1

Data Engineer Data Analyst Jobs in New Mexico (NOW HIRING)

The Data Analyst, Data Analytics will work with customer, marketing, sales, distribution, and third ... Exposure to AI-enabled analytics, prompt engineering, and emerging agentic AI frameworks to improve ...

Sr Data Analytics Engineer

Apodaca, NM

$113K - $136K/yr

Senior Data Analytics Engineer Are you looking for an opportunity to combine data engineering and analytics in a role that drives real business impact? Would you like to join a global organization ...

Data Engineer

Albuquerque, NM · On-site

$111K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Alamogordo, NM · On-site

$93K - $112K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Santa Fe, NM · On-site

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Las Cruces, NM · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Roswell, NM · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Sr. Data Analyst, Online Investigations

House, NM · On-site

$77K - $97K/yr

The Senior Data Analyst will be responsible for ad-hoc data request support, and developing and maintaining analytics tools to support Corporate Security, primarily working with the Investigations ...

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

next page

Showing results 1-20

Data Engineer Data Analyst information

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What cities in New Mexico are hiring for Data Engineer Data Analyst jobs? Cities in New Mexico with the most Data Engineer Data Analyst job openings:
Infographic showing various Data Engineer Data Analyst job openings in New Mexico as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 82% In-person, 7% Hybrid, and 11% Remote job distribution.

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Cardinal Health rating

7.8

Company rating: 7.8 out of 10

Based on 338 frontline employees who took The Breakroom Quiz

130th of 887 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


What Cardinal Health employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Cardinal Health logo

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

Social media