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Intern Data Storyteller Jobs in Michigan (NOW HIRING)

ArcelorMittal

Data Analytics Co-Op

Detroit, MI

Join us, become part of our family, and help us script our ongoing success story. What You Can ... Intern to join our team and contribute to the business development objectives of AMTB. The ...

ArcelorMittal

Data Analytics Co-Op

Detroit, MI · On-site

Join us, become part of our family, and help us script our ongoing success story. What You Can ... Intern to join our team and contribute to the business development objectives of AMTB. The ...

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Intern Data Storyteller information

What is an intern data storyteller?

An Intern Data Storyteller is a student or entry-level professional who assists in analyzing data and transforming findings into compelling, easy-to-understand narratives. Their role typically involves working with data visualization tools, creating presentations, and helping teams make data-driven decisions by making complex information accessible. They collaborate with data analysts, marketing, and other departments to ensure that insights are communicated effectively. This internship is ideal for those interested in both data analytics and creative communication.

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

AspectIntern Data StorytellerData Analyst
Required CredentialsBasic knowledge of data visualization, storytelling, and entry-level data skillsDegree in data science, statistics, or related field; proficiency in data analysis tools
Work EnvironmentInternship setting, often collaborative, creative, and learning-focusedFull-time or part-time roles in various industries, more structured and specialized
Employer & Industry UsageUsed in marketing, media, and tech companies to communicate data insightsWidely used across finance, healthcare, tech, and consulting sectors for data-driven decision making

The main difference is that an Intern Data Storyteller focuses on developing storytelling skills with data, often in a learning environment, while a Data Analyst performs more in-depth data analysis and reporting. Interns typically have less experience and work under supervision, whereas Data Analysts are more experienced and handle complex data tasks independently.

What are the key skills and qualifications needed to thrive as an intern data storyteller?

To thrive as an Intern Data Storyteller, you need a solid grasp of data analysis, visualization techniques, and basic statistical knowledge, often supported by coursework in data science or related fields. Familiarity with tools like Excel, Tableau, Power BI, or Python for data visualization and storytelling is typically expected. Strong communication, creativity, and the ability to simplify complex information help set top candidates apart. These skills are crucial for transforming raw data into compelling narratives that inform business decisions and engage diverse audiences.

How does an intern data storyteller typically collaborate with other team members during a project?

As an Intern Data Storyteller, you will frequently work alongside data analysts, designers, and marketing or communications professionals to turn complex data findings into compelling narratives. You'll participate in team meetings to discuss project goals, contribute to brainstorming sessions, and often receive feedback from multiple departments to refine your stories. Collaboration can also involve sharing drafts of visualizations or presentations and incorporating suggestions to ensure the final product is both accurate and engaging for the target audience. This collaborative environment provides valuable exposure to different perspectives and helps you build versatile communication skills.
What are popular job titles related to Intern Data Storyteller jobs in Michigan? For Intern Data Storyteller jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Intern Data Storyteller jobs in Michigan look for? The top searched job categories for Intern Data Storyteller jobs in Michigan are:
Intern Data Storyteller jobs near you

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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