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Entry Level Data Analyst Jobs in Lawrence, MA (NOW HIRING)

Pwc

AIT - AI Data Scientist Senior Associate

Boston, MA · On-site

$72K - $212K/yr

In this role at PwC, you will work on exploratory and descriptive analysis, statistical modeling ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

The Cadmus Group, Inc.

Market Research Analyst

Boston, MA · Hybrid

$60K - $70K/yr

This is an entry-level role in which the Research Analyst will be responsible for assisting with ... Support program evaluation leads in developing high-quality data collection tools including ...

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 database for analysis. * Other duties as assigned. Qualifications: * Bachelor's degree ...

MIT Lincoln Laboratory

Financial Analyst

Lexington, MA · On-site

These tasks include master data maintenance, updating Points of Contact for Program Sponsor Reports ... Bachelor's degree required (preferably in Business, Finance, or a related field). * Entry Level: 0 ...

MIT Lincoln Laboratory

Financial Analyst

Lexington, MA · On-site

These tasks include master data maintenance, updating Points of Contact for Program Sponsor Reports ... Bachelor's degree required (preferably in Business, Finance, or a related field). * Entry Level: 0 ...

Pwc

Data Validation Risk - Senior Associate

Boston, MA · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Charm Sciences Inc

LF PRODUCTION ANALYST

Lawrence, MA · On-site

$22.50 - $32/hr

Description Overview The Lateral Flow Production Analyst is an entry level, non-exempt position ... Present complete data for approval by management. Bag, label and seal finished product and store in ...

Charm Sciences

LF PRODUCTION ANALYST

Lawrence, MA · On-site

$22.50 - $32/hr

Overview The Lateral Flow Production Analyst is an entry level, non-exempt position that reports to ... Present complete data for approval by management. * Bag, label and seal finished product and store ...

Charm Sciences, Inc

LF PRODUCTION ANALYST

Lawrence, MA · On-site

$22.50 - $32/hr

Job Type Full-time Description Overview The Lateral Flow Production Analyst is an entry level, non ... Present complete data for approval by management. • Bag, label and seal finished product and ...

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All JobsData Analyst JobsEntry Level Data Analyst JobsEntry Level Data Analyst Jobs in Lawrence, MA

Entry Level Data Analyst information

See Lawrence, MA salary details

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$34

$64

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

As of Sep 1, 2026, the average hourly pay for entry level data analyst in Lawrence, MA is $34.54, according to ZipRecruiter salary data. Most workers in this role earn between $22.21 and $38.61 per hour, depending on experience, location, and employer.

What does an entry level data analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

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 strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

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

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

More about Entry Level Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Lawrence, MA?

The most popular types of Data Analyst jobs in Lawrence, MA are:

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

The top searched job categories for Entry Level Data Analyst jobs in Lawrence, MA are:

What cities near Lawrence, MA are hiring for Entry Level Data Analyst jobs?

Cities near Lawrence, MA with the most Entry Level Data Analyst job openings:

Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Lawrence, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $71,852 per year, or $34.5 per hour.

Associate Product Manager, Traffic Shaping

Magnite

Boston, MA • On-site

$95K - $105K/yr

Full-time

Medical, Life, Retirement

Re-posted 14 days ago

Job description

Associate Product Manager, Traffic Shaping
Boston, MA
Hybrid Schedule (M/F remote, T/W/TH in-office)
At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we're looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world's largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats, including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day!
About this team:
Traffic Shaping uses machine learning to identify the ad requests most valuable to process, helping maximize publisher revenue while using infrastructure efficiently. Operating at a scale of trillions of requests per day, we partner closely with Data Science and Engineering through a fast, experiment-driven cycle of A/B tests and frequent high-impact deployments.
We're hiring an Associate Product Manager to join our Boston team as an on-ramp into product management. We are not expecting a polished PM out of the gate. We're looking for someone analytical and technical, willing to learn on the job, and able to work side by side with an experienced team of product managers, data scientists, and engineers. We'll invest in developing your skills through real mentorship, hands-on projects, and direct feedback. This role is designed to build the skills and experience needed to take on progressively broader product ownership.
In this role, you will:
  • Build a deep understanding of the Traffic Shaping product, its data, and the systems it interacts with, developing the context needed to make sound product decisions
  • Analyze large and sometimes messy datasets, turning the results into clear insights, recommendations, and next steps
  • Partner with Product, Data Science, and Engineering to design, run, and evaluate A/B tests and deployment validations
  • Identify and implement improvements to product operations, launch processes, and recurring workflows, including opportunities for automation
  • Translate product problems into clear requirements, coordinate execution across functions, and communicate results to stakeholders
  • Take progressively broader ownership, beginning with scoped features and growing into end-to-end responsibility for initiatives from definition through rollout and validation

We're looking for someone with:
  • Early-career hunger to learn. A recent graduate, or someone with ~1-2 years of experience in an analytical or technical role (e.g., analyst, entry-level data scientist, or engineer) who is looking to move into product. We care more about raw ability, curiosity, and grit than years of experience. Prior product management and ad tech experience are not required.
  • Strong problem-solving and analytical skills. Comfort with data (Excel charts, pivots, basic models, plus SQL or the ability to pick it up fast).
  • Technical comfort. Not scared to use the command line, work with AI tools, or read and write a little code. You don't need to be an engineer.
  • Clear communication, in writing and verbally. (This grows with repetition, and we'll coach you!)
  • An ownership mentality. You take something and follow through without being chased.
  • A quantitative or technical background (preferred, not required). e.g., math, statistics, economics, computer science, engineering. No specialized (e.g., ML) degree and no ad tech experience required.
  • A Bachelor's degree or equivalent practical experience.

In Massachusetts, the base salary range for this role is $95,000 - $105,000.
Actual compensation will be determined based on location, experience, skills, and internal equity.
This role is also eligible for:
  • Annual performance-based bonus
  • Equity (NASDAQ: MGNI)
  • Comprehensive benefits package

During the interview process, candidates will receive more specific information about the salary range applicable to their experience and location.
Perks and Benefits:
  • Comprehensive Healthcare Coverage from Day One
  • Generous Time Off
  • Holiday Breaks and Quarterly Wellness Days
  • Equity and Employee Stock Purchase Plan
  • Family-Focused Benefits and Parental Leave
  • 401k Retirement Savings Plan with Employer Match
  • Disability and Life Insurance
  • Cell Phone Subsidy
  • Monthly Fitness and Reimbursement

Career Growth:
We support internal mobility, skill development, and leadership pathways through structured career frameworks and learning programs.
Company Culture:
Magnite's culture is rooted in collaboration and connection, recognizing that both are essential to success. Our hybrid schedule includes two remote workdays (Monday and Friday) and three in-office days (Tuesday through Thursday), where employees can take advantage of catered lunches, beverages, snacks, training opportunities, and engaging office events that enhance the work experience. In addition, we support our team through meaningful benefits and programs, including community service and volunteer opportunities, company-matched charitable contributions, access to mental health resources, structured career development initiatives and growth frameworks, culture and inclusion programs, and our Bonusly peer-to-peer recognition platform.
About Us
The world's leading agencies and brands trust our platform to access brand-safe, high-quality ad inventory and execute billions of advertising transactions each month. Anchored in bustling New York City, sunny Los Angeles, mile-high Denver, historic London, and down under in Sydney, Magnite has offices across North America, EMEA, LATAM, and APAC.
Magnite is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other federal, state or local protected class.
Our Commitment: We aim to incorporate a wide range of voices into our Magnite culture, cultivating an environment where employees feel welcomed, cared for, and encouraged to freely share ideas. We are committed to employee growth, collaboration, inclusion, and innovation. We invest in Magnite's local communities. We seek talent from all backgrounds to champion corporate values of seeing the big picture and being catalysts of change.
Want to learn more about us?
Check out our blog for Magnite announcements and Ad Tech industry news!
Recruiting Agency Notice
Magnite does not accept agency resumes and is not responsible for any fees related to unsolicited resumes.

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