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Entry Level Data Jobs in Massachusetts (NOW HIRING)

Precise - Int

Entry-Level Financial Analyst

Boston, MA · On-site

$51K - $56K/yr

This is an Entry-Level position, but candidates with 1-2 years of experience will be considered ... Mapping and analyzing quantitative data * Preparing management reports * Managing cash flow and ...

ECOG-ACRIN MRF

Be Seen First

Clinical Data Associate

Boston, MA · On-site

$50K - $62K/yr

FANTASTIC IMMEDIATE OPPORTUNITY for ENTRY LEVEL & EXPERIENCED candidates Preference given to ... The Data Associate is responsible for the quality control of patient data on one or more studies ...

Fisher Organization

Entry-Level Remote Sales

Lowell, MA · On-site

Join a Purpose-Driven Team Making a Real Impact - Entry-Level Leadership Career Opportunity About ... data and help your team strategize for success Organize and lead virtual training and onboarding ...

Fisher Organization

Entry-Level Remote Sales

Lowell, MA · Remote

Join a Purpose-Driven Team Making a Real Impact - Entry-Level Leadership Career Opportunity About ... data and help your team strategize for success Organize and lead virtual training and onboarding ...

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Entry Level Data information

See Massachusetts salary details

$12

$21

$30

How much do entry level data jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for entry level data in Massachusetts is $21.27, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $23.89 per hour, depending on experience, location, and employer.

What is an entry level data job?

Entry level data jobs are positions designed for individuals who are new to the data field, often requiring minimal professional experience. These roles may include titles such as Data Analyst, Data Coordinator, or Junior Data Scientist. Responsibilities typically involve data cleaning, basic analysis, reporting, and supporting more senior data professionals. Entry level data jobs are a great way to build foundational skills in data manipulation, visualization, and interpretation using tools like Excel, SQL, or Python. They are commonly found in industries such as finance, healthcare, retail, and technology.

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

To thrive as an Entry Level Data Analyst, you need foundational skills in data analysis, statistics, and problem-solving, typically supported by a relevant degree such as in mathematics, statistics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms (e.g., Tableau or Power BI) is often required, along with basic programming knowledge in Python or R. Strong attention to detail, analytical thinking, and effective communication are valuable soft skills for interpreting and sharing data-driven insights. These abilities are important to accurately analyze data, support business decisions, and collaborate with team members across departments.

What types of projects or tasks are typically assigned to entry level data professionals during their first year?

Entry-level data professionals often start by working on data cleaning, validation, and basic analysis tasks, helping to ensure data quality and accuracy for the team. They may assist with preparing reports, creating simple visualizations, or supporting more senior analysts with larger projects. These tasks help build foundational skills in data manipulation and provide exposure to the company's data systems and tools. Collaboration with other team members, such as analysts, engineers, and business stakeholders, is common and fosters a supportive learning environment.

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

AspectEntry Level DataData Analyst
Required CredentialsHigh school diploma or associate's; some roles may prefer certificationsBachelor's degree in data-related fields; certifications like SQL or Excel often preferred
Work EnvironmentEntry-level roles in various industries, often in office settings or remoteOffice-based, collaborative environment; may involve client interaction
Employer & Industry UsageFound across industries; entry positions for those starting in data rolesCommon in finance, healthcare, marketing, and tech sectors

Entry Level Data roles are typically for individuals starting their data careers with basic skills and minimal experience, often focusing on data entry or simple analysis. Data Analysts usually have more specialized training and experience, handling complex data analysis, reporting, and insights. Both roles are essential in data-driven organizations, but Data Analysts generally require a higher skill set and educational background.

What are the most commonly searched types of Data jobs in Massachusetts?

The most popular types of Data jobs in Massachusetts are:

What cities in Massachusetts are hiring for Entry Level Data jobs?

Cities in Massachusetts with the most Entry Level Data job openings:

Entry Level Data jobs near you
Infographic showing various Entry Level Data job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $44,236 per year, or $21.3 per hour.

Market Information and Data Analytics (MIDA) - Data Quality - 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

Data Quality Assurance

Management Level

Intern/Trainee

Job Description & Summary

The Opportunity
As an AIT MIDA Data Quality - Intern, you will engage in projects that enhance the accuracy, completeness, and reliability of data, enabling businesses to trust their data for decision-making and reporting purposes. Within our Assurance practice, you will gain exposure to PwC's methodologies and support teams by performing basic tasks and conducting research. This role emphasizes learning and gaining exposure to professional work environments, where you will observe and contribute to the team's success.
As an Intern, you will focus on learning and gaining exposure to PwC's practices. You will support teams with basic tasks, participate in projects, and conduct research while observing professional work environments. This role encourages you to apply a learning mindset, appreciate diverse perspectives, and actively listen and communicate effectively. You will have the opportunity to gather information from various sources to analyze facts and discern patterns, contributing to your development and understanding of the business.
In this role, you will be part of a dynamic environment where each assignment presents unique challenges and opportunities for growth. You are encouraged to ask questions, take initiative, and produce quality work that adds value for clients and contributes to the team's success.
Responsibilities
- Supporting teams in data quality assurance tasks to enhance data accuracy and reliability
- Participating in data error checking processes to identify and correct inconsistencies
- Assisting in the development and implementation of data management plans to maintain data integrity
- Engaging in data profiling activities to gather informative summaries and statistics
- Collaborating with team members to manage independence processes and deliver data analytics for audit compliance
- Observing and learning from experienced professionals to gain exposure to PwC's practices and methodologies
- Contributing to the creation of data quality improvement plans to strengthen data management processes
- Applying a learning mindset to develop skills in data quality assurance and management
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, Data Processing/Analytics/Science, Finance, Management Information Systems
- Preference for a 3.5 overall GPA
- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
- Demonstrating proficiency in data error checking and integrity
- Participating in data quality assurance testing processes
- Supporting data management and quality improvement initiatives
- Engaging in active listening and communication within teams

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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