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Data Analytics Graduate Jobs in Providence, RI (NOW HIRING)

GRE Tutor

Providence, RI · Remote

$23 - $40/hr

... data analysis), and Analytical Writing (issue and argument essays). Ability to explain adaptive scoring, section-level strategy, and graduate school score requirements across disciplines. * Strategic ...

Research Assistant

Providence, RI · On-site

$41K - $68K/yr

This position exists to advance ongoing funded research by analyzing experimental and clinical data ... graduate study. Experience should include hands-on work with cell culture techniques, basic ...

Research Assistant

Providence, RI · On-site

$41K - $68K/yr

This position exists to advance ongoing funded research by analyzing experimental and clinical data ... graduate study. Experience should include hands-on work with cell culture techniques, basic ...

... graduate-level study. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ... Adapts instruction using worked problems, graphing exercises, and current economic data analysis to ...

Showing results 21-40

Data Analytics Graduate information

See Providence, RI salary details

$24

$55

$95

How much do data analytics graduate jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data analytics graduate in Providence, RI is $55.31, according to ZipRecruiter salary data. Most workers in this role earn between $44.42 and $62.64 per hour, depending on experience, location, and employer.

What is a data analytics graduate?

A Data Analytics Graduate job is an entry-level role designed for recent graduates with a background in data science, statistics, or related fields. It typically involves collecting, cleaning, analyzing, and visualizing data to help organizations make data-driven decisions. Graduates in this role may work with tools like SQL, Python, Excel, and data visualization software to interpret trends and patterns. They often collaborate with different departments to provide insights that optimize business processes. This role serves as a foundation for more advanced positions in data analytics or data science.

What are typical career paths or growth opportunities for a data analytics graduate?

As a Data Analytics Graduate, you often start by supporting more senior analysts with data preparation, exploratory analysis, and report generation. Over time, you can advance to positions such as Data Analyst, Business Intelligence Analyst, or Data Scientist, depending on your interests and ongoing skill development. Many organizations encourage further training and offer mentorship to help you specialize in areas like machine learning, data engineering, or domain-focused analytics. With experience and demonstrated impact, leadership roles such as Analytics Manager or Team Lead become attainable, providing broader responsibilities and strategic input into organizational decision-making.

What are the key skills and qualifications needed to thrive in the data analytics graduate position, and why are they important?

To thrive as a Data Analytics Graduate, you need a solid understanding of statistics, data modeling, and analytical techniques, usually supported by a relevant degree in mathematics, statistics, computer science, or a related field. Familiarity with tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is highly valued, and certifications in these can provide an added advantage. Strong problem-solving abilities, attention to detail, and effective communication skills help you distill complex data sets into actionable insights and present findings to diverse stakeholders. These skills are essential for delivering data-driven solutions that support business decisions and foster organizational growth.

Is a master's degree in data analytics worth it?

For a data analytics graduate, a master's degree can enhance technical skills such as statistical analysis and data visualization, potentially leading to higher-level roles and increased salary. However, practical experience, certifications, and proficiency with tools like SQL and Python are also highly valued in the field and can sometimes substitute for advanced degrees. The decision depends on career goals and the specific requirements of employers in the industry.

What can I do with a master's degree in data analytics?

A master's degree in data analytics prepares graduates for roles such as data analyst, data scientist, or business intelligence analyst, involving skills in statistical analysis, data visualization, and programming with tools like SQL, Python, or R. These roles typically require strong analytical thinking, familiarity with data management, and the ability to interpret complex data to support decision-making.

What kind of jobs can I get with a degree in data analytics?

A degree in data analytics qualifies you for roles such as data analyst, business analyst, data scientist, and operations analyst. These positions involve analyzing data sets, creating reports, and supporting decision-making using tools like Excel, SQL, and visualization software. Strong analytical skills and knowledge of statistical methods are essential for these jobs.

What are the most commonly searched types of Data Analytics Graduate jobs in Providence, RI?

The most popular types of Data Analytics Graduate jobs in Providence, RI are:

What are popular job titles related to Data Analytics Graduate jobs in Providence, RI?

For Data Analytics Graduate jobs in Providence, RI, the most frequently searched job titles are:

Infographic showing various Data Analytics Graduate job openings in Providence, RI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $115,038 per year, or $55.3 per hour.

Postdoctoral Research Associate in Biostatistics for Real-World Data - PH 353

Brown University

Providence, RI • On-site

Full-time

Re-posted 1 hour ago


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Job description

Description
Dr. Rebecca Hubbard, Professor of Biostatistics and Data Science at Brown University, invites applications for a postdoctoral research associate with interests in developing and applying statistical and data science methods to address important questions in health and healthcare. The position will involve conducting research using large-scale healthcare-derived data sources, including electronic health records, medical claims, registries, and clinical trial data. The postdoctoral associate will work closely with Dr. Hubbard on a broad portfolio of methodological and applied research projects spanning cancer prevention and survivorship, methods for evidence generation with real-world data, clinical risk prediction, and evaluation of artificial intelligence tools in healthcare. Relevant methodological areas include causal inference, missing data, measurement error and outcome misclassification, informative observation processes, algorithmic fairness, and machine learning.
In addition to pursuing independent research, the postdoctoral associate will contribute to multiple ongoing collaborative projects, participate in manuscript and grant development, and contribute to mentorship for junior trainees. The successful candidate will be interested in addressing complex real-world problems through a combination of methodological innovation, rigorous data analysis, and interdisciplinary collaboration. The position provides an outstanding opportunity for individuals seeking careers at the intersection of biostatistics, data science, and health research, with opportunities to contribute both methodological and applied research in a highly collaborative environment.
The Department of Biostatistics is one of four departments in the School of Public Health at Brown. Established in 2011, the department has an outstanding reputation for innovative research related to development and application of statistical methods for the health sciences. Department faculty teach courses and oversee both undergraduate and graduate programs in statistics and biostatistics; nearly all faculty are members of the Center for Biostatistics and Health Data Science (established in 1994), and many are affiliated with other campus research units such as the Data Science Institute, Carney Institute for Brain Sciences, Population Studies Training Center and Center for Computational Molecular Biology. The Brown School of Public Health and the broader University offer numerous opportunities for interaction and collaboration with world-class researchers in data science, public health and global health.
Appointment Details
The initial appointment is for 2 years, with potential renewal contingent upon performance and funding availability. Salary is competitive and commensurate with experience and includes a comprehensive benefits package.
Brown University is a registered employer in the following states: Rhode Island, California, Colorado, Connecticut, Florida, Maryland, Massachusetts, New York, New Hampshire, New Jersey, North Carolina, Washington, D.C. All remote work must be performed in a state in which Brown is registered to do business.
Visas
For this position, Brown offers only the J-1 visa classification to scholars who need immigration sponsorship in order to enter the U.S. and commence lawful employment under the terms of their appointment.
Qualifications
Qualifications include a PhD degree or equivalent in biostatistics, epidemiology, statistics, data science, or related quantitative field with considerable knowledge and experience in data analysis. Candidates with experience and interest in methods for causal inference, methods for electronic health record data, and interest in conducting research at the intersection of data science and clinical epidemiology are especially encouraged to apply. Excellent oral and written and communication skills are required.
Application Instructions
Applicants should submit via Interfolio:
  • Cover letter describing research experience, career goals, and interest in the position. Candidates should also address how they would contribute to the research and/or teaching missions of Brown's diverse and inclusive academic community.
  • Curriculum vitae
  • One representative publication
  • Names and contact information for three references

Please reach out to rebecca_hubbard@brown.edu with questions about the position.
Equal Employment Opportunity Statement
Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based upon a person's race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law, in the administration of its policies, programs, and activities. The University recognizes and rewards individuals on the basis of qualifications and performance. The University maintains certain affirmative action programs in compliance with applicable law.

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