ZipRecruiter

Log In

1

Data Analytics Jobs in Boston, MA (NOW HIRING)

Symbotic

Staff AI Data Analytics Engineer

Wilmington, MA · On-site

$149 - $205/hr

Analyze data to identify trends, risks, inefficiencies, and performance gaps, then translate findings into clear recommendations and next steps.Proactively seek out answers, challenge assumptions ...

Workiva

Spring 2027 Intern - Data Analytics

Cambridge, MA · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

Spring 2027 Intern - Data Analytics

Lowell, MA · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

Spring 2027 Intern - Data Analytics

Brockton, MA · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

Spring 2027 Intern - Data Analytics

Cambridge, MA · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

previous page

Showing results 41-60

All JobsData Analytics JobsData Analytics Jobs in Boston, MA

Data Analytics information

See Boston, MA salary details

$26

$59

$102

How much do data analytics jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data analytics in Boston, MA is $59.48, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $67.36 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

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

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

What are popular job titles related to Data Analytics jobs in Boston, MA?

For Data Analytics jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Data Analytics jobs in Boston, MA look for?

The top searched job categories for Data Analytics jobs in Boston, MA are:

What cities near Boston, MA are hiring for Data Analytics jobs?

Cities near Boston, MA with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $123,705 per year, or $59.5 per hour.

Domain Lead - Data Analytics

America CyberSystem

Framingham, MA • On-site

Contractor

Re-posted yesterday

Job description

Company Description
ACS delivers information technology solutions, staffing and workforce management services to global Fortune 1000 companies, across various industry vertical marketplaces. In just over a decade, ACS has grown to over $500 Million in sales revenue, 6500 employees working on a global basis for over half of the Fortune 125. visit our web http://www.acsicorp.com/
Job Description
In the role of Domain Lead, you will focus on operations management, provide inputs for implementation of new solutions, support Delivery Lead and Practice in the sales cycle with Due Diligence activities, manage client satisfaction with the objective of improving account penetration in the Domain within the norms and guidelines of Infosys
In this role, you will be responsible for contracting and agreement, quality planning, people management, operations management, strategy and roadmap definitions (domain), initiatives at the unit level.
Qualifications:
  • Bachelor's Degree in any career stream
  • At least 7 years of experience in BPO sector

Qualifications
  • Marketing analytics experience specifically around customer analytics
  • Experience with SQL, Tableau, SAS/R, SAS MA, etc.
  • Experience in a client facing position
  • Ability to work independently as a self-starter
  • Previous experience working with both onshore and offshore teams
  • Professional communication Skills
  • Analytical skills

Additional Information
All your information will be kept confidential according to EEO guidelines.

Apply