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Remote Part Time Data Analytics Jobs in Albuquerque, NM

Data Architect

Albuquerque, NM · On-site +1

$61.75 - $79.50/hr

Remote Work: No Job Number: R0236266 Location: Albuquerque,NM,US Share job via: Share Data ... As organizations increasingly rely on cloud computing and advanced analytics, the ability to design ...

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

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Remote Part Time Data Analytics information

See Albuquerque, NM salary details

$23

$53

$91

How much do remote part time data analytics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote part time data analytics in Albuquerque, NM is $53.07, according to ZipRecruiter salary data. Most workers in this role earn between $42.64 and $60.10 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a remote part time data analyst?

To thrive as a Remote Part Time Data Analyst, you generally need strong analytical skills, proficiency in statistics, and a relevant degree or coursework in data analysis, mathematics, or a related field. Familiarity with tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau or Power BI is typically required. Excellent time management, communication, and self-motivation are standout soft skills for working independently and collaborating remotely. These abilities are crucial for accurately interpreting data, delivering actionable insights, and maintaining productivity in a flexible, remote work environment.

What is a remote part time data analyst?

Remote part-time data analytics jobs involve analyzing data sets to uncover trends, insights, and patterns, all while working from a location outside a traditional office and on a reduced hours schedule. Professionals in this role use tools like Excel, SQL, or Python to clean, interpret, and visualize data for organizations to support decision-making. These jobs are ideal for individuals seeking flexibility, such as students or those with other commitments, and can be found across many industries including marketing, healthcare, finance, and technology. Typical tasks include creating reports, building dashboards, and supporting data-driven projects. Remote part-time positions usually require strong analytical skills, attention to detail, and the ability to communicate findings effectively.

What is the difference between Remote Part Time Data Analytics vs Remote Part Time Data Analysis?

AspectRemote Part Time Data AnalyticsRemote Part Time Data Analysis
Required CredentialsTypically a degree in data science, statistics, or related field; certifications like Google Data Analytics or Microsoft ExcelSimilar credentials; often includes degrees in statistics, mathematics, or related areas; certifications are common
Work EnvironmentRemote, flexible hours, project-based tasksRemote, flexible hours, often involves data cleaning, visualization, and reporting
Employer & Industry UsageTech companies, finance, marketing agenciesMarket research firms, healthcare, e-commerce

Remote Part Time Data Analytics and Remote Part Time Data Analysis are closely related roles involving working with data remotely on a part-time basis. Data Analytics often emphasizes interpreting data to inform decisions, while Data Analysis may focus more on data cleaning and reporting. Both roles require similar skills, credentials, and work environments, making them interchangeable in many contexts.

What are common challenges faced by remote part time data analysts, and how can they be addressed?

Remote part-time data analysts often encounter challenges such as maintaining effective communication with team members, managing time across multiple projects, and accessing secure data remotely. To address these, it's important to establish clear communication channels—such as regular video meetings or dedicated chat groups—and use robust project management tools. Additionally, familiarizing yourself with your organization's data security protocols and time-tracking practices can help ensure a smooth workflow and data integrity while working remotely.
What are popular job titles related to Remote Part Time Data Analytics jobs in Albuquerque, NM? For Remote Part Time Data Analytics jobs in Albuquerque, NM, the most frequently searched job titles are:
What job categories do people searching Remote Part Time Data Analytics jobs in Albuquerque, NM look for? The top searched job categories for Remote Part Time Data Analytics jobs in Albuquerque, NM are:
Infographic showing various Remote Part Time Data Analytics job openings in Albuquerque, NM as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $110,380 per year, or $53.1 per hour.

Data Architect

Booz Allen Hamilton, Inc.

Albuquerque, NM • On-site, Remote

$61.75 - $79.50/hr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 23 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description


Remote Work:
No
Job Number:
R0236266
Location:
Albuquerque,NM,US
Share job via:
Share
Data Architect
The Opportunity:
As organizations increasingly rely on cloud computing and advanced analytics, the ability to design well-structured, scalable, and well-governed data systems is more important than ever. We are looking for a Junior Data Architect to help shape and support the data foundation that powers analytics, reporting, and operational insights across our organization.
As a Junior Data Architect, you'll work alongside engineers, analysts, and business stakeholders to design and maintain data structures that make complex data accessible, reliable, and meaningful. Working within AWS-based environments, you'll help model data, support pipeline development, and contribute to building scalable data architectures that support both operational and analytical workloads.
Here, you'll work with a multi-disciplinary team in a fast-paced and agile environment. You'll help translate business requirements into well-structured data models and architecture patterns while collaborating closely with data engineers and platform teams to ensure systems are scalable, performant, and reliable. You'll also help support data governance practices, including improving data quality, documentation, and standards that promote responsible and consistent use of organizational data.
How You'll Contribute
As a Junior Data Architect on our team, you will:
  • Design and maintain logical and physical data models that support analytics and reporting use cases.
  • Write and optimize SQL queries to transform and structure data for downstream systems and reporting.
  • Collaborate with engineering teams to support the design and implementation of data pipelines and data integration workflows within AWS environments.
  • Translate business and analytical requirements into scalable data structures and architecture patterns.
  • Help design and maintain data schemas, metadata standards, and documentation to improve data discoverability and usability.
  • Support development and optimization of ETL and ELT workflows that transform raw data into curated analytical datasets.
  • Assist in maintaining the reliability, performance, and scalability of data storage and processing systems.
  • Work with cross-functional stakeholders including product, analytics, and engineering teams to understand and address data needs.
  • Support data governance initiatives, including improving data quality, lineage visibility, and consistency across datasets.
  • Help enforce data standards and best practices to ensure data integrity, appropriate access, and responsible data usage across the organization.

You Have:
  • Experience working with data systems, data engineering, analytics engineering, or data architecture
  • Experience writing and optimizing SQL queries for data transformation and analysis
  • Experience working with relational databases or cloud data platforms such as AWS
  • Experience using Python for data processing, automation, or scripting
  • Knowledge of ETL and ELT processes and modern data pipeline architectures
  • Knowledge of data governance concepts, including data quality, metadata management, and data documentation
  • Ability to communicate technical concepts and collaborate with cross-functional stakeholders
  • Ability to obtain a Secret clearance
  • Bachelor's degree

Nice If You Have:
  • Experience with AWS data services such as S3, Glue, Redshift, or Athena
  • Experience supporting data warehouse or lakehouse architectures
  • Experience with data orchestration or transformation tools such as Airflow or dbt
  • Experience with data governance tools such as data catalogs, lineage tools, or metadata management platforms
  • Experience working with large-scale analytical datasets
  • Secret clearance
  • CDMP certification

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $61,900.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914