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Data Analysis Manager Jobs in New Mexico (NOW HIRING)

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 ...

New

Data Validation: Ensure data accuracy, completeness, and consistency through validation ... Ad Hoc Analysis: Assist senior management with in-depth ad hoc analysis to support strategic ...

Data Analyst Specialist

Santa Fe, NM · On-site

$57K - $66K/yr

... Management or Statistics, or a related field from an accredited educational institution and two (2) years of work experience involving data collection, interpretation and/or analysis, statistical ...

Sr. Data Analyst, Online Investigations

House, NM · On-site

$77K - $97K/yr

... data support and analysis required across functional areas such as Operations, Merchandising ... Direct Manager/Direct Reports: * This Position typically reports to Manager/Sr Manager Corporate ...

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Data Analysis Manager information

See New Mexico salary details

$21.8K

$85.9K

$139.5K

How much do data analysis manager jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data analysis manager in New Mexico is $85,922.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $105,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data analysis manager?

To thrive as a Data Analysis Manager, you need advanced analytical skills, a strong background in statistics or data science, and relevant experience often backed by a degree in mathematics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and business intelligence platforms, along with proficiency in data visualization software like Tableau or Power BI, is typically required. Leadership, effective communication, and problem-solving abilities are crucial soft skills for managing teams and translating complex data insights into actionable business strategies. These skills and qualities are essential for driving data-informed decision-making and ensuring the success of analytics initiatives within an organization.

How does a data analysis manager typically collaborate with other departments within an organization?

A Data Analysis Manager regularly partners with teams such as marketing, finance, operations, and IT to identify data needs and translate business questions into actionable analysis. They facilitate communication between data analysts and stakeholders, ensuring that data insights are aligned with organizational goals. By leading cross-functional meetings and presenting findings to non-technical audiences, they help drive data-informed decision-making across the company. This collaborative approach not only enhances the impact of analytics but also fosters a culture of data literacy throughout the organization.

What does a data analysis manager do?

A Data Analysis Manager oversees teams that collect, process, and interpret data to help organizations make informed business decisions. They are responsible for managing data projects, ensuring data quality, and translating complex data findings into actionable insights for stakeholders. Additionally, they often coordinate with other departments, set analytical strategies, and mentor data analysts. Their role is crucial for driving data-driven decision-making in a company.

What is the difference between Data Analysis Manager vs Data Analyst?

AspectData Analysis ManagerData Analyst
ResponsibilitiesOversees data analysis projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to support business decisions
Required SkillsLeadership, project management, advanced analyticsStatistical analysis, data visualization, technical skills
QualificationsBachelor's or master's in data science, statistics, or related field; experience in managementBachelor's in data science, statistics, or related field; technical proficiency
Work EnvironmentTypically in corporate offices, leading teamsOften in office or remote, focused on individual analysis tasks

The main difference between a Data Analysis Manager and a Data Analyst lies in scope and responsibilities. The manager oversees teams and strategic projects, while the analyst focuses on executing data analysis tasks. Both roles require strong analytical skills and relevant qualifications, but the manager's role emphasizes leadership and project management.

What are the most commonly searched types of Data Analysis jobs in New Mexico? The most popular types of Data Analysis jobs in New Mexico are:
What are popular job titles related to Data Analysis Manager jobs in New Mexico? For Data Analysis Manager jobs in New Mexico, the most frequently searched job titles are:
Infographic showing various Data Analysis Manager job openings in New Mexico as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 15% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $85,922 per year, or $41.3 per hour.

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Cardinal Health rating

7.8

Company rating: 7.8 out of 10

Based on 337 frontline employees who took The Breakroom Quiz

132nd 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.

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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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