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Data Analysis Assistant Jobs (NOW HIRING)

NIO

Data Analysis Intern

San Jose, CA

$38 - $46/hr

Curate, preprocess, and analyze training data for LLM projects * Assist in training, tuning, and evaluating language models for specific use cases * Develop and test Python code to interact with LLM ...

NIO

Data Analysis Intern

San Jose, CA · On-site

$38 - $46/hr

Curate, preprocess, and analyze training data for LLM projects * Assist in training, tuning, and evaluating language models for specific use cases * Develop and test Python code to interact with LLM ...

Synex Talent

Oncology Data Specialist

Northborough, MA · Remote

$150K - $200K/yr

Prepare detailed reports and presentations based on data analysis * Assist in the development and implementation of data management protocols * Stay updated on industry trends and best practices in ...

Trustmark

Director, Data Analysis

Lake Forest, IL · On-site

$92K - $133K/yr

Deliver hands-on analytics and reporting by compiling and analyzing data from multiple sources ... Health/dental/vision, life insurance, FSA and HSA, 401(k) plan, Employee Assistant Program, Back-up ...

MetaPhase Consulting

Data Analyst

Indianapolis, IN · On-site

Support program and operational decision-making through quantitative and qualitative analysis * Assist with data calls, executive briefings, and reporting requirements with accuracy and timeliness

MetaPhase Consulting

Data Analyst

Washington, DC · On-site

Support program and operational decision-making through quantitative and qualitative analysis * Assist with data calls, executive briefings, and reporting requirements with accuracy and timeliness

Children's Wisconsin

Data Analyst III

Milwaukee, WI · Remote

... out data analysis, assist in measurement science and participate in the development of performance intelligence tools. In addition, this role may lead a team of analysts for large projects. This ...

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Data Analysis Assistant information

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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.
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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:
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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.

Undergraduate Intern Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Re-posted 4 days ago

Job description

Position Overview
We are seeking an undergraduate student to support our Finance and IT teams with a focus on data analysis and quantitative problem-solving. This internship provides hands-on experience working with financial datasets, basic modeling, and tools used in data-driven decision-making.
We welcome candidates from analytical and cross-disciplinary backgroundsincluding mathematics, applied mathematics, statistics, economics, engineering, computer science, physics, astrophysics, quantum computing, biotech and other data-driven fieldswho are interested in applying quantitative thinking to real-world business and financial problems.
Key Responsibilities
  • Work with structured datasets to support basic financial and operational analysis
  • Assist in organizing, cleaning, and validating data for reporting and modeling
  • Build and maintain spreadsheets and simple analytical models in Excel
  • Support development of reports, dashboards, and visualizations
  • Identify patterns, inconsistencies, or trends in data
  • Assist with automation or efficiency improvements using tools like Excel, SQL, or Python (where applicable)
  • Collaborate with team members on data, finance, and technology-related tasks
  • Apply quantitative or analytical approaches from coursework to practical business problems
Required Qualifications
  • Currently pursuing a Bachelors degree in a quantitative or analytical field (e.g., Mathematics, Applied Mathematics, Physics, Astrophysics, Statistics, Economics, Computer Science, Quantum Computing, Engineering, Finance, Biotech, or other data-driven discipline)
  • Strong problem-solving and analytical thinking skills
  • Familiarity with:
    • Microsoft Excel (formulas, basic functions)
    • Microsoft Office (Word, PowerPoint)
  • Comfort working with numbers and structured data
  • Strong attention to detail and willingness to learn
Preferred Qualifications
  • Exposure to programming or data tools (Python, SQL, R, or similar) through coursework or projects
  • Experience with Excel functions (e.g., VLOOKUP, pivot tables)
  • Introductory knowledge of statistics, probability, or data analysis
  • Interest in financial markets, data analytics, or fintech
  • Coursework or projects involving:
    • Data analysis or visualization
  • Mathematical modeling
  • Machine learning (introductory)
  • Computational or applied problem-solving
What Youll Gain
  • Hands-on experience applying quantitative skills in a real-world business environment
  • Exposure to financial data, analytics workflows, and decision-making processes
  • Opportunity to build foundational data and modeling skills
  • Mentorship and professional development
  • Insight into career paths in quantitative finance, data science, and analytics
Internship Details
  • Summer 2026, with possible extension