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Senior Data Analyst Jobs in Rio Rancho, NM (NOW HIRING)

Data Analyst

Los Lunas, NM · On-site

$19.76 - $26.85/hr

Data Analyst Requisition ID req37343 Working Title Data Analyst Position Grade 10 Position Summary The Next Steps: Adult Education department at The University of New Mexico is hiring a Data Analyst ...

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Senior Data Analyst information

See Rio Rancho, NM salary details

$51.7K

$93.3K

$127.5K

How much do senior data analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for senior data analyst in Rio Rancho, NM is $93,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,900.00 and $102,100.00 per year, depending on experience, location, and employer.

What are Senior Data Analysts?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What Does a Senior Data Analyst Do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

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

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

What are some common challenges Senior Data Analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

What are the key skills and qualifications needed to thrive as a Senior Data Analyst, and why are they important?

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

Is 40 too late for data science?

For a senior data analyst role, age is not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on relevant skills such as programming, statistical knowledge, and experience with tools like Python or SQL, regardless of age. Continuous learning and certifications can also enhance prospects in the field.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets to support business decisions, often requiring proficiency in tools like SQL, Python, or R. It offers competitive salaries, opportunities for advancement, and the chance to work in various industries such as finance, healthcare, or technology.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but senior data analysts play a crucial role in interpreting complex data, developing insights, and making strategic decisions. Their expertise in understanding context, storytelling with data, and applying domain knowledge remains essential despite advancements in automation and machine learning. Therefore, AI is more likely to augment rather than fully replace senior data analysts.

What is the highest salary for a senior data analyst?

The highest salary for a senior data analyst can reach up to $120,000 to $150,000 annually, depending on factors such as location, industry, experience, and company size. In some cases, with advanced skills in SQL, Python, or data visualization tools, and certifications, top earners may exceed this range.
More about Senior Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Rio Rancho, NM? The most popular types of Data Analyst jobs in Rio Rancho, NM are:
What cities near Rio Rancho, NM are hiring for Senior Data Analyst jobs? Cities near Rio Rancho, NM with the most Senior Data Analyst job openings:
Infographic showing various Senior Data Analyst job openings in Rio Rancho, NM as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $93,337 per year, or $44.9 per hour.
Data Analyst

$19.76 - $26.85/hr

Part-time

Medical, Dental, Vision, Life

Posted 7 days ago


University Of New Mexico rating

8.5

Company rating: 8.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

81st of 612 rated colleges and universities


Job description

Data Analyst
Requisition ID
req37343
Working Title
Data Analyst
Position Grade
10
Position Summary
The Next Steps: Adult Education department at The University of New Mexico is hiring a Data Analyst to maintain the operational effectiveness, fiscal accountability, and compliance requirements of the center.
Located about 30 miles south of Albuquerque in rural Valencia county, TheUniversity of New Mexico-Valencia Campus is a two-year branch campus of TheUniversity of New Mexico which functions as a community college in the regionand is designated a Hispanic Serving Institution. With an emphasis onteaching excellence, Valencia Campus offers academic transfer programs,technical vocational programs, Adult Basic Education, and Dual Credit HighSchool/College courses to Valencia and Socorro Counties. The faculty andstaff serve a student body of over 2,000 students per semester.
UNM offers a robust benefits package, access to resources, and perks fromdiscounted event tickets to tuition remission. We foster a work-lifebalance through our employee wellness programs, paid parental leave andmore. UNM has earned the platinum-level distinction fromFamilyFriendlyNM.org for its workplace policies.
See the Position Description for additional information.
Conditions of Employment
Minimum Qualifications
High school diploma or GED; at least 5 years of experience directly related to the duties and responsibilities specified.
Completed degree(s) from an accredited institution that are above the minimum education requirement may be substituted for experience on a year for year basis.
Preferred Qualifications
Preferred Qualification:
More than five years directly related experience to Data Analyst duties and roles.
Additional Requirements
Campus
Valencia
Department
Valencia Branch
Employment Type
Staff
Staff Type
Temporary - Part-Time
Term End Date
Status
Non-Exempt
Pay
Hourly: $19.76 - $26.85
Benefits Eligible
This is a benefits eligible position. The University of New Mexico provides a comprehensive package of benefits including medical, dental, vision, and life insurance. In addition, UNM offers educational benefits through the tuition remission and dependent education programs. See the Benefits home page for a more information.
ERB Statement
As a condition of employment, eligible employees working greater than .25 FTE as determined by the New Mexico Education Retirement Act must make mandatory retirement contributions. For more information, review the Benefits Eligibility at a Glance grid.
Background Check Required
No
For Best Consideration Date
7/29/2026
Eligible for Hiring Incentive
Eligible for Remote Work
Yes
Eligible for Remote Work Statement
This position is eligible for hybrid schedule
Application Instructions
Only applications submitted through the official UNMJobs site will be accepted. If you are viewing this job advertisement on a 3rd party site, please visit UNMJobs to submit an application.
Please submit resume/CV.
Positions posted with a Staff Type of Regular or Term are eligible for the Veteran Preference Program. See the Veteran Preference Program webpage for additional details.
The University of New Mexico is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected class.
The University of New Mexico requires all regular staff positions successfully pass a pre-employment background check. This may include, but is not limited to, a criminal history background check, New Mexico Department of Health fingerprint screening, New Mexico Children, Youth, and Families Department fingerprint screening, verification of education credentials, and/or verification of prior employment. For more information about background checks, visit https://policy.unm.edu/university-policies/3000/3280.html. Refer to https://policy.unm.edu/university-policies/3000/3200.html for a definition of Regular Staff.

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