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

Sr. GRC Analyst About Subsplash Subsplash is an exciting award-winning team of 280+ mission-driven ... Data Mapping Maintenance: Develop and maintain a comprehensive data inventory and data flow ...

Perform configurations, data loads (EIBs), and system validations Data Integrity and Reporting ... Proven experience as a Sr. Business Analyst in implementing and managing Workday's Hands-on ...

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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 Jun 25, 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.

Are you a senior at 55?

Age does not determine whether someone can be a senior data analyst; experience, skills, and qualifications are the primary factors. Many professionals continue to work in data analysis roles well into their 50s and beyond, often bringing valuable industry knowledge. Employers typically focus on relevant expertise, certifications, and ability to perform the job rather than age.

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 should a 70 year old be doing every day at home?

A senior data analyst at 70 can engage in daily activities that promote mental and physical well-being, such as reading, light exercise, and hobbies. Staying socially connected and maintaining a routine can support overall health and cognitive function, which are important for continued productivity and engagement at any age.

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.

How often should a 75 year old woman take a shower?

A senior data analyst role does not influence personal hygiene routines; generally, a 75-year-old woman should shower as needed for cleanliness, typically every 1-3 days, depending on personal health, activity level, and skin condition. Regular bathing helps maintain hygiene and skin health, but frequency can vary based on individual preferences and medical advice.

In what grade is senior?

The term 'senior' in the job title Senior Data Analyst typically indicates a higher level of experience and responsibility within the role, often requiring several years of relevant work experience and advanced skills in data analysis tools like SQL, Python, or R. It does not correspond to a specific grade or educational level but reflects a seniority level in the professional hierarchy.
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 job categories do people searching Senior Data Analyst jobs in Rio Rancho, NM look for? The top searched job categories for Senior 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 June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $93,337 per year, or $44.9 per hour.
Sr. Operations Research Analyst

Sr. Operations Research Analyst

Abacus Technology

Kirtland Air Force Base, NM

$95K - $112K/yr

Other

Posted 8 days ago


Job description

Overview

Abacus Technology is seeking an Operations Research Analyst to provide support for the Technical Advisory and Assistance Services (TAAS) program at Kirtland AFB.  This is a full-time position.

Responsibilities
  • Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.
  • Perform validation and testing of models to ensure adequacy and reformulate models as necessary.
  • Collaborate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives.
  • Present the results of mathematical modeling and data analysis to management or other end users.
  • Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.
  • Identify and track WS's, including constituent systems, risks, issues, and opportunities.
  • Implement Operations Research (OR) techniques for consistent, predictive analysis of data to identify WS risks, issues, and opportunities.
  • Utilize and/or tailor identified risks for implementation into the WS Worthiness Assessment (WWA) process.
  • Aggregate and document the results of RIO analysis for presentation to AFNWC/NC leadership for situational awareness and to support decision-making.
  • Support WS lead Command, and program offices as directed.
Qualifications

10+ years experience in operations research, systems analysis, or management sciences.  Bachelor's degree in Operations Research, Math, Science, Engineering, or a related field requiring significant mathematics and/or statistics.  Capable of working with the technical or engineering teams to ensure proper support.  Able to formulate and apply mathematical modeling and other optimizing methods to develop and interpret information that assists management with decision making, policy formulation, or other managerial functions.  Experience collecting and analyzing data and develop decision support software, services, or products.   Must be detail oriented and have excellent problem-solving and analytical abilities.  Must have strong communications skills and the ability to work professionally with all levels of an organization.  Must be a US citizen and hold an active Top Secret clearance with SCI Access (TS/SCI).

Applicants selected will be subject to a U.S. government security investigation and must meet eligibility requirements for access to classified information.

EOE/M/F/Vet/Disabled

Employment Type: OTHER