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Data Analyst Intern Jobs in Riverside, RI (NOW HIRING)

Bcbsri

Data Warehousing Analyst

Providence, RI · On-site +1

$83K - $124K/yr

Analyze, define, maintain, and manage business data contained within the enterprise data warehouse. Map and verify data from new data sources into the warehouse, ensuring the integrity of the data.

Ocean Spray

Data Visualization Analyst

Lakeville, MA

$87K - $120K/yr

The Data Visualization Analyst role is designed to help the commercial teams extract, summarize and visualize relevant past performance metrics to drive future performance. It requires a creative ...

Ocean Spray

Data Visualization Analyst

Lakeville, MA · On-site +1

$87K - $120K/yr

The Data Visualization Analyst role is designed to help the commercial teams extract, summarize and visualize relevant past performance metrics to drive future performance. It requires a creative ...

Ocean Spray

Data Visualization Analyst

Lakeville, MA

$87K - $120K/yr

The Data Visualization Analyst role is designed to help the commercial teams extract, summarize and visualize relevant past performance metrics to drive future performance. It requires a creative ...

Bcbsri

Senior Data Visualization Analyst

Providence, RI · On-site +1

$93K - $140K/yr

The Sr Data Visualization Developer leads initiatives to design, develop, andmaintainintuitive business intelligence dashboards and selfservice analytics tools that enable business partners to ...

Medtronic

Engineering Intern - Summer 2027

Mansfield, MA

$17.75 - $23/hr

Contribute to system integration, verification, validation, risk analysis, and data-driven ... the intern cohort from June 1 through August 13 for semester system programs or June 14 through ...

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All JobsData Analyst Intern JobsData Analyst Intern Jobs in Riverside, RI

Data Analyst Intern information

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How much do data analyst intern jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data analyst intern in Riverside, RI is $22.09, according to ZipRecruiter salary data. Most workers in this role earn between $16.97 and $24.09 per hour, depending on experience, location, and employer.

What types of projects and tasks can a data analyst intern expect to work on during their internship?

As a Data Analyst Intern, you can expect to work on a variety of projects such as cleaning and organizing datasets, creating data visualizations, and supporting the analysis of business trends. You'll often be asked to assist in preparing reports, updating dashboards, and collaborating with team members from departments like marketing, finance, or product management. This hands-on experience provides exposure to real-world data challenges and the opportunity to develop technical skills using tools like Excel, SQL, or Python, while also learning how data-driven decisions are made within the organization.

Is a data analyst internship worth it?

A data analyst internship provides practical experience with data analysis tools like Excel, SQL, and visualization software, which can enhance employability and skill development. It offers exposure to real-world projects and networking opportunities, making it valuable for those pursuing a career in data analysis.

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

To thrive as a Data Analyst Intern, you need a solid understanding of statistics, data analysis, and proficiency in Excel or similar spreadsheet tools, often supported by coursework in data science or related fields. Familiarity with data visualization software like Tableau, and programming languages such as SQL or Python, is commonly expected. Strong attention to detail, problem-solving skills, and the ability to communicate findings clearly are standout soft skills for this role. These skills enable interns to extract actionable insights from data, support decision-making, and contribute meaningfully to business objectives.

What is the difference between Data Analyst Intern vs Data Scientist Intern?

AspectData Analyst InternData Scientist Intern
Required CredentialsTypically pursuing or recent graduate in data-related fields; basic knowledge of SQL, Excel, and data visualizationOften pursuing or recent graduate in data science or related fields; knowledge of programming (Python, R), machine learning, and statistical modeling
Work EnvironmentEntry-level, supporting data analysis tasks, reporting, and visualizationMore advanced projects involving predictive modeling, algorithms, and complex data analysis
Employer & Industry UsageCommon in tech, finance, marketing, and consulting firmsFound in tech, research, and analytics-driven industries

The main difference between a Data Analyst Intern and a Data Scientist Intern lies in the complexity of tasks and required skills. Data Analyst Interns focus on data cleaning, visualization, and reporting, while Data Scientist Interns handle advanced modeling and machine learning. Both roles are valuable entry points into data careers, with the Data Scientist Intern position typically requiring more technical expertise.

What does a data analyst intern do?

A Data Analyst Intern supports data analysis projects by collecting, cleaning, and organizing data. They use tools like Excel, SQL, or Python to analyze datasets and help generate reports or visualizations for business insights. Interns often work under supervision, assisting with ongoing projects and learning industry best practices, which helps them gain valuable experience in data analytics and business intelligence.

What are the most commonly searched types of Data Analyst jobs in Riverside, RI?

The most popular types of Data Analyst jobs in Riverside, RI are:

What cities near Riverside, RI are hiring for Data Analyst Intern jobs?

Cities near Riverside, RI with the most Data Analyst Intern job openings:

Data Analyst Intern jobs near you
Infographic showing various Data Analyst Intern job openings in Riverside, RI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $45,943 per year, or $22.1 per hour.

Principal IT Data Analyst

Fidelity Investments

Smithfield, RI • On-site

$115K - $166K/yr

Full-time

Re-posted 2 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 271 frontline employees who took The Breakroom Quiz

15th of 150 rated financial services

Job description


Position Description:
Note: Fidelity will not provide immigration sponsorship for this position.
Develops and maintains curated data repositories for an enterprise analytics platform. Analyzes complex datasets from several sources (demographics and investments) using SQL, Python, and front-end analytics (Tableau). Writes and updates design documentation using Confluence. Uses business knowledge to translate the vision for divisional initiatives into business solutions by developing complex or multiple software applications and conducting studies of alternatives. Analyzes and recommends changes in project development policies, procedures, standards, and strategies to development experts and management.
Primary Responsibilities:
  • Recommends design changes to complex, interrelated systems designed to meet complicated requirements, improve performance, or reduce costs of ownership.
  • Designs new systems based on requirements gathered during the requirements analysis phase.
  • Mentors other analysts in the documentation of large and complex projects.
  • Monitors the quality and progress of documents.
  • Documents formal specifications describing solutions to meet requirements.
  • Analyzes data held within transactional, warehouse, and data lakes, and communicates findings to senior management.
  • Analyzes information processing and computation needs.
  • Plans and designs computer systems using structured analysis, data modeling, and information engineering.
  • Develops, documents, and revises system design procedures, test procedures, and quality standards.
  • Consults with management to ensure agreement on system principles.

Education and Experience:
Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal IT Data Analyst (or closely related occupation) performing data analysis, profiling, and modeling across Legal, Risk, & Compliance functions within the financial domain, using SQL, PL/SQL, and Python.
Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal IT Data Analyst (or closely related occupation) performing data analysis, profiling, and modeling across Legal, Risk, & Compliance functions within the financial domain, using SQL, PL/SQL, and Python.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") translating business requirements into data driven solutions (to create conceptual, logical and physical models) using SAP Power Designer; supporting unstructured and semi structured data storage design patterns using AWS-S3, Kafka, and Snowflake; parsing out attributes from data to identify patterns, using SQL, KSQL, or PL/SQL; and analyzing, evaluating, and creating data objects based on relational or dimensional data models in Oracle, Snowflake, MySQL, and PostgreSQL.
  • DE developing data profiling frameworks using SQL and Python; performing end-to-end data analysis and sourcing (to target data mapping) using Oracle, Snowflake, and ICEDQ; and establishing governance and dictionary data practices using Alation and Collibra.
  • DE designing and implementing data movement processes for data warehouses or datalakes by developing mappings and extract, transform, load (ETL) workflows, using Informatica, Apache Nifi, or Control-M; deploying code changes using Github or Jenkins; performing application testing to write stored procedure using PL/SQL and Python adhering to coding standards; and optimizing SQL queries and batch processes using Oracle, Snowflake, NiFi, and DBT.
  • DE performing data wrangling using Python, R, Alteryx, and Jupyter Notebook; performing data visualization using BI tools (PowerBI, tableau, and Excel); developing Machine Learning (ML) models using Artificial Intelligent (AI)/ML algorithm (decision tree model, k-Nearest Neighbors (KNN) model, Binary tree model, and Linear and Logistic regression data model) and Python and R to evaluate external and internal risk scores; and performing story creation, backlog refinement, and sprint planning according to Agile methodologies (Jira), within a financial services compliance environment.

Salary: $115,775.00 to $166,000.00/year.
#PE1M2
#LI-DNI
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Information Technology
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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