ZipRecruiter

Log In

1

Data Analysis Assistant Jobs (NOW HIRING)

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 ...

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 ...

Capital One

Manager, Data Analysis

Mclean, VA

Drive current and future strategy by leveraging your analytical skills * Assist with building and using models to test and validate data * Work with vast amounts of data in new and evolving ...

Capital One

Manager, Data Analysis

New York, NY · On-site

Drive current and future strategy by leveraging your analytical skills * Assist with building and using models to test and validate data * Work with vast amounts of data in new and evolving ...

Capital One

Manager, Data Analysis

New York, NY · On-site

Drive current and future strategy by leveraging your analytical skills * Assist with building and using models to test and validate data * Work with vast amounts of data in new and evolving ...

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 ...

Capital One

Data Analysis Manager

Plano, TX · On-site

Drive current and future strategy by leveraging your analytical skills. Assist with building and using models to test and validate data. Work with vast amounts of data in new and evolving ...

Capital One

Data Analysis Manager

Richmond, VA · On-site

Drive current and future strategy by leveraging your analytical skills. Assist with building and using models to test and validate data. Work with vast amounts of data in new and evolving ...

Capital One

Data Analysis Manager

Plano, TX · On-site +1

Drive current and future strategy by leveraging your analytical skills. Assist with building and using models to test and validate data. Work with vast amounts of data in new and evolving ...

Capital One

Data Analysis Manager

Richmond, VA · On-site +1

Drive current and future strategy by leveraging your analytical skills. Assist with building and using models to test and validate data. Work with vast amounts of data in new and evolving ...

MetaPhase Consulting

Data Analyst

Washington, DC

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

next page

Showing results 1-20

All 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 Jun 17, 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.

Is AI replacing data analysts?

AI is automating certain tasks within data analysis, such as data cleaning and basic reporting, but it does not replace the role of a data analysis assistant. Human skills like interpreting complex data, making strategic decisions, and communicating insights remain essential. Data analysts and assistants who develop skills in tools like SQL, Python, or data visualization are better positioned to adapt to technological changes.

What are the top 3 skills for a data analyst?

A data analysis assistant should have strong analytical skills to interpret data accurately, proficiency in data manipulation tools like Excel, SQL, or Python, and good communication skills to present findings clearly. Familiarity with data visualization software such as Tableau or Power BI is also valuable. These skills enable effective data-driven decision-making and reporting.

Is 40 too late for data science?

For a Data Analysis Assistant or similar data-related roles, starting a career at 40 is feasible as many employers value experience and analytical skills. Success often depends on acquiring relevant tools like SQL, Python, or Excel, and building a strong portfolio or certifications, regardless of age.

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 collection, cleaning, and organization to prepare datasets for analysis. They often use tools like Excel, SQL, or statistical software to identify trends and generate reports under the supervision of data analysts or scientists.

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 June 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 82% Physical, 4% 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

Full-time

Posted 13 days ago

Be an early applicant

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