Strong experience working with large, complex data sets and multiple data sources, including customer, sales, distribution, operational, and third-party data.
  • Hands-on experience with Google BigQuery, Databricks, relational databases, and SQL-based analysis; Oracle and SQL Server experience preferred.
  • Advanced experience developing dashboards, reports, and visualizations using tools such as Tableau and Looker, with strong understanding of visual design principles and effective information presentation.
  • Experience using data exploration, preparation, and mining tools such as Alteryx.
  • Ability to define analytical plans, develop hypotheses, analyze performance trends, and translate findings into practical business recommendations.
  • Demonstrated ability to convert ambiguous or evolving business requests into clear requirements, analytical approaches, and concrete deliverables.
  • Experience supporting business-critical applications, identifying issues, troubleshooting root causes, and partnering with technical teams to resolve data or reporting defects.
  • Experience with modernizing, migrating, or supporting legacy reporting and data environments into cloud-based analytical solutions.
  • Strong communication, presentation, and storytelling skills, with the ability to explain complex analysis clearly to both technical and non-technical audiences.
  • Ability to work effectively in a fast-paced, changing environment while managing priorities, deadlines, and stakeholder expectations.
Qualifications
  • Experience with Celonis or other process mining solutions.
  • Experience working in Agile delivery environments.
  • Understanding of data warehousing concepts, ETL/ELT processes, stored procedures, data ingestion patterns, and dimensional modeling.
  • Experience working with SAP or other enterprise source systems.
  • Working knowledge of Python and/or R for data analysis, automation, or statistical modeling.
  • Understanding project management lifecycle concepts and cross-functional delivery practices.
  • Exposure to AI-enabled analytics, prompt engineering, and emerging agentic AI frameworks to improve productivity and analytical outcomes.
What Is Expected at This Level
  • Applies comprehensive knowledge of data analytics concepts, business processes, technical capabilities, and reporting practices to complete varied assignments and projects.
  • Works independently on complex assignments of moderate to large scope, receiving general guidance on new or highly complex work.
  • Develops practical, scalable, and well-documented analytical solutions that align with business objectives and organizational standards.
  • Partners with business stakeholders understand objectives, clarify requirements, and translate business needs into analytical and technical solutions.
  • Communicates insights, risks, assumptions, and recommendations clearly through dashboards, written summaries, and presentations.
  • Collaborates effectively with cross-functional teams, including business partners, technology teams, offshore resources, and peer analytics teams.
  • Contributes to process improvements, standards, documentation, and reusable analytical approaches that improve quality and efficiency.
  • Ensures work is reviewed against business objectives, quality expectations, data accuracy, and timely delivery.
  • May provide guidance or mentorship to less experienced colleagues and help promote analytics best practices across the team.

Anticipated salary range:$80,900 - $115,500

Bonus eligible:No

Benefits:Cardinal Health offers a wide variety of benefits and programs to support health and well-being.

  • Medical, dental and vision coverage

  • Paid time off plan

  • Health savings account (HSA)

  • 401k savings plan

  • Access to wages before pay day with myFlexPay

  • Flexible spending accounts (FSAs)

  • Short- and long-term disability coverage

  • Work-Life resources

  • Paid parental leave

  • Healthy lifestyle programs

Application window anticipated to close:8/24/2026 *if interested in opportunity, please submit application as soon as possible.

The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity.

Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.

Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.

To read and review this privacy notice click here


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About Cardinal Health

Sourced by ZipRecruiter

Cardinal Health Innovative Delivery Solutions With over 45 years of experience in helping hundreds of hospital and outpatient pharmacies, we provide access to best practice strategies and tactics to control costs, improve workflow and enhance safety. Cardinal Health Innovative Delivery Solutions is one of the largest employers of acute-care pharmacist in the United States. Cardinal Health is the employer of choice for pharmacists because we offer a variety of career opportunities in pharmacy leadership, clinical specialties, remote order entry, business management, medication therapy management and more.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Dublin, OH, US

Year founded

1971

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