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Entry Level Data Analysis Jobs in Boston, MA (NOW HIRING)

Bracebridge Capital

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

Successful candidates will have solid programming foundations, be comfortable translating between qualitative and quantitative descriptions of problems and be excited to build data analysis and ...

Babel Street

Data Warehouse Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

We deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data ... This is an entry-level position perfect for a self-starter who possesses strong foundational SQL ...

American Income Life

Entry Level Sales

Boston, MA · Remote

$37K - $51K/yr

Role Description This is a full-time remote role for an Entry Level Growth Management position ... The role will involve day-to-day tasks such as analyzing data, implementing growth hacking ...

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All JobsData Analysis JobsEntry Level Data Analysis JobsEntry Level Data Analysis Jobs in Boston, MA

Entry Level Data Analysis information

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How much do entry level data analysis jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for entry level data analysis in Boston, MA is $35.77, according to ZipRecruiter salary data. Most workers in this role earn between $22.98 and $39.95 per hour, depending on experience, location, and employer.

What is an entry level data analyst?

An entry level data analyst is a professional who collects, processes, and performs basic analysis on data to help organizations make informed decisions. They typically work with tools like Excel, SQL, or data visualization software to organize and interpret data sets. Entry level analysts focus on tasks such as cleaning data, creating reports, and identifying trends, usually under the supervision of more experienced analysts. This role is ideal for recent graduates or individuals starting their career in data analysis.

What are some common challenges entry-level data analysts face when starting out, and how can they overcome them?

Entry-level data analysts often encounter challenges such as learning new data tools, understanding unfamiliar datasets, and translating business questions into analytical tasks. It's common to feel overwhelmed by the variety of software (like Excel, SQL, or Python) and the pace of real-world projects. To overcome these hurdles, new analysts should proactively seek mentorship, participate in team discussions, and take advantage of online resources or internal training. Regular collaboration with colleagues and asking clarifying questions can help build confidence and ensure successful project contributions.

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

To thrive as an Entry Level Data Analyst, you need foundational knowledge in statistics, data interpretation, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you extract meaningful insights and present findings effectively. These skills are crucial for transforming raw data into actionable information that supports informed business decisions.

What is the difference between Entry Level Data Analysis vs Data Analyst?

AspectEntry Level Data AnalysisData Analyst
Required CredentialsAssociate's degree or relevant certificationBachelor's degree often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time positions in various industries
Employer & Industry UsageStart of career, learning phaseMid-level roles, more responsibilities
Common Search & Comparison IntentUnderstanding entry-level opportunitiesAdvancement and skill development

Entry Level Data Analysis roles are designed for beginners with minimal experience, focusing on learning foundational skills. Data Analysts typically have more experience, handle complex data projects, and contribute to strategic decision-making. The main difference lies in experience level, responsibilities, and career progression.

What are the most commonly searched types of Data Analysis jobs in Boston, MA?

The most popular types of Data Analysis jobs in Boston, MA are:

What are popular job titles related to Entry Level Data Analysis jobs in Boston, MA?

For Entry Level Data Analysis jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analysis jobs in Boston, MA look for?

The top searched job categories for Entry Level Data Analysis jobs in Boston, MA are:

What cities near Boston, MA are hiring for Entry Level Data Analysis jobs?

Cities near Boston, MA with the most Entry Level Data Analysis job openings:

Entry Level Data Analysis jobs near you
Infographic showing various Entry Level Data Analysis job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $74,405 per year, or $35.8 per hour.

Market Information and Data Analytics (MIDA) - Business Analytics - Intern - Summer 2027

PRICEWATERHOUSECOOPERS CORPORATE FINANCE LLC

Boston, MA • On-site

$29.25 - $48/hr

Full-time

Posted 5 days ago

Job description

Industry/Sector

Not Applicable

Specialism

Business Analysis

Management Level

Intern/Trainee

Job Description & Summary

The Opportunity
As an AIT MIDA Business Analytics Intern, you will engage in a dynamic environment where you will support teams and participate in projects, focusing on learning and gaining exposure to PwC's practices. Within our Assurance practice, you will be part of a team that provides in-depth insights and experience to help businesses identify opportunities, optimize processes, and drive growth through data-driven decision-making. This role offers a unique chance to observe and contribute to the success of client engagements, enhancing your understanding of business analysis.
As an Intern, you will support teams by performing basic tasks and conducting research while observing professional work environments. You will have the opportunity to apply a learning mindset, take ownership of your development, and appreciate diverse perspectives. In this role at PwC, you will gather information from various sources to analyze facts and discern patterns, contributing to the team's success. You are encouraged to ask questions, take initiative, and produce quality work that adds value for our clients. This experience will help you establish your personal brand and pave the way for future opportunities.
Responsibilities
- Supporting teams in conducting business analysis to identify opportunities for process optimization and growth
- Participating in data analytics projects to enhance audit compliance and quality
- Assisting in the development of business cases to align with corporate strategies
- Engaging in business process modeling to improve operational efficiency
- Contributing to the creation of functional specifications for system enhancements
- Collaborating with stakeholders to gather and analyze business requirements
- Observing and learning from experienced professionals to gain insights into business analysis practices
- Applying business data analytics techniques to provide actionable insights for decision-making
- Conducting research to support the development of innovative solutions for business challenges
- Utilizing business administration skills to support project management tasks and client interactions
What You Must Have
- Currently pursuing or have completed a Bachelor's degree
- At least a 3.0 overall GPA
- Client service intern positions are considered entry-level roles. Candidates are typically in their third year of a four-year degree program or fourth year of a five-year program at the time of application
What Sets You Apart
- Preference for at least one of the following fields of study: Data Analytics and Statistics, Business Analytics, Finance
- Preference for a 3.5 overall GPA
- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
- Developing skills in business data analytics to drive growth
- Participating in business process analysis for optimization
- Supporting audit compliance through data analytics
- Engaging in business case development for strategic planning

Travel Requirements

Up to 20%

Job Posting End Date

September 26, 2026The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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