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

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 Rio Rancho, NM salary details

$32.2K

$78.2K

$128.7K

How much do data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data analyst in Rio Rancho, NM is $78,201.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,100.00 and $91,800.00 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 Rio Rancho, NM?

The most popular types of Data Analyst jobs in Rio Rancho, NM are:

What are popular job titles related to Data Analyst jobs in Rio Rancho, NM?

For Data Analyst jobs in Rio Rancho, NM, the most frequently searched job titles are:

What job categories do people searching Data Analyst jobs in Rio Rancho, NM look for?

The top searched job categories for Data Analyst jobs in Rio Rancho, NM are:

What cities near Rio Rancho, NM are hiring for Data Analyst jobs?

Cities near Rio Rancho, NM with the most Data Analyst job openings:

Infographic showing various Data Analyst job openings in Rio Rancho, NM as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $78,201 per year, or $37.6 per hour.

Program Data Analyst II

City of Albuquerque

Albuquerque, NM • On-site

$68K - $72K/yr

Full-time

Posted 20 days ago


City Of Albuquerque rating

7.6

Company rating: 7.6 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

514th of 846 rated public administrative organizations


Job description

Position Summary Research, compile, analyze and evaluate data and prepare reports for an assigned area using automated systems and tools; apply critical thinking techniques to plan, assess and execute statistical methods for problem solving using program specific data and analysis; evaluate and study specified problems. Job descriptions are intended to present a general list of tasks/duties performed by employees within this job classification. Job Descriptions are not intended to reflect all duties performed within the job.

Essential and Supplemental Functions ESSENTIAL FUNCTIONS: Essentialfunctions may include, but are not limited to the functions listed below. Mustbe able to perform the essential functions of the job with or without areasonable accommodation. Develop practical procedures necessary for the collection, scanning, filing, and management of program data and/or project information; analyze the validity of program data and ensure the accuracy and completeness of the data and /or project information maintained in the program's automated systems.

Apply quality assurance techniques to systems that are configured to capture, store, and transmit data; Establish, maintain, and update quality assurance techniques for vetting data and information. Quality assure work products and results to certify data integrity and validity. May develop, recommend, and implement a variety of long- and short-range plans, programs, filing systems and special projects aimed at the improvement of activities within assigned area.

Apply analytical techniques for the systematic extraction of information from large data sets. Establish and test hypotheses to draw conclusions from programmatic data. Prepare and submit reports or statistical summaries on assigned area of data or information analysis.

Compute and generate detailed statistical reports for management and staff review and to meet governmental reporting requirements. Respond to information requests from management and various information users; provide end users with a wide variety of reports and data to enhance their ability to respond effectively to their needs; and provide accurate and relevant information in a timely and professional manner. Communicate information to management for effective evaluation of program operations.

Prepare and submit reports, maps, and statistical summaries on financial, operation, and data analysis topics. Maintain data files in basic automated tools designed for end-user use, assuring that the information input to the system is as accurate as possible; extract and analyze data for assigned projects; generate detailed and statistical reports using end-user tools for management and staff review and to meet governmental reporting requirements. Perform basic technical tasks in support of the maintenance and use of the area's automated systems.

Create basic systems to track and report program/project data. Act as a liaison between assigned area staff and the Information Systems Division for technical services and problem resolution. Receive and analyze requests for desktop computer services for assigned area and coordinate with staff members to fulfill installation or set up requests.

Participate and assist in the development and implementation of automation projects. Assist with administrative support and customer service as needed. Assist in the implementation of goals and objectives; implement approved policies and procedures.

Attend meetings, prepare correspondence, memoranda, documentation and presentation materials for meetings; disseminate information to City staff. Analyze division and business operations including review of administrative and operational policies and procedures. Analyze management systems to determine efficiency and effectiveness of current data filing, storage, analysis and retrieval.

Develop, recommend, and implement a variety of long- and short-range plans, programs, filing systems and special projects aimed at the improvement of activities within assigned area. Plan and provide training for end users on existing automated application systems in assigned area. May select, train, motivate and evaluate division personnel; provide or coordinate staff training; work with employees to correct deficiencies.

Test and evaluate operations of hardware equipment and functions. Ensure data record retention schedules are defined, adhered to, and updated as need. SUPPLEMENTAL FUNCTIONS: Attend and participate in professional group meetings; stay abreast of new trends and innovations in the field of automated data systems.

Perform Division related activities and duties to contribute to program goals and objectives as required. Perform related duties and responsibilities as required. May assist with administrative support and department/Division related customer service activities and duties as needed.

Minimum Education, Experience And Additional Requirements Education and experience directly related to the minimum requirements below may be interchangeable on a year for year basis. Bachelor's degree from an accredited college or university in business, information systems, mathematics, social sciences or related field; and Five (5) years of data collection and maintenance, research, analysis, assimilation, statistics and report preparation experience; and To include two (2) years of evaluating program data to form conclusions and make recommendations. ADDITIONAL REQUIREMENTS: Possession of a valid Driver's License.

Possession of a City Operator's Permit (COP) within 6 months from date of hire. Working Conditions Environmental: Office and field environment; exposure to computer and equipment. Physical: Essential and supplemental functions may require maintaining physical condition necessary for sitting or standing for prolonged periods.


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