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Entry Level Data & Analytics Jobs in Massachusetts

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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 ...

Pwc

Health Actuary Consultant- Senior Associate

Boston, MA · On-site

$77K - $202K/yr

Accounting, Actuarial Science, Analytics/Data Science, Business Administration/Management, Computer ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Lancesoft

Product Surveillance Analyst

Burlington, MA · On-site

$30 - $33/hr

... Entry-level role Will accept fresh college graduates with internship or capstone project work ... data related to product and patient information coming in from the field Must have excellent ...

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Entry Level Data Analytics information

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$36K

$89K

$152.9K

How much do entry level data & analytics jobs pay per year?

As of Aug 11, 2026, the average yearly pay for entry level data & analytics in Massachusetts is $89,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $105,400.00 per year, depending on experience, location, and employer.

How can I start a career in data & analytics?

To start a career in data & analytics, focus on developing skills in data analysis, statistics, and programming languages like Python or SQL. Earning relevant certifications, such as those in data analysis or business intelligence, and gaining hands-on experience through internships or projects can also improve job prospects.

What does an entry level data & analytics do?

As an Entry Level Data & Analytics team member, your daily tasks often involve gathering, cleaning, and preparing datasets, conducting basic analyses, and creating data visualizations to help explain findings. You'll frequently collaborate with senior analysts or managers, supporting ongoing projects by generating reports or troubleshooting data issues. This role also requires you to communicate your insights to both technical and non-technical colleagues, so clear documentation and presentation skills are valuable. Over time, you'll gain exposure to more complex analytical work and opportunities to specialize as you grow in your career.

What are the key skills and qualifications needed to thrive in the entry level data & analytics position?

To thrive as an Entry Level Data & Analytics professional, you need a basic understanding of statistics, data analysis, and data visualization, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with analytical tools such as Excel, SQL, Python, or Tableau, and any relevant certifications (like Google Data Analytics or Microsoft Excel certification) are often expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate data insights into actionable recommendations for stakeholders. These competencies are crucial for ensuring accurate data interpretation and meaningful contributions to business decision-making.

Can I get into entry level data & analytics with no experience?

Entry level data and analytics roles often do not require prior professional experience and focus on foundational skills such as Excel, SQL, or basic statistics. Candidates can improve their chances by completing relevant online courses, certifications, or internships to demonstrate their interest and basic competency in data analysis tools and concepts.

What is an entry level data & analytics?

An Entry Level Data & Analytics job involves collecting, processing, and analyzing data to help organizations make informed decisions. Responsibilities may include cleaning datasets, creating reports, and using tools like Excel, SQL, or Python to extract insights. These roles often require strong analytical thinking, attention to detail, and proficiency in data visualization tools. Entry-level employees typically work under the guidance of senior analysts or data scientists to develop skills and gain industry experience.

What are popular job titles related to Entry Level Data & Analytics jobs in Massachusetts? For Entry Level Data & Analytics jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Entry Level Data & Analytics jobs in Massachusetts look for? The top searched job categories for Entry Level Data & Analytics jobs in Massachusetts are:
Entry Level Data Analytics jobs near you
Infographic showing various Entry Level Data & Analytics job openings in Massachusetts as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $89,028 per year, or $42.8 per hour.

Front Office Strategy Consulting - PLS Customer Analytics - Senior Associate

PwC

Boston, MA • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

27th of 72 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Customer

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Front Office Strategy Consulting - PLS Customer Analytics - Senior Associate, you will leverage advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Within our Management Consulting practice, you will focus on utilizing your skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As a Senior Associate, you will build meaningful client connections, learning how to manage and inspire others while navigating increasingly complex situations. You are expected to anticipate the needs of your teams and clients, delivering quality work and growing your personal brand.
In this role, you will be part of a dynamic team that leverages data to drive insights and make informed business decisions. You will have the opportunity to deepen your understanding of the business context and how it is evolving, using critical thinking to break down complex concepts. By interpreting data to inform insights and recommendations, you will contribute to optimizing client operations and achieving strategic goals. This position offers a chance to develop your skills and grow within a supportive environment, embracing increased ambiguity and using these moments as opportunities for personal and professional growth.
Responsibilities
- Leveraging advanced analytics techniques to extract insights from large datasets and drive data-driven decision-making
- Utilizing skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems
- Building meaningful client connections and managing relationships to anticipate and address client needs
- Navigating complex situations to grow personal brand and deepen technical skills
- Developing and deploying scalable data visualization and analytics solutions using tools like Power BI and Tableau
- Conducting exploratory data analysis and predictive modeling to inform insights and recommendations
- Integrating data from various sources to enhance data quality and integrity
- Validating data security and compliance within analytics frameworks
- Creating dashboards and reports to communicate findings effectively to stakeholders
- Mentoring junior team members and guiding them in the use of data analysis tools and methodologies
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
- At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
- Demonstrating proficiency in data analysis and visualization tools
- Utilizing advanced skills in predictive analytics and machine learning
- Excelling in customer analytics and forecasting methodologies
- Navigating complex data environments with ease
- Building meaningful client relationships through effective communication

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs 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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