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Part Time Entry Level Data Analyst Jobs in Boston, MA

Northeastern University's College of Professional Studies invites applicants for a part-time ... analyst, data specialist, database analyst, program analyst, research analyst, or research ...

ERG is seeking a part-time Research Analyst to join our Economic and Policy Analysis practice that ... Working with large data sets (e.g., performing data cleaning, merging, matching, visualization, etc ...

Posted today

Data Scientist (MMM)

Boston, MA ยท On-site

$90K/yr

Remote - anywhere in the US Duration: Full-time/Part-time position Pay Range: $90k+/annum ... Provide analytical/statistical support for marketing test design, campaign measurement, and market ...

Board Certified Behavior Analyst (BCBA) Location: Burlington, MA At Cortica, our Board-Certified ... Please review our Privacy Notice to understand how your data is collected, used, and protected.

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Part Time Entry Level Data Analyst information

See Boston, MA salary details

$14

$35

$67

How much do part time entry level data analyst jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for part time entry level data analyst 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.

How to get a job as a data analyst with no experience?

To get a part-time entry-level data analyst position with no experience, focus on building foundational skills in Excel, SQL, and data visualization tools like Tableau or Power BI through online courses or tutorials. Gaining familiarity with basic statistical concepts and creating a portfolio of simple projects can also improve your chances, along with applying for internships or volunteer opportunities to gain practical experience.

What is a part time entry level data analyst?

A part time entry level data analyst is someone who works fewer hours than a full-time employee and is typically new to the field of data analysis. Their main responsibilities include collecting, cleaning, and interpreting data to help organizations make informed decisions. They often use basic tools like Excel or introductory data analysis software, and work under the supervision of more experienced analysts. Entry level roles are designed for those who may have limited professional experience or are recent graduates looking to build their skills.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data collection, Excel, and data visualization tools like Tableau or Power BI. These roles often serve as starting points for individuals with little professional experience in data analysis or related fields.

What types of projects and tasks can I expect to handle as a part-time entry level data analyst?

As a part-time entry level data analyst, you'll typically work on tasks such as cleaning and organizing raw data, creating basic reports and visualizations, and assisting with data quality checks. You might also help maintain databases or support senior analysts with ongoing projects, such as tracking key metrics or preparing presentations. The projects are usually well-defined and supervised, making this role an excellent opportunity to build foundational skills while working closely with experienced team members.

Is 40 too late for data science?

For a part-time entry-level data analyst role, age is not a barrier; skills such as proficiency in Excel, SQL, or Python are more important. Many professionals transition into data analysis later in their careers by gaining relevant certifications or completing online courses. Age should not prevent you from developing the necessary skills and applying for entry-level positions in data analysis.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. Entry-level data analysts will need to develop skills in data visualization, programming, and domain knowledge to stay valuable as AI advances. Human judgment remains critical in understanding nuanced insights and communicating findings effectively.

What are the key skills and qualifications needed to thrive as a Part Time Entry Level Data Analyst, and why are they important?

To thrive as a Part Time Entry Level Data Analyst, you generally need a basic understanding of statistics, data interpretation, and proficiency with spreadsheet tools like Microsoft Excel, often supported by a relevant degree or coursework. Familiarity with data visualization software (e.g., Tableau), databases (e.g., SQL), and potentially introductory certifications in analytics are common requirements. Attention to detail, problem-solving abilities, and effective communication are soft skills that set standout candidates apart. These skills and qualities are crucial for accurately analyzing data, drawing meaningful insights, and clearly presenting findings to support organizational decision-making.
What are popular job titles related to Part Time Entry Level Data Analyst jobs in Boston, MA? For Part Time Entry Level Data Analyst jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Part Time Entry Level Data Analyst jobs in Boston, MA look for? The top searched job categories for Part Time Entry Level Data Analyst jobs in Boston, MA are:
What cities near Boston, MA are hiring for Part Time Entry Level Data Analyst jobs? Cities near Boston, MA with the most Part Time Entry Level Data Analyst job openings:
Infographic showing various Part Time Entry Level Data Analyst job openings in Boston, MA as of July 2026, with employment types broken down into 100% Part Time. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $74,405 per year, or $35.8 per hour.

Part-Time Lecturer - Analytics

Northeastern University

Boston, MA โ€ข On-site

$1.5K/wk

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Job description

About the Opportunity
About Northeastern:
Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus. Our locations-in Boston; Charlotte, North Carolina; London; Portland, Maine; San Francisco; Seattle; Silicon Valley; Toronto; Vancouver; Miami; Oakland; Arlington and the Massachusetts communities of Burlington and Nahant-are nodes in our growing global university system. Through this network, we expand opportunities for flexible, student-centered learning and collaborative, solutions-focused research. Northeastern's comprehensive array of undergraduate and graduate programs- in a variety of on-campus and online formats-lead to degrees through the doctorate in nine colleges and schools. Among these, we offer more than 195 multi-discipline majors and degrees designed to prepare students for purposeful lives and careers.
The College of Professional Studies is one of ten colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs.
About the Opportunity:
Northeastern University's College of Professional Studies invites applicants for a part-time faculty position to teach in the Master or Professional Studies Analytics, located on-ground in Boston, MA.
Responsibilities:
Instructional areas included, but are not limited to, analytics, with particular expertise in probability and statistics, data exploration, data visualization, and predictive analytics. The mission of the Master of Professional Studies in Analytics program is to foster foundational analytics skills among working professionals, including preparing data, conducting data analysis such as regression, forecasting, optimization, data visualization, and data story telling. This degree prepares students for entry-- and mid--level roles in analytics, such as data analyst, data specialist, database analyst, program analyst, research analyst, or research associate. These roles are general analyst roles and are not specific to any particular professional domains or disciplines (e.g., business, marketing, and engineering). The degree is deeply rooted in experiential learning that is closely linked to professional applications in the work force.
Qualifications:
Minimum qualification: Masters in an aligned discipline and analytics-industry experience.
Preference for candidates with a PhD in a sciences field, or similar.
Demonstration of teaching, coaching, and/or training is required, with a history of successful teaching (online/on ground) at the graduate level is strongly preferred.
Applicants should submit materials including a letter of interest, vitae, teaching evaluations, and contact information for three professional references. In your cover letter, please discuss how you can support our commitment to fostering an inclusive environment for all faculty, staff, and students.
Position Type
Academic
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Pay Range:
The per credit rate is $1,529