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Associate Data Science Analyst Jobs in Albuquerque, NM

ACT Science Tutor

Albuquerque, NM ยท Remote

$18 - $40/hr

Advanced Scientific Reasoning Mastery: Deep knowledge of data representation (graphs, tables ... Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ...

IDOS Aerospace Professionals

Albuquerque, NM ยท On-site

$80K - $133K/yr

... DAN), Data Science & Analysis (ESA), Development Operations (ESA), Digital Strategy (ESA), Documentation / Technical Writing (DOC), Electrical Engineering (ELE), Electronics Technicians (ELT ...

Evaluate transmitted field diagnostics data for accuracy. * Interact with responders in the field ... Bachelor of Science degree in an engineering/science related field or an Associate's Degree or ...

... data analysis and the creation of actionable recommendations. * You will keep up to date with emerging technologies in data science, artificial intelligence, and machine learning, applying them to ...

Earth Science Tutor

Albuquerque, NM ยท Remote

$18 - $40/hr

Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ... scientific literacy. * Effective Teaching Methods: Ability to identify concepts students commonly ...

Evaluate transmitted field diagnostics data for accuracy. * Interact with responders in the field ... Bachelor of Science degree in an engineering/science related field or an Associate's Degree or ...

Showing results 21-40

Associate Data Science Analyst information

See Albuquerque, NM salary details

$33K

$80.1K

$131.8K

How much do associate data science analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for associate data science analyst in Albuquerque, NM is $80,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $94,000.00 per year, depending on experience, location, and employer.

What is the difference between Associate Data Science Analyst vs Data Analyst?

AspectAssociate Data Science AnalystData Analyst
Required CredentialsBachelor's degree in data-related field; some roles prefer certifications in data analysis or programmingBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL are common
Work EnvironmentCollaborates with data scientists and engineers; involved in data modeling and analysis tasksFocuses on data collection, cleaning, and reporting; often works with business teams
Employer & Industry UsageUsed in tech, finance, healthcare industries; entry-level role in data teamsWidely used across industries for business insights and reporting

The Associate Data Science Analyst and Data Analyst roles share similarities in educational background and industry usage. However, the Associate Data Science Analyst typically involves more technical tasks like data modeling and working closely with data science teams, whereas Data Analysts focus more on data reporting and business insights. Both roles serve as entry points into data careers but differ in technical depth and collaboration scope.

What types of projects and datasets do associate data science analysts typically work with, and how do they contribute to larger team goals?

Associate Data Science Analysts often work on projects involving data cleaning, exploratory analysis, and basic model development using real-world datasets such as sales figures, customer behavior logs, or operational metrics. Their primary responsibility is to prepare, analyze, and visualize data to uncover insights that support business decisions. They collaborate closely with more senior data scientists, business analysts, and stakeholders to ensure that their analyses align with organizational objectives. This role provides valuable exposure to the end-to-end data science workflow and lays the foundation for advancement into more specialized or senior data science positions.

What are the key skills and qualifications needed to thrive as an associate data science analyst, and why are they important?

To thrive as an Associate Data Science Analyst, you need a solid grounding in statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and potentially foundational certifications in data analytics are commonly required. Strong problem-solving, critical thinking, and effective communication skills help analysts interpret data insights and convey findings to stakeholders. These competencies are crucial for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

What does an associate data science analyst do?

An Associate Data Science Analyst is an entry-level professional who assists in collecting, analyzing, and interpreting data to help organizations make data-driven decisions. They work closely with senior data scientists and analysts, using statistical tools and programming languages like Python or R to process data, create reports, and visualize results. Their responsibilities often include cleaning and organizing data sets, performing exploratory data analysis, and supporting the development of predictive models. This role is a great way to gain hands-on experience in data science while building foundational skills for more advanced positions.

Business Data Analyst II, Home Energy Rebates

Cogent Security LLC

Albuquerque, NM โ€ข On-site

$100K - $135K/yr

Full-time

Posted 24 days ago


Job description

Description:

Position Location: 1000 Independence Ave SW, Washington D.C. 20585

Salary: $100,000 - $135,000

Work Environment: Remote

Travel Required: None


Position Summary:

The Business Data Analyst II will support the Department of Energy (DOE), Office of State and

Community Energy Programs (SCEP), Home Energy Rebates program. The Home Energy Rebates

program delivers formula funding to states and communities to lower household energy costs through

whole-home efficiency retrofits and electrification of appliances and equipment.


The Business Data Analyst II will provide data review, analysis, reporting, and tool development in

support of the SCEP portfolio. This role works across the SCEP office to support the office-wide build-

out of shared data tools and reporting infrastructure while delivering program-specific analytics for Home

Rebates. A core function of the position is building tools from scratch and turning complex program and

financial data into clear, visually compelling products that help federal staff make key decisions. This role

works directly with the DOE Home Rebates federal team and within a functional team of similar experts

to support the office more broadly.


Specific requirements and responsibilities include:

- Design, build, and maintain data tools, dashboards, and reports from scratch using Power BI,

Excel, and Microsoft Access, integrating data from multiple DOE and program sources.

- Translate complex programs, budget, and performance data into clear, digestible, and visually

appealing formats that support federal decision-making.

- Support SCEP office-wide build-out of shared data tools and reporting infrastructure,

collaborating across programs to standardize data and reporting processes.

- Deliver program-specific analytics and reporting for the Home Energy Rebates program,

including budget, spend plan, and performance reporting.

- Lead data efforts in system modernization projects, including data synchronization, establishing

data reporting processes, and leading data quality efforts.

- Identify and resolve data gaps, exceptions, and quality issues; develop Standard Operating

Procedures (SOPs) and business and functional requirements.

- Develop management-level reports, briefings, case studies, and presentations for SCEP leadership

and the federal team.

- Perform ad hoc reporting and analysis in response to program and leadership needs.

Requirements:

Minimum Required Qualifications:

- Bachelor of Science or Bachelor of Arts in business administration, accounting, public

administration, data analytics, or a related discipline. Four (4) years of relevant

education/experience may substitute for the Bachelor’s degree.

- Minimum of eight (8) years of relevant experience. A Master’s degree may substitute for two (2)

years.

- Demonstrated expertise in Power BI, Microsoft Excel, and Microsoft Access, and other data

integration and visualization tools.

- Demonstrated ability to build data tools, dashboards, and reports from scratch.

- Demonstrated experience making complex information digestible and visually appealing to

support decision-making by senior or federal staff.

- Demonstrated experience working across an entire office or organization to support office-wide

tool build-out, while also delivering on program-specific responsibilities.

- Demonstrated ability to manage multiple projects simultaneously and work independently and

cross-functionally.


Preferred Qualifications:

- Master’s degree in a related discipline.

- Experience supporting the Home Energy Rebates program (HOMES and/or HEEHR).

- Experience supporting SCEP or the Department of Energy.

- Familiarity with DOE systems.

- Experience developing SOPs and data reporting processes for system modernization efforts.


About Innovative Technology Partnerships (ITP):

Innovative Technology Partnerships (ITP), A Cogent Security Company, provides consulting, management, engineering and technical support services in national security missions to the Department of Energy (DOE), National Nuclear Security Administration (NNSA), the National Laboratories and their Management and Operating (M&O) contractors associated with the nation's Nuclear Security Enterprise; as well as to other federal agencies and public/private sector organizations.

Company Website: https://www.cogentsecurity.com