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Entry Level Data Analyst Fintech Jobs in Springfield, MA

Pwc

AI & GenAI Data Scientist - Manager

Hartford, CT · On-site

$99K - $232K/yr

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 ...

HUB

Accounting Analyst

Agawam, MA

$59K - $78K/yr

Role Overview The Accounting Analyst is an entry-level position supporting VIU by HUB's Financial ... Enter and maintain financial and policy data across systems with a focus on accuracy and ...

HUB International Limited

Accounting Analyst

Agawam, MA

$59K - $78K/yr

Role Overview The Accounting Analyst is an entry-level position supporting VIU by HUB's Financial ... Enter and maintain financial and policy data across systems with a focus on accuracy and ...

Deloitte

QA Senior Analyst

Hartford, CT

Gather, analyze, and document business and data requirements through client engagement and Joint ... Professional development From entry-level employees to senior leaders, we believe there's always ...

Pwc

Data Engineer - Senior Associate

Hartford, CT

$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 ...

SynergisticIT

AI/ML Engineer

West Springfield, MA · On-site

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time ...

RTX

Procurement Analyst (Hybrid)

Hartford, CT · On-site

A key component of the role is to assess data, support RFx events, setup suppliers, work in our ... What You Will Do: * Entry-level Procurement professional. * Carries out processes, standards, and ...

Nextiny

Entry Level Digital Marketer

Hartford, CT · On-site

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

Nextiny

Entry Level Digital Marketer

Springfield, MA · On-site

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

SPECTRUM

Entry Level Sales

Chicopee, MA · On-site

$100K/yr

... speed data and communication solutions. Your efforts will drive meaningful connections and ... Conduct consultative needs analyses to tailor product recommendations for each prospective customer

Salas O'Brien

Entry-level Civil Engineer

Bloomfield, CT · Hybrid

$75K - $80K/yr

Our specialized experience includes design for data centers, healthcare, science and technology ... Applicants must have a working knowledge of Civil analysis and design software (specifically Civil ...

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All JobsEntry Level Data Analyst Fintech JobsEntry Level Data Analyst Fintech Jobs in Springfield, MA

Entry Level Data Analyst Fintech information

See Springfield, MA salary details

$13

$32

$61

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

As of Jun 23, 2026, the average hourly pay for entry level data analyst fintech in Springfield, MA is $32.81, according to ZipRecruiter salary data. Most workers in this role earn between $21.06 and $36.63 per hour, depending on experience, location, and employer.

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

AspectEntry Level Data Analyst FintechEntry Level Data Scientist Fintech
Required CredentialsBachelor's in Data, Finance, or related field; basic SQL and Excel skillsBachelor's in Data Science, Statistics, or related; programming skills in Python/R; some certifications
Work EnvironmentData analysis teams within fintech companies, focusing on reporting and dashboardsData science teams, working on predictive models and advanced analytics
Employer & Industry UsageCommon in fintech firms for operational insightsLess common at entry level, more in research and development roles

Entry Level Data Analyst Fintech roles focus on interpreting data, creating reports, and supporting decision-making with basic analytics. Entry Level Data Scientist Fintech positions involve more advanced statistical modeling and programming. While both roles require a strong foundation in data concepts, data scientists typically need additional technical skills and certifications. The analyst role is more accessible for beginners, whereas data scientist roles are more specialized and technical.

What does a fintech data analyst do?

A fintech data analyst collects, processes, and analyzes financial data to identify trends, support decision-making, and improve financial products or services. They often use tools like Excel, SQL, and data visualization software, and require strong analytical skills and understanding of financial concepts. The role involves working with large datasets in a fast-paced environment to help fintech companies optimize their operations and offerings.

Can I be a data analyst with no experience?

Entry level data analyst roles in fintech often do not require prior professional experience, but candidates typically need strong analytical skills, knowledge of tools like Excel or SQL, and a willingness to learn. Gaining relevant certifications or completing projects can improve chances of securing such positions. Employers may also value related coursework or internships that demonstrate data handling abilities.

What does an entry level data analyst do in the fintech industry?

An entry level data analyst in fintech is responsible for collecting, cleaning, and interpreting data related to financial products and services. Their work typically involves analyzing large datasets to identify trends, support business decisions, and improve financial products. They may also create dashboards or reports to visualize data findings for other teams. Additionally, entry level analysts often collaborate with engineers, product managers, and senior analysts to ensure data accuracy and relevance. This role provides a strong foundation in both data analysis and the unique challenges of the financial technology sector.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst in Fintech, and why are they important?

To thrive as an Entry Level Data Analyst in Fintech, you need strong analytical skills, a solid grasp of statistics, and a degree in a related field such as mathematics, finance, or computer science. Familiarity with data analysis tools like SQL, Python, and Excel, as well as financial data platforms, is typically expected. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting data and sharing insights with stakeholders. These skills are important for accurately analyzing complex financial data, driving data-driven decisions, and supporting the company's strategic goals.

What are some typical projects or tasks that an entry level data analyst in a fintech company might work on?

As an entry level data analyst in fintech, you’ll often assist with tasks such as cleaning and preparing large financial datasets, creating basic reports and dashboards, and supporting more senior analysts with ad-hoc data requests. You may also help monitor transaction trends for fraud detection, contribute to customer segmentation projects, and automate routine data processes. Collaboration with product, engineering, and compliance teams is common, and you’ll gain valuable exposure to the fast-paced, data-driven decision-making environment typical of fintech companies.

Is 40 too late for data science?

For an entry level data analyst in fintech, starting a career at 40 is possible, especially with relevant skills like SQL, Excel, and data visualization tools. Many professionals transition into data roles later in life, and continuous learning or certifications can help improve job prospects regardless of age.

How to get a job in fintech with no experience?

Entry-level data analyst roles in fintech often require strong analytical skills, proficiency in tools like Excel or SQL, and a basic understanding of financial concepts. Gaining relevant certifications, such as data analysis or finance courses, and building a portfolio of projects can improve your chances despite limited experience.
What are popular job titles related to Entry Level Data Analyst Fintech jobs in Springfield, MA? For Entry Level Data Analyst Fintech jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst Fintech jobs in Springfield, MA look for? The top searched job categories for Entry Level Data Analyst Fintech jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Entry Level Data Analyst Fintech jobs? Cities near Springfield, MA with the most Entry Level Data Analyst Fintech job openings:
Entry Level Data Analyst Fintech jobs near you
Infographic showing various Entry Level Data Analyst Fintech job openings in Springfield, MA as of June 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $68,248 per year, or $32.8 per hour.
AI & GenAI Data Scientist - Manager

AI & GenAI Data Scientist - Manager

Pwc

Hartford, CT • On-site

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

PwC rating

8.4

Company rating: 8.4 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

19th of 57 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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