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Data Analytics Associate Jobs in Boston, MA (NOW HIRING)

Associate Data Analyst

Boston, MA · On-site

$72K - $90K/yr

We are seeking a data analyst with a minimum of three years' experience to clean, structure and process data from primary market research. An understanding of quantitative marketing research ...

Safety Data Analyst

Boston, MA · On-site

$36 - $41/hr

A bachelor's degree; an associate degree or high school diploma or GED with equivalent experience may be a substitute for a bachelor's degree. * 2+ years of experience in data analytics, technical ...

Showing results 41-60

Data Analytics Associate information

See Boston, MA salary details

$3.5K

$6.8K

$9.8K

How much do data analytics associate jobs pay per month?

As of Sep 2, 2026, the average monthly pay for data analytics associate in Boston, MA is $6,833.75, according to ZipRecruiter salary data. Most workers in this role earn between $6,200.00 and $7,283.33 per month, depending on experience, location, and employer.

What does a data analytics associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

What are the key skills and qualifications needed to thrive as a data analytics associate?

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.

How does a data analytics associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

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

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

Infographic showing various Data Analytics Associate job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $82,010 per year, or $39.4 per hour.

$70 - $95/hr

Other

Posted 14 days ago


Job description

Job Description Summary

Reporting to the Associate Provost for Student Success, the Student Success Data Analyst provides data analysis to support data-informed decision making within the Office of Student Success and the division of Academic Affairs. The analyst will perform descriptive analyses to identify inequalities in the student experience and institutional performance gaps; they will perform diagnostic analyses to lead the team to deeper understanding of the student experience; they will also perform predictive and prescriptive analyses to help the student success team design and implement interventions to increase student success. The ideal candidate possesses the technical and mathematical skills to mine, analyze, and visualize complex data sets and the communication skills to translate numbers into narratives that inspire campus partners and drive data-informed action across the university.

Essential Duties and Responsibilities:
  • Collect, analyze, and communicate student success data consistently and in real time, including quarterly, biannual, and annual reporting.
  • Compare real time data to historical data to identify trends and/or changes in student success indicators.
  • Partner with colleagues across campus, including in Enrollment Management, Student Affairs, Academic Affairs, and Advancement to compare student success indicators to pre-university inputs and post-university outputs.
  • Partner with colleagues in Information Technologies in support of the university’s enterprise-wide data analytics and data governance projects.
  • Analyze students’ academic performance in comparison to non-academic data points to paint a holistic picture of the overall student experience.
  • Build and maintain student success data dashboards and design and facilitate training to campus partners on how to use those dashboards.
  • Partner with IT to serve as a leader within Academic Affairs for modernizing data management, data governance, and data literacy of student success key performance indicators (KPIs).
  • Run reports and analyses of data within Navigate 360 for the Office of Student Success and support campus partners who use the platform in running their own reports and analyses.
  • Provide ongoing qualitative and quantitative data collection and analysis of various student success programs, including the Falcon Discovery Seminar, the Honors program, Academic Integrity, and FirstGen Presidential Fellows.
  • Communicate data analysis to various university audiences through data visualization, oral presentations, dashboards, and written reports.
  • Collaborate with the Academic Technologies Center on faculty and student use of the learning management system to improve the learning experience within that environment and make it more equitable.
  • Partner with the associate provost for student success to tell stories with data that measure the impact community members’ engagement with students has on student success indicators and their educational experience, with a particular emphasis on faculty engagement.
  • Serve as a thought-leader and role model within the Office of Student Success relative to leveraging generative artificial intelligence to enhance business processes and deepen analytic insights.
Minimum Qualifications:
  • Bachelor’s degree with a minimum of three years’ work experience.
  • Demonstrated experience in data mining, hygiene, and analysis.
  • Excellent data visualization, oral presentation, and written communication skills.
  • Strong interpersonal, critical thinking, problem solving, and organizational skills.
  • Experience with a variety of technology used in higher education (e.g. Workday Student, Banner, People Soft, Slate, Navigate 360, degree audit programs, learning management systems, etc.), Microsoft Excel, and Power BI.
  • Ability to explain data and corresponding analyses to a variety of constituencies who may have a limited understanding of data analysis and technology.
  • Commitment to diversity, equity, and inclusion and to using data to close equity gaps and increase inclusion amongst different demographic populations.
  • Demonstrated ability to prioritize and manage multiple projects at the same time and meet deadlines.
Preferred Qualifications:
  • Experience working in Higher Education.
  • Experience using D2L Brightspace or other learning management systems.
  • Experience using Power BI.
  • Ability to create real time business specific dashboards that provide actionable information.
  • Experience using data to drive decisions that close equity gaps and increase inclusion amongst different demographic populations.
Work Environment:
  • Typical office setting with extensive sitting and computer work. Regular in-person meetings and presentations with the option of flexible work-from-home capability when needed or appropriate.
  • Ability to travel around campus for meetings and other work-related events.

Bentley University requires reference checks and may conduct other pre-employment screening.

DIVERSITY STATEMENT

Bentley University strives to create a campus community that welcomes the exchange of ideas, and fosters a culture that values differences and views them as a strength in our community.

Bentley University is an Equal Opportunity Employer, building strength through diversity. The University is committed to building a community of talented students, faculty and staff who reflect the diversity of global business. We strongly encourage applications from persons from underrepresented groups, individuals with disabilities, covered veterans and those with diverse experiences and backgrounds.

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