ZipRecruiter

Log In

1

Data Analysis Assistant Jobs (NOW HIRING)

Aptive

Data Analyst, Sr - AI Research Systems Support

$85K - $108K/yr

... data analysis. * Assist with development of scalable analytics workflows and rapid testing approaches to improve operational efficiency and reporting responsiveness. * Support integration and ...

Perry Ellis International

Assistant Planner

Miami, FL · On-site

Support the Director of Retail Planning with in-season business decks, ad hoc analysis, and data ... Assist with planning and forecasting of replenishment buys and related analyses. Assist in ...

Jobs for Humanity

Data Entry Specialist

Phoenix, AZ · On-site

$17 - $22.50/hr

Generate and prepare reports based on data analysis. * Assist in identifying and resolving data discrepancies and issues. Required Skills and Qualifications: * High school diploma or equivalent ...

next page

Showing results 1-20

All JobsData Analysis JobsData Analysis Assistant Jobs

Data Analysis Assistant information

See salary details

$10

$19

$26

How much do data analysis assistant jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for data analysis assistant in the United States is $19.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.39 per hour, depending on experience, location, and employer.

What is the difference between Data Analysis Assistant vs Data Analyst?

AspectData Analysis AssistantData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree or higher in related fields
Work EnvironmentSupportive, entry-level roles in offices or teamsIndependent or team-based analysis in various industries
Employer & Industry UsageEntry-level support roles across sectorsData-driven decision-making roles in multiple industries
Common Search & ComparisonOften compared for entry-level data support rolesMore advanced, analytical positions

The Data Analysis Assistant typically performs entry-level support tasks, assisting with data collection and basic analysis, often requiring an associate's degree or certifications. In contrast, Data Analysts handle more complex data interpretation, reporting, and strategic insights, usually holding a bachelor's degree or higher. While both roles work in similar environments, the Data Analyst role involves greater responsibility and independence.

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

To thrive as a Data Analysis Assistant, you need a solid background in statistics, data interpretation, and proficiency with spreadsheets, often supported by a relevant degree or coursework. Familiarity with data analysis tools such as Microsoft Excel, SQL, and basic knowledge of programming languages like Python or R is commonly required. Attention to detail, critical thinking, and strong communication skills help you effectively process data and present findings. These competencies are crucial for ensuring accurate data handling, supporting sound business decisions, and enabling effective teamwork.

What does a Data Analysis Assistant do?

A Data Analysis Assistant supports data analysts and data scientists by collecting, cleaning, organizing, and preparing data for analysis. They help ensure the accuracy and integrity of datasets, create basic reports or visualizations, and may assist with statistical analysis or data entry tasks. Their work allows the analysis team to focus on more complex data interpretation and decision-making, making the assistant an essential part of the data workflow.

What are some common challenges faced by Data Analysis Assistants when supporting multiple projects simultaneously?

Data Analysis Assistants often juggle several projects at once, which can make prioritizing tasks and managing time a challenge. Balancing the differing data requirements, deadlines, and communication with multiple team members requires strong organizational skills and adaptability. It's important to maintain clear documentation, proactively clarify expectations with project leads, and regularly update stakeholders on progress. Effective use of tools for tracking assignments and deadlines can help ensure accuracy and timely delivery of analyses.
More about Data Analysis Assistant jobs
What cities are hiring for Data Analysis Assistant jobs? Cities with the most Data Analysis Assistant job openings:
What are the most commonly searched types of Data Analysis jobs? The most popular types of Data Analysis jobs are:
What states have the most Data Analysis Assistant jobs? States with the most job openings for Data Analysis Assistant jobs include:
What job categories do people searching Data Analysis Assistant jobs look for? The top searched job categories for Data Analysis Assistant jobs are:
Data Analysis Assistant jobs near you
Infographic showing various Data Analysis Assistant job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $39,629 per year, or $19.1 per hour.
Data Analyst, Sr - AI Research Systems Support

Data Analyst, Sr - AI Research Systems Support

Aptive

Remote

$85K - $108K/yr

Part-time

Re-posted 5 days ago

Aptive Environmental rating

5.5

Company rating: 5.5 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

28th of 33 rated pest control companies

Job description

Job Summary

Aptive Resources is seeking a Senior Data Analyst to support artificial intelligence (AI), analytics, and data modernization initiatives within the Department of Veterans Affairs (VA) Office of Research and Development (ORD). This role supports enterprise AI activities focused on research portfolio analysis, operational reporting, AI-enabled analytics, and development of scalable data capabilities supporting research, policy, and operational decision-making.

The Senior Data Analyst will support data analysis, reporting, statistical programming, and analytics activities associated with strategic AI initiatives, research operations, and enterprise modernization efforts. The position will work closely with technical teams, project managers, operational leadership, and stakeholders to support data integration, reporting automation, AI pilot initiatives, and analytics-driven operational improvements.

The ideal candidate will have experience supporting analytics, reporting, statistical analysis, and enterprise data operations in healthcare, research, or enterprise operational environments.

This is a full-time (40 hours/week), 100% remote position. 

It is currently funded through September 29, 2026 under the current contract period of performance, with potential for extension into the next option year based on contract continuation and program needs.

Primary Responsibilities
  • Support analytics and reporting activities associated with enterprise AI, research, and operational modernization initiatives.
  • Develop and maintain dashboards, reports, data visualizations, and operational analytics supporting leadership decision-making.
  • Perform data extraction, transformation, analysis, validation, and reporting activities across multiple enterprise data sources.
  • Support development and optimization of ETL workflows, reporting processes, and analytics activities.
  • Conduct statistical programming, data analysis, and operational reporting activities supporting research and organizational priorities.
  • Support AI-enabled analytics initiatives, including activities involving large language models (LLMs), retrieval workflows, and operational data analysis.
  • Assist with development of scalable analytics workflows and rapid testing approaches to improve operational efficiency and reporting responsiveness.
  • Support integration and analysis of data from research systems, operational platforms, databases, and cloud-based environments.
  • Collaborate with technical and operational stakeholders to support AI pilots, analytics initiatives, and reporting priorities.
  • Support data quality management, validation, and continuous improvement activities.
  • Prepare summaries, presentations, dashboards, and executive-level reporting materials for technical and non-technical audiences.
Minimum Qualifications
  • Bachelor's degree in data science, statistics, computer science, healthcare informatics, mathematics, public health, or a related field.
  • 8+ years of experience supporting data analytics, reporting, statistical programming, or enterprise data operations in a complex organization.
  • Experience with SQL, Python, ETL processes, databases, and analytics/reporting environments.
  • Experience developing dashboards, reports, data visualizations, or business intelligence solutions.
  • Experience supporting cloud-based analytics, data warehouse, or data lake environments.
  • Familiarity with AI/ML technologies, large language models (LLMs), or AI-enabled analytics workflows.
  • Strong analytical and problem-solving skills with the ability to synthesize complex data into actionable insights.
  • Experience supporting data quality management and validation activities.
  • Ability to communicate technical findings clearly to executive and non-technical stakeholders.
  • Proficiency with Microsoft Office Suite, including Excel and PowerPoint.
  • Ability to work independently in a remote environment while managing multiple priorities.
  • Ability to obtain and maintain a public trust clearance.
  • Legal authorization to work in the United States.
Desired Qualifications
  • Experience supporting VA, VHA, federal healthcare, research, or enterprise analytics environments.
  • Experience with Power BI, Tableau, or similar business intelligence and visualization platforms.
  • Experience supporting AI-enabled analytics, retrieval workflows, or data-driven reporting solutions.
  • Familiarity with REDCap, healthcare data systems, or research data environments.
  • Experience supporting operational analytics, portfolio analysis, or reporting modernization initiatives.
  • Familiarity with cloud platforms such as Azure or AWS.
  • Experience working in fast-paced, matrixed environments supporting multiple concurrent priorities.
  • High degree of professionalism, discretion, and mature judgment in handling sensitive information.
About Aptive

Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, we support more than a dozen agencies including Veterans Affairs, Transportation, Defense, Homeland Security and the National Science Foundation.

We specialize in applying technology, creativity and human-centered services to optimize mission delivery and improve experiences for millions of people who count on government services every day.

Founded: 2012Employees: 300+ nationwide

EEO Statement

Aptive is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, national origin, religion, creed, sex, sexual orientation, gender identity, marital status, parental status, veteran status, age, disability, or any other protected class.

Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are highly encouraged to apply.

Employment Type: PART_TIME

What Aptive Environmental employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply