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Entry Level Policy Analyst Jobs in Springfield, MA

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

Shop Foreman

Westfield, MA · On-site

$79K - $118K/yr

Under general direction, this position is an entry-level people management position that will ... Ability to accurately analyze situations and reach productive decisions based on informed judgment

Your insights will drive competitive analysis and market intelligence activities, translating them ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Responsibilities - Analyzing client requirements to implement SAP CRM software solutions ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Showing results 41-60

Entry Level Policy Analyst information

See Springfield, MA salary details

$53.3K

$100.6K

$116.6K

How much do entry level policy analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for entry level policy analyst in Springfield, MA is $100,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,700.00 and $116,100.00 per year, depending on experience, location, and employer.

What is an entry level policy analyst?

Entry level policy analysts are professionals who assist in researching, evaluating, and developing policies for organizations, government agencies, or think tanks. They collect and analyze data, prepare reports, and help assess the effectiveness of current or proposed policies. Typically, these roles are suited for recent graduates and those with limited professional experience, offering opportunities to build expertise in policy research and analysis. Entry level policy analysts work under the supervision of senior analysts and may contribute to policy recommendations and briefings.

What does an entry level policy analyst do?

As an entry-level policy analyst, you study and analyze how laws and regulations can affect public policy. A significant amount of these jobs involve working with the federal government. Your responsibilities include analyzing information surrounding laws and regulations, evaluating how they affect the public, and creating written presentations about your findings. Your duties may also include either writing or assessing a proposal for new laws and regulations.

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

To thrive as an Entry Level Policy Analyst, you need strong research, analytical, and written communication skills, typically supported by a bachelor’s degree in public policy, political science, economics, or a related field. Familiarity with data analysis tools like Excel, policy analysis software, and experience with legislative tracking systems are common technical requirements. Critical thinking, attention to detail, and the ability to clearly present complex information make candidates stand out in this role. These skills ensure well-informed policy recommendations, effective communication with stakeholders, and contribute to successful policy development and evaluation.

What are some common challenges faced by entry level policy analysts when transitioning from academic studies to a professional policy environment?

Entry level policy analysts often find the transition from academia to the workplace challenging due to the fast-paced nature of policy work and the need to produce concise, actionable briefings for decision-makers. Unlike academic research, which can be in-depth and theoretical, professional policy analysis requires synthesizing information quickly, meeting tight deadlines, and clearly communicating complex ideas to non-expert audiences. Collaborating with more experienced colleagues and adapting to shifting priorities within a policy team are also common aspects new analysts must learn to navigate. Support from mentors and proactive engagement in team discussions can ease this transition.

What is the difference between Entry Level Policy Analyst vs Policy Associate?

AspectEntry Level Policy AnalystPolicy Associate
Required CredentialsBachelor's degree in public policy, political science, or related fieldBachelor's degree, often with some experience or internship in policy work
Work EnvironmentGovernment agencies, think tanks, NGOs, consulting firmsNonprofits, government offices, research organizations
Employer & Industry UsageCommonly used in public sector and policy researchUsed across similar sectors, often interchangeable with policy analyst roles
Search & Comparison IntentPeople looking for entry-level policy research rolesIndividuals exploring similar entry-level policy positions

Both roles typically require a bachelor's degree and involve policy research, analysis, and reporting. The main difference lies in job titles used by employers; 'Policy Associate' may sometimes imply a slightly broader or different organizational context, but both are entry-level roles focused on policy analysis and research.

How do you become an entry level policy analyst with no experience?

To become an entry level policy analyst with no experience, candidates should focus on obtaining a relevant bachelor's degree in political science, public policy, or a related field. Gaining skills in research, data analysis, and policy writing through internships, volunteer work, or coursework can improve prospects; familiarity with tools like Excel or statistical software is also beneficial.

How hard is it to get a job as an entry level policy analyst?

Securing an entry level policy analyst position typically requires a relevant bachelor's degree in public policy, political science, or a related field, along with strong research and analytical skills. Competition can be moderate, and internships or related experience can improve chances of hiring. Familiarity with policy analysis tools and good communication skills are also beneficial.

Is an entry level policy analyst in demand?

Entry level policy analysts are in demand as governments, non-profits, and private organizations seek professionals to evaluate and develop policies. The role often requires strong research, analytical skills, and familiarity with data analysis tools, making it a stable entry point in the policy field.

What qualifications are needed to be an entry level policy analyst?

Entry level policy analysts typically need a bachelor's degree in public policy, political science, economics, or a related field. Strong analytical, research, and communication skills are essential, and familiarity with data analysis tools or software can be advantageous.

What are the most commonly searched types of Policy Analyst jobs in Springfield, MA?

The most popular types of Policy Analyst jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Entry Level Policy Analyst jobs?

Cities near Springfield, MA with the most Entry Level Policy Analyst job openings:

Infographic showing various Entry Level Policy Analyst job openings in Springfield, MA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $100,596 per year, or $48.4 per hour.

AI & GenAI Data Scientist - Manager

Hartford, CT • On-site

Pwc
Finance and Insurance • 10K+ employees

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

The Opportunity
As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Manager, you will enhance your leadership style by motivating, developing, and inspiring others to deliver quality. You will be responsible for coaching, leveraging team members' unique strengths, and managing performance to meet client expectations. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.
In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will also identify opportunities that contribute to the success of our firm, embracing technology and innovation to enhance your delivery and encouraging others to do the same.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Leading teams in the development of scalable machine learning models and solutions
- Managing complex data analysis and integration to support AI-driven initiatives
- Utilizing programming languages such as Python and Java to enhance AI model deployment
- Overseeing the creation and maintenance of data pipelines and infrastructure
- Applying deep learning techniques and neural networks to improve predictive analytics
- Collaborating with stakeholders to address data challenges and optimize AI applications
- Mentoring team members to develop skills in AI implementation and data engineering
- Validating data quality and compliance within AI frameworks
- Encouraging innovation and embracing change to drive business growth through AI solutions
What You Must Have
- At least a Bachelor's degree
- At least 6 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing complex data analysis and data modeling techniques
- Excelling in coaching and mentoring team members
- Embracing change and innovation in technology consulting
- Developing skills in neural networks and natural language processing

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. 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.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK