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

RE/SPEC Inc.

BI Developer (Contractor)

Albuquerque, NM · On-site +1

Depending on your expertise, you might design infrastructure in remote locations, develop renewable ... Analyze data for quality/completeness * Validate data marts and dashboards against source systems

RE/SPEC Inc.

BI Developer (Contractor)

Albuquerque, NM · Remote

Depending on your expertise, you might design infrastructure in remote locations, develop renewable ... Analyze data for quality/completeness * Validate data marts and dashboards against source systems

DataAnnotation

FP&A Manager - AI Trainer

Albuquerque, NM · Remote

$50 - $60/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

FP&A Manager - AI Trainer

Rio Rancho, NM · Remote

$50 - $60/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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All JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Rio Rancho, NM

Remote Data Analyst information

See Rio Rancho, NM salary details

$30.7K

$74.5K

$122.7K

How much do remote data analyst jobs pay per year?

As of Jun 25, 2026, the average yearly pay for remote data analyst in Rio Rancho, NM is $74,533.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,400.00 and $87,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available as remote jobs, allowing professionals to work from anywhere with a computer and internet connection. Remote data analysts often use tools like Excel, SQL, and data visualization software, and strong communication skills are important for remote collaboration.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

How do Remote Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

Is AI replacing data analysts?

AI tools are automating certain data processing tasks, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a remote data analyst involves skills in data visualization, statistical analysis, and tools like SQL and Python, which complement AI capabilities rather than being replaced by them.

What does a Remote Data Analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

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

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

What jobs pay 200,000 a year in the USA?

Remote Data Analysts typically do not reach $200,000 annually, but senior data analyst roles with extensive experience, advanced skills in SQL, Python, or R, and industry certifications can approach or exceed this level. High-paying data-related roles often involve leadership, specialized expertise, or working in industries like finance or technology. Executive or specialized data science positions are more likely to offer salaries at or above this threshold.

What Does a Remote Data Analyst Do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

More about Remote 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 Remote Data Analyst jobs in Rio Rancho, NM look for? The top searched job categories for Remote Data Analyst jobs in Rio Rancho, NM are:
What cities near Rio Rancho, NM are hiring for Remote Data Analyst jobs? Cities near Rio Rancho, NM with the most Remote Data Analyst job openings:
Remote Data Analyst jobs near you
BI Developer (Contractor)

BI Developer (Contractor)

RE/SPEC Inc.

Albuquerque, NM • On-site, Remote

Contractor

Posted 13 days ago

Job description

Company Description
Big challenges need bold thinkers.
If you're someone who sees problems as opportunities, you'll thrive here. RESPEC is 100% employee-owned, which means we take ownership of every challenge. Here, your ideas drive real solutions. Since 1969, we've tackled complex challenges in energy transition, infrastructure resilience, digital transformation, and sustainability.
At RESPEC, you'll work alongside clients to take on critical problems. Depending on your expertise, you might design infrastructure in remote locations, develop renewable energy solutions for global projects, or apply data-driven technology to improve mining and water systems.
We bring deep technical knowledge, real-world experience, and a commitment to work that matters. If you're looking for a place where your contributions have real impact, you'll fit right in.
We do not accept unsolicited resumes from third-party recruiters.
Job Description
RESPEC is hiring a BI Developer to support a public sector partner by administering, developing, and maintaining reporting and analytics solutions. This role is hands-on and highly technical, with a strong focus on Google Looker (LookML) and SQL Server. You'll work across data marts, dashboards, and reports-validating data quality, implementing business rules, and training both technical and non-technical users.
This is a great fit for someone who can move between business needs and technical execution, enjoys troubleshooting, and can work independently while collaborating closely with SMEs and stakeholders.
Key Responsibilities
  • Administer, develop, and maintain Google Looker:
    • User administration, models, dashboards, user attributes
    • LookML development, dashboard design, visualizations
    • Build simple/complex Looks, merge queries, and tune performance
  • Create and maintain SQL Server Reporting Services (SSRS) reports.
  • Develop and maintain SQL Server objects and logic:
    • T-SQL, views, CTEs, functions, stored procedures
    • SQL processes/scripts to move and transform data between data marts
  • Perform data analysis and validation:
    • Analyze data for quality/completeness
    • Validate data marts and dashboards against source systems
    • Implement and document business rules and processes
    • Create and execute test cases for data and reporting requirements
  • Troubleshoot data, dashboards, and reporting issues; respond to investigation requests.
  • Elicit and document requirements for data marts, dashboards, and reporting.
  • Create technical and end-user documentation; train users on Looker capabilities and best practices.
  • Apply appropriate handling of sensitive data, including recognizing and masking PII.
  • Take on team leadership activities as needed (mentoring, task assignment, code reviews, prioritization).

Qualifications
  • Strong SQL Server skills: SQL/T-SQL, views, CTEs, functions, stored procedures.
  • Strong Google Looker experience, including:
    • LookML modeling
    • Tool administration and user attributes
    • Dashboard design and correct visualization selection
    • Merge queries and performance tuning
    • Ability to train both technical and non-technical users
  • Experience creating and maintaining SSRS reports.
  • Strong data analysis skills (business rules, validation, testing, data completeness).
  • Proven troubleshooting and root-cause analysis ability.
  • Excellent communication skills-able to translate business needs into technical requirements and explain technical concepts clearly.
  • Detail-oriented, self-directed, quick to learn new systems, and team-oriented.

Nice to Have
  • Experience assisting with data mart design and data validation frameworks.
  • Prior lead/mentor experience in BI or analytics teams.

What Success Looks Like
  • Reliable, accurate dashboards and reports that reconcile to source data.
  • Well-structured Looker models and dashboards that perform efficiently and are easy for users to navigate.
  • Clear documentation and effective training that increases adoption and reduces support burden.
  • Consistent, secure handling of sensitive data (PII) across reports and analytics products.

Additional Information
All your information will be kept confidential according to EEO guidelines.

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