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Entry Level Data Analyst Jobs in Springfield, MA

... data analysis, and other reasoning exercises related to finance management A current, in progress ... This is an independent contract position. #finance Seniority level Entry level Employment type ...

Drew.Schroll@RobertHalf com. **Entry level candidates will be considered** *Must have experience ... Responsibilities: • Maintain accurate real estate records and operational data to support ...

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.

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Entry Level Data Analyst information

See Springfield, MA salary details

$13

$32

$61

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

As of May 29, 2026, the average hourly pay for entry level data analyst 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 Does an Entry Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

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.

What are the most commonly searched types of Data Analyst jobs in Springfield, MA? The most popular types of Data Analyst jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Entry Level Data Analyst jobs? Cities near Springfield, MA with the most Entry Level Data Analyst job openings:
Infographic showing various Entry Level Data Analyst job openings in Springfield, MA as of May 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $68,248 per year, or $32.8 per hour.

Entry level Java spring boot developer/ data scientist

Synergistic it

Hartford, CT • On-site, Remote

Other

Posted 24 days ago


Job description

“Ghosted by companies and/or No/Failing Interviews? Lost in the Applicant Pile? Start getting offers” - Get Hired with a Process which Works !

Many job seekers assume the tech market has shut down, but the truth is companies are still hiring — they’re just being more selective. Employers want candidates who demonstrate practical skills, confidence, and readiness. That means only the most prepared, polished, and employer‑ready candidates get through.

Getting hired in tech isn’t just about knowing how to code — it’s about proving you can deliver value from day one. If you’re getting interviews but not offers, you’re closer than you think—yet that final gap can feel brutal. Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds.

The result is painful: “almost hired” over and over again, while the confidence drops. The truth is that interviewing is its own skill , and Colleges don’t teach it. They teach how to code—but not how to think out loud, structure answers, debug in real time, defend trade-offs, and communicate like an engineer .

Since 2010, SynergisticIT has helped candidates land full-time roles with many major employers. The best way to understand this: you can be smart and still fail interviews if you don’t know what the interview is truly measuring. Interviews rarely test “can you write code at home.” They test: Can you solve problems under constraints and time pressure?

Can you communicate your approach clearly? Can you handle edge cases and complexity? Can you explain trade-offs and design choices?

Can you show job-ready project depth, not just toy examples? SynergisticIT focuses on roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning Engineers . The focus areas include Java / Full Stack / DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI , because those are the roles employers continue to hire for.

If your pattern is “I reach interviews but don’t clear them,” you likely need three upgrades: Stronger project narratives (what you built, why it matters, how it works) Stronger technical foundations (DSA, OOP, APIs, SQL, pipeline design) Mock interview reps (realistic simulation, feedback, improvement loops) Many jobseekers underestimate how much hiring is about clarity. You don’t need to be perfect—you need to show you can think, collaborate, and deliver. That’s why guided mock interviews and structured interview coaching can be a game-changer.

Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Ideal candidates for this version include: Candidates who get interviews but repeatedly fall short Jobseekers stuck in “screen round limbo” Developers who panic during live coding Candidates who can build projects but struggle to explain them Professionals who haven’t interviewed in years and feel rusty Career changers who fear “I’m behind CS grads” (often untrue with support) SynergisticIT provides support for candidates navigating STEM OPT extension, H1B filing, and Green Card processes (where applicable), which can matter when timing is critical. If you’re tired of failing interviews and want a structured plan to convert interviews into offers, start here: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact Us https://www.synergisticit.com/contact-us/ Because getting hired isn’t about trying harder—it’s about preparing smarter, practicing correctly, and having the right guidance.

Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.

Work with java based application Perform application development for custom applications Designing and developing for enterprise class application using java technologies Enhancing existing java web applications Integrate application business layer with external application components Provide production support web applications Implement innovative web/software development technologies Using a variety of java based technologies Augment the application development team Manage the application development team Develop mobile applications and application interfaces Do analysis, design and hands on java development Develop software applications in client/server environment and/or web deployed applications Understand application requirements and develop software solutions Conduct testing on other developer's code Supporting an enterprise business application Develop web services components for cross-application solutions Implement complex web and database applications Develop and maintain web applications using C, (WPF, MVC, WCF, ASP) Develop components of multitier web application