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Data Solutions Intern Jobs (NOW HIRING)

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site

... charging solutions where and when they need it most. We build with reliability and scale in mind ... The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

... charging solutions where and when they need it most. We build with reliability and scale in mind ... The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ...

Astec Industries

Data Analyst Intern

Chattanooga, TN · On-site

We are an industry leader known for delivering innovative solutions that create value for our ... Hybrid Chattanooga ABOUT THE POSITION The Data Analyst Intern will primarily support Astec ...

Retailcloud

Data Analytics Intern

Concord, CA · On-site

$60K - $70K/yr

... solution to meet the customers needs. Position Overview: retailcloud is seeking a Data Anyltics ... Intern to work with large and complex datasets and turn them into clear insights and visualizations.

AARP

Data Analyst Intern

Washington, DC · On-site

$28/hr

AARP also works for individuals in the marketplace by sparking new solutions and allowing carefully ... As a Data Analyst Intern, you will have the opportunity to work closely with our dedicated team ...

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Data Solutions Intern information

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How much do data solutions intern jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data solutions intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What does a data solutions intern do?

A Data Solutions Intern assists in analyzing, organizing, and interpreting data to support business decision-making. They work closely with data analysts and engineers to gather data, clean and process large datasets, and help develop data-driven solutions for various projects. Interns may also help create reports, dashboards, and visualizations to communicate insights to different teams. This role provides hands-on experience with data tools and technologies, preparing interns for careers in data science, analytics, and related fields.

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

AspectData Solutions InternData Analyst
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fieldsBachelor's degree in Data Science, Statistics, or related field; often requires some experience
Work EnvironmentInternship setting, often in tech or consulting companies, with mentorshipFull-time role in various industries, working with data analysis tools and reporting
Employer & Industry UsageUsed in tech, finance, consulting firms for entry-level support rolesCommon in finance, healthcare, marketing, and tech for data-driven decision making

The Data Solutions Intern role is an entry-level position focused on supporting data projects under supervision, often as part of an internship program. In contrast, a Data Analyst is a more experienced role involving independent data analysis, reporting, and insights generation. While both roles require knowledge of data tools and basic analytics, the intern position is typically temporary and educational, whereas the analyst role is a full-time position with greater responsibilities.

What types of projects does a data solutions intern work on?

As a Data Solutions Intern, you can expect to work on projects such as data cleaning, developing dashboards, assisting with database management, and supporting data integration tasks. These projects are designed to help the team streamline data processes and provide actionable insights for decision-making. You'll likely collaborate closely with data analysts, engineers, and business stakeholders, gaining exposure to real-world data challenges and solutions. This hands-on experience not only builds your technical skills but also demonstrates the impact of well-managed data on organizational success.

What skills and qualifications are needed to be a data solutions intern?

To excel as a Data Solutions Intern, you need a foundational understanding of data analysis, statistics, and programming languages such as Python or SQL, usually supported by ongoing studies in computer science or a related field. Familiarity with data visualization tools (like Tableau or Power BI), databases, and cloud platforms (such as AWS or Azure) is often required. Problem-solving skills, attention to detail, and effective communication help interns collaborate with teams and translate data insights for various stakeholders. These skills are vital for efficiently supporting data-driven projects and contributing valuable insights to organizational decision-making.
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Data Solutions Intern jobs near you
Infographic showing various Data Solutions Intern job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.

Data Engineering Intern

East Penn Manufacturing - Deka Batteries

Ann Arbor, MI • On-site

$16.75 - $21.50/hr

Other

Posted 12 days ago

Job description

Get to know East Penn!
Navitas Systems LLC, a leader in comprehensive energy storage solutions, was formed in 2011 with the merger of MicroSun Innovative Energy Storage Solutions and MicroSun Electronics, and the acquisition of lithium battery company A123 Systems' Government Solutions Group. In 2019, East Penn Manufacturing, one of the world's leading battery manufacturers, acquired majority interest in Navitas Systems. In SEVEN remarkable decades, East Penn has grown from a one-room shop with a product line of five automotive batteries to one of the world's leading battery manufacturers with over 10,500 full-time employees, 515 product designs, operations around the world, and hundreds of awards for industry excellence.
At our Navitas facilities we engage in the research, design, development, and manufacture of advanced lithium cells and energy storage products and systems for both commercial customers and U.S. Government/military customers. We invest in our people, they are and always will be the heart of this company. Are you ready to join a family-owned enterprise committed to honoring the contributions of everyone? Then Navitas is the right place for you.
Overview
Navitas Systems is currently seeking a curious and technically strong Data Engineering Intern to join our BIS (Business Intelligence & Systems) team. The intern will help build and maintain the data pipelines, integrations, and warehouse infrastructure that power analytics, reporting, and decision-making across Navitas.
This is a hands-on opportunity to work directly with enterprise systems and contribute to the foundation of a modern data platform being built from the ground up. The intern will gain real-world experience in SQL development, ETL/ELT design, data modeling, and integration patterns in a fast-paced manufacturing environment.
Working hours will be scheduled around the intern's class schedule, but must be the same days and hours each week. The intern is expected to confirm their weekly schedule with their manager within two weeks of their start date.***Candidate must be lawful permanent resident or US Citizen and be able to work on site in Ann Arbor, MI
Responsibilities
  • Assist in designing, building, and maintaining ETL/ELT pipelines that move data from source systems (ERP, MES, CRM, SharePoint, Excel) into the central data warehouse.
  • Write, optimize, and troubleshoot SQL queries, stored procedures, and views against SQL Server databases.
  • Support the design and implementation of star schema models, data marts, and semantic layers that feed Power BI and downstream consumers.
  • Help connect and integrate enterprise systems (Expandable ERP, Ignition MES, Salesforce, Dayforce, Jira) into the central data platform.
  • Build and run validation checks to ensure accuracy, completeness, and consistency of data flowing through pipelines.
  • Contribute to scheduled jobs, refresh cadences, and automation efforts that reduce manual data movement and reporting overhead.
  • Assist in monitoring pipeline health, identifying failures, and resolving data issues in partnership with IT and BIS team members.
  • Document data sources, transformations, schemas, and lineage; contribute to data governance and metric standardization efforts.
  • Use Jira to manage work items and SharePoint to publish documentation; collaborate with BI developers, analysts, and business stakeholders.

Qualifications
Required
  • Currently pursuing a Bachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related field.
  • Must be a US Citizen or have a valid green card
  • Must be able to work on site at our Ann Arbor location
  • Strong working knowledge of SQL (joins, aggregations, subqueries, window functions) against relational databases.
  • Familiarity with SQL Server or comparable RDBMS (PostgreSQL, MySQL, Oracle).
  • Understanding of ETL/ELT concepts, data warehousing fundamentals, and relational data modeling.
  • Proficiency in at least one scripting language (Python preferred; PowerShell or similar acceptable).
  • Familiarity with Microsoft SharePoint for collaboration and documentation.
  • Familiarity with Jira (or similar work management tools) for tracking tasks and stories.
Preferred
  • Exposure to Power BI (semantic models, Power Query, DAX basics).
  • Familiarity with star schema / dimensional modeling (Kimball methodology).
  • Experience with Git and version control workflows.
  • Exposure to cloud data platforms (Azure, Fabric, OneLake, Databricks, Snowflake) or on-premises data lake/lakehouse concepts.
  • Familiarity with APIs, REST, JSON, and integration patterns between SaaS systems.
  • Exposure to MES, ERP, or manufacturing data environments.
  • Understanding of data governance, lineage, and metadata management concepts.
  • Coursework or projects involving data pipelines, distributed systems, or large-scale data processing.

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