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Entry Level Data Analysis Jobs in Boston, MA (NOW HIRING)

Bracebridge Capital

Machine Learning Analyst

Boston, MA

$110K - $145K/yr

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 ...

Bracebridge Capital

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

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 ...

Babel Street

Data Warehouse Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

We deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data ... This is an entry-level position perfect for a self-starter who possesses strong foundational SQL ...

Babel Street

Data Warehouse Software Engineer

Somerville, MA

$125K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This is an entry-level position perfect for a self-starter who possesses strong foundational SQL ... Partner with analysts and business stakeholders to understand their data and reporting needs ...

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 ...

Magnite

Associate Product Manager, Traffic Shaping

Boston, MA · Hybrid

$95K - $105K/yr

  • Medical

  • Life

  • Retirement

A recent graduate, or someone with ~1-2 years of experience in an analytical or technical role (e.g., analyst, entry-level data scientist, or engineer) who is looking to move into product. We care ...

Magnite

Associate Product Manager, Traffic Shaping

Boston, MA · On-site

$95K - $105K/yr

  • Medical

  • Life

  • Retirement

A recent graduate, or someone with ~1-2 years of experience in an analytical or technical role (e.g., analyst, entry-level data scientist, or engineer) who is looking to move into product. We care ...

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 ...

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 ...

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All JobsData Analysis JobsEntry Level Data Analysis JobsEntry Level Data Analysis Jobs in Boston, MA

Entry Level Data Analysis information

See Boston, MA salary details

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

As of Aug 15, 2026, the average hourly pay for entry level data analysis in Boston, MA is $35.77, according to ZipRecruiter salary data. Most workers in this role earn between $22.98 and $39.95 per hour, depending on experience, location, and employer.

What are some common challenges entry-level data analysts face when starting out, and how can they overcome them?

Entry-level data analysts often encounter challenges such as learning new data tools, understanding unfamiliar datasets, and translating business questions into analytical tasks. It's common to feel overwhelmed by the variety of software (like Excel, SQL, or Python) and the pace of real-world projects. To overcome these hurdles, new analysts should proactively seek mentorship, participate in team discussions, and take advantage of online resources or internal training. Regular collaboration with colleagues and asking clarifying questions can help build confidence and ensure successful project contributions.

What is an entry level data analyst?

An entry level data analyst is a professional who collects, processes, and performs basic analysis on data to help organizations make informed decisions. They typically work with tools like Excel, SQL, or data visualization software to organize and interpret data sets. Entry level analysts focus on tasks such as cleaning data, creating reports, and identifying trends, usually under the supervision of more experienced analysts. This role is ideal for recent graduates or individuals starting their career in data analysis.

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 foundational knowledge in statistics, data interpretation, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you extract meaningful insights and present findings effectively. These skills are crucial for transforming raw data into actionable information that supports informed business decisions.

What is the difference between Entry Level Data Analysis vs Data Analyst?

AspectEntry Level Data AnalysisData Analyst
Required CredentialsAssociate's degree or relevant certificationBachelor's degree often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time positions in various industries
Employer & Industry UsageStart of career, learning phaseMid-level roles, more responsibilities
Common Search & Comparison IntentUnderstanding entry-level opportunitiesAdvancement and skill development

Entry Level Data Analysis roles are designed for beginners with minimal experience, focusing on learning foundational skills. Data Analysts typically have more experience, handle complex data projects, and contribute to strategic decision-making. The main difference lies in experience level, responsibilities, and career progression.

What are the most commonly searched types of Data Analysis jobs in Boston, MA?

The most popular types of Data Analysis jobs in Boston, MA are:

What are popular job titles related to Entry Level Data Analysis jobs in Boston, MA?

For Entry Level Data Analysis jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analysis jobs in Boston, MA look for?

The top searched job categories for Entry Level Data Analysis jobs in Boston, MA are:

What cities near Boston, MA are hiring for Entry Level Data Analysis jobs?

Cities near Boston, MA with the most Entry Level Data Analysis job openings:

Entry Level Data Analysis jobs near you
Infographic showing various Entry Level Data Analysis job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $74,405 per year, or $35.8 per hour.

Machine Learning Analyst

Bracebridge Capital

Boston, MA

$110K - $145K/yr

Full-time

Re-posted yesterday

Job description

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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