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

Bracebridge Capital

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning team. The team's primary mission is to develop machine learning systems to answer open-ended ...

VHB

Entry Level Traffic Engineer

Boston, MA · Hybrid

$80K - $83K/yr

Overview ABOUT THE POSITION VHB's Boston, MA or Watertown, MA office is looking for an Entry-Level ... Safety studies and data analysis * Active transportation assessments * Transportation planning and ...

VHB

Entry Level Traffic Engineer

Watertown, MA · Hybrid

$80K - $83K/yr

Overview ABOUT THE POSITION VHB's Boston, MA or Watertown, MA office is looking for an Entry-Level ... Safety studies and data analysis * Active transportation assessments * Transportation planning and ...

VHB

Entry Level Traffic Engineer

Watertown, MA · Hybrid

$80K - $83K/yr

Overview ABOUT THE POSITION VHB's Boston, MA or Watertown, MA office is looking for an Entry-Level ... Safety studies and data analysis * Active transportation assessments * Transportation planning and ...

VHB

Entry Level Traffic Engineer

Boston, MA · Hybrid

$80K - $83K/yr

Overview ABOUT THE POSITION VHB's Boston, MA or Watertown, MA office is looking for an Entry-Level ... Safety studies and data analysis * Active transportation assessments * Transportation planning and ...

Amaris Consulting

Senior Data Engineer

Cambridge, MA · On-site

$115K - $157K/yr

Retrieve, explore, and analyze data stored in Amazon S3 using AWS Athena and Amazon SageMaker ... entry level * A strong training system with our internal Academy and more than 250 modules ...

Pwc

AIT - AI Data Scientist Senior Associate

Boston, MA

$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 ...

American Income Life

Entry Level Sales

Boston, MA · Remote

$37K - $51K/yr

Role Description This is a full-time remote role for an Entry Level Growth Management position ... The role will involve day-to-day tasks such as analyzing data, implementing growth hacking ...

American Income Life

Entry Level Sales

Boston, MA · On-site +1

$40K - $54K/yr

Role Description This is a full-time remote role for an Entry Level Growth Management position ... The role will involve day-to-day tasks such as analyzing data, implementing growth hacking ...

Addison Group

Entry Level Accounting Clerk

Providence, RI · On-site

$25 - $30/hr

Job Title: Entry Level Accounting Clerk Industry: Finance & Accounting Location: Pawtucket, RI ... Support aging analysis and identify discrepancies across customer accounts * Perform data scrubbing ...

American Income Life

Entry Level Sales Leader

Boston, MA · On-site +1

$40K - $54K/yr

Requirements This is a full-time remote role for an Entry Level Growth Management position ... The role will involve day-to-day tasks such as analyzing data, implementing growth hacking ...

New

American Income Life

Entry Level Sales Leader

Boston, MA · Remote

$37K - $51K/yr

Requirements This is a full-time remote role for an Entry Level Growth Management position ... The role will involve day-to-day tasks such as analyzing data, implementing growth hacking ...

New

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

Entry Level Data Analyst information

See Walpole, MA salary details

$14

$35

$67

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

As of Aug 7, 2026, the average hourly pay for entry level data analyst in Walpole, MA is $35.90, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $40.10 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 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 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 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.
More about Entry Level Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Walpole, MA? The most popular types of Data Analyst jobs in Walpole, MA are:
What cities near Walpole, MA are hiring for Entry Level Data Analyst jobs? Cities near Walpole, 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 Walpole, MA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $74,672 per year, or $35.9 per hour.

Machine Learning Analyst

Bracebridge Capital

Boston, MA • On-site

$110K - $145K/yr

Full-time

Posted 23 days ago

Job description

Bracebridge Capital, LLC is a leading alternative asset manager with approximately $12 billion of net assets under management. The firm pursues investment strategies primarily within the global fixed income markets with the objectives of capital preservation and absolute return without significant correlation to equity, interest rate and foreign exchange markets. Established in 1994, Bracebridge manages private investment funds that serve endowments, foundations, pension funds and other institutional and high-net-worth investors.
Approximately 170 employees operate from our office located in Boston's historic Back Bay. The entrepreneurial and collaborative culture at Bracebridge rewards and supports motivated, dedicated, enthusiastic and intellectually curious individuals. We believe our firm's greatest asset is the people who work here.
We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning team. The team's primary mission is to develop machine learning systems to answer open-ended investment questions and support portfolio management decisions. The team works across the project lifecycle and technical stack, from ideation, understanding and analyzing data, hypothesis generation and testing, and model development all the way through to the deployment and maintenance of models and systems in production. Our work spans statistical modeling, classical machine learning, and modern AI and LLM techniques.
The Machine Learning Analyst's primary responsibility will be to contribute to these efforts alongside other team members. Over time, you will develop the technical and domain expertise needed to take increasing ownership of individual components and ultimately end-to-end projects.
The work is highly collaborative and spans quantitative research, software engineering, and machine learning. Analysts work with other members of the machine learning team and portfolio managers to translate loosely defined investment ideas into practical tools and models. Successful candidates will have solid programming foundations, be comfortable translating between qualitative and quantitative descriptions of problems and be excited to build data analysis and machine learning systems against the backdrop of portfolio management.
Since the team works closely with trading floor personnel to assist with portfolio management decision-making, an interest in economic and financial markets is essential, but no specific prior experience is necessary.
This role is open to candidates available to begin in the near term, as well as students expecting to complete their undergraduate degree between Fall 2026 and Summer 2027. Start dates will be determined based on candidate availability and, for students, degree completion.
Responsibilities:
  • Collaborate closely with Machine Learning team members, portfolio managers, and researchers to translate open-ended investment questions into well-defined analytical and machine learning problems
  • Develop and evaluate data-driven machine learning and quantitative models, including simulation- and optimization-based approaches, for investment-related problems
  • Contribute to maintaining existing models and analytic tools in production
  • Over time, take ownership of individual features and components and full projects
  • Clearly document and communicate methods, assumptions, results, and limitations of models to other researchers and trading professionals across the firm
  • Stay current with relevant new techniques and technologies in machine learning and artificial intelligence, particularly as they pertain to finance and investing

Qualifications:
  • Bachelor's degree (or equivalent) in a rigorous quantitative field
  • 0-2 years of experience through industry internships, undergraduate research or thesis, or substantial independent technical projects involving software development, data analysis, or machine learning
  • Proficiency in Python and familiarity with the Python data science stack (NumPy, SciPy, Pandas, scikit-learn, etc), with experience in other languages a plus
  • Experience working with and analyzing data from multiple sources and in multiple formats
  • Familiarity with machine learning and statistical modeling fundamentals, including model evaluation and experimental design
  • Demonstrated ability to independently scope and execute open-ended technical projects
  • Interest in financial markets, intellectual curiosity, and comfort in working on open-ended problems
  • Strong written and verbal communication skills

Current anticipated annual base salary range: $110,000 - $145,000
Base salary within the range will be determined by various factors including but not limited to the individual's experience, skills and qualifications.

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