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Data Associate Jobs in Rhode Island (NOW HIRING)

Data Warehousing Analyst

Providence, RI · On-site +1

$83K - $124K/yr

We believe in equipping our associates with the knowledge and resources they need to be successful ... Map and verify data from new data sources into the warehouse, ensuring the integrity of the data.

We believe in equipping our associates with the knowledge and resources they need to be successful ... Drive best practices for data architecture, platform reliability, integration design, and ...

We believe in equipping our associates with the knowledge and resources they need to be successful ... The Sr Data Visualization Developer leads initiatives to design, develop, andmaintainintuitive ...

Microsoft Fabric Data Engineer

Pawtucket, RI

$111K - $133K/yr

Design bidirectional data flows between Fabric and manufacturing systems (Infor M3, Salesforce ... Fabric Analytics Engineer Associate (Preferred) * Additional Azure or manufacturing system ...

Job Overview: The Manager, IT Data Products role is responsible for providing leadership ... Remote associates are welcome to work from the office but are not required to do so. While remote ...

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Showing results 1-20

Data Associate information

See Rhode Island salary details

$14

$32

$55

How much do data associate jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for data associate in Rhode Island is $32.39, according to ZipRecruiter salary data. Most workers in this role earn between $23.99 and $38.37 per hour, depending on experience, location, and employer.

What is the role of a data associate?

A data associate is responsible for collecting, organizing, and maintaining data within databases or systems. They often verify data accuracy, perform data entry, and support data analysis tasks using tools like Excel or database management software. Attention to detail and strong organizational skills are essential for this role.

Can I be a data analyst with no experience?

Data analyst roles typically require some knowledge of data analysis tools like Excel, SQL, or Python, and understanding of data visualization. While prior experience is often preferred, entry-level positions may be available for candidates with relevant skills, certifications, or coursework. Building a portfolio of projects can also improve chances of securing a data analyst position without formal experience.

What is the difference between Data Associate vs Data Analyst?

AspectData AssociateData Analyst
Required CredentialsBachelor's degree in related field, basic data handling skillsBachelor's or higher, often with specialized training in data analysis or statistics
Work EnvironmentData entry, data cleaning, supporting data management teamsAnalyzing data, creating reports, interpreting data trends
Employer & Industry UsageCommon in healthcare, finance, and tech companies for data support rolesUsed across industries for data-driven decision making

Data Associates focus on data entry, cleaning, and supporting data management tasks, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights, typically needing more advanced analytical skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

What are the top 3 skills for a data analyst?

For a data analyst, key skills include proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software such as R or Python. Strong analytical thinking, attention to detail, and the ability to communicate insights effectively are also essential. Familiarity with data visualization tools like Tableau or Power BI enhances their ability to present findings clearly.

What are Data Associates?

Data Associates are professionals who collect, manage, process, and ensure the quality of data within an organization. They often work with databases, spreadsheets, and software tools to organize and validate data, making it accessible and accurate for analysis and reporting. Data Associates may also assist with data entry, cleaning, and basic analysis tasks, supporting teams like data analysts or data scientists. Their work is crucial for maintaining reliable information that drives business decisions.

Is 40 too late for data science?

Age is not a barrier to becoming a data associate or transitioning into data science. Many professionals successfully switch careers or start new roles later in life by acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications. Employers value experience and skills over age, and continuous learning can help you stay competitive in the field.

What are the key skills and qualifications needed to thrive as a Data Associate, and why are they important?

To thrive as a Data Associate, you need strong analytical skills, attention to detail, and a solid foundation in data management or statistics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools such as Excel, SQL, and sometimes Python or data visualization software is commonly required. Excellent organization, problem-solving abilities, and effective communication help individuals stand out in this role. These skills ensure accurate data handling, reliable reporting, and clear collaboration across teams, which are critical for data-driven decision-making.

How does a Data Associate typically collaborate with other teams within an organization?

Data Associates frequently work alongside analysts, engineers, and business stakeholders to ensure data accuracy and accessibility. They may be responsible for gathering data from various sources, cleaning datasets, and supporting the data needs of other departments. Effective communication and teamwork are essential, as Data Associates often receive requests for reports or data updates and must coordinate with technical and non-technical colleagues to deliver actionable insights. This collaborative environment helps Data Associates learn about different business functions and can open doors for career growth.
What are the most commonly searched types of Data jobs in Rhode Island? The most popular types of Data jobs in Rhode Island are:
What cities in Rhode Island are hiring for Data Associate jobs? Cities in Rhode Island with the most Data Associate job openings:
Infographic showing various Data Associate job openings in Rhode Island as of July 2026, with employment types broken down into 1% As Needed, 65% Full Time, 31% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $67,372 per year, or $32.4 per hour.
Data Management Associate

Data Management Associate

Brown University

Providence, RI • On-site

Full-time

Re-posted 19 days ago


Brown University rating

7.8

Company rating: 7.8 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

204th of 555 rated colleges and universities


Job description

Job Description:
The Brown University Division of Advancement is seeking a Data Management Associate. This role ensures that constituent and related Advancement data is accurate and accessible, supporting the critical mission of Brown University community engagement. The incumbent is responsible for the preparation, research, analysis, and processing of alumni, donor, and friend data originating from multiple sources, internal and external to the University. Data managed by this team includes identity information (such as name, gender, ethnicity, etc.), contact information, relationships, educational information, student involvements and awards, contact preferences, and many other data points that impact an individual or organization's relationship with the Brown community.
The Data Management Associate will ensure data quality is improved by identifying, evaluating, and resolving data hygiene/integrity issues across both unique situational challenges and the results of complex queries. The accuracy and effectiveness of internal and external reports sourced from Advancement rely on this work. This role provides excellent customer service through diplomatic contact with external constituents, which can have a significant impact on the constituent's relationship with the University.
Education and Experience
  • Minimum 2 years of experience in data processing or a related field such as bookkeeping, accounting, auditing, higher education, nonprofit, or fundraising.
  • Bachelor's degree or equivalent combination of education and experience.

Job Competencies
  • Demonstrated professionalism with effective written and oral communication with internal and external constituents, with strong customer service and listening skills.
  • Proficient in using Microsoft Office, Google Suite, and information management systems
  • Ability to manage several projects simultaneously, prioritize and plan work activities while meeting respective deadlines.
  • Demonstrated ability to be flexible, cooperative, and collaborative with colleagues within the division, adapting to system and process changes.
  • Strong written and verbal communication, organization skills, and detail-oriented
  • Proficiency in a networked environment with Windows and critical software applications such as email, spreadsheets, word processing, and internet navigation.
  • Experience with data management desired, preferably in financial or biographic data fields
  • Some experience, understanding, and command of procedural work in reference to databases and quality control.

Preferred Qualifications
  • Experience with Blackbaud CRM systems is desired
  • Advancement or Higher Ed experience desired

Background Check: All offers of employment are contingent upon a successful criminal background check and education verification satisfactory to Brown.
Additional Information: Please submit a resume and cover letter when applying for this position.
Read more about the benefits of working at Brown here.
Benefits of Working at Brown:
Please review additional information on the Benefits of Working at Brown.
Recruiting Start Date:
2026-04-23
Job Posting Title:
Data Management Associate
Department:
Advancement
Grade:
Grade 8
Worker Type:
Employee
Worker Sub-Type:
Regular
Time Type:
Full time
Scheduled Weekly Hours:
37.5
Position Work Location:
Hybrid
Submission Guidelines:
Please note that in order to be considered an applicant for any staff position at Brown University you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.
This position is not eligible for visa sponsorship.
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.
Still Have Questions?
If you have any questions you may contact employment@brown.edu.
Brown is an E-Verify Employer.
EEO 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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