Data Science and Business Analytics Internship Opportunity

4 days ago

Alpharetta, United States Mativ Full time
About Mativ

Mativ Holdings, Inc. is a global leader in specialty materials headquartered in Alpharetta, Georgia. The company makes material impacts on the world every day through a wide range of critical components and engineered solutions that solve our customers' most complex challenges.

We manufacture on three continents and generate sales in nearly 100 countries through our family of business-to-business and consumer product brands.

The company's two operating segments, Advanced Technical Materials and Fiber-Based Solutions, target premium applications across diversified and growing end markets, from filtration to healthcare to sustainable packaging and more.

Our broad portfolio of technologies combines polymers, fibers, and resins to optimize the performance of our customers' products across multiple stages of the value chain.

We drive innovation and enhance performance, finding potential in the impossible.

Internship Overview

We are hiring talented college students for internships providing the opportunity to develop their advanced analytics and data science skills while supporting Mativ's strategic objectives.

The interns will also build networking relationships and receive mentoring from team members and top-level management.

The Mativ Summer Internship Program is scheduled to start on May 19, August 8, 2025.

Our paid internship offers a well-rounded experience including meaningful work, a dedicated intern manager, community service opportunities, professional development and more.

Responsibilities
  1. Enable and work with the BI team to build new capabilities in the Azure Cloud Environment and Power BI front end environments.
  2. Assist with developing documentation and repositories for the data models and dashboards engineered
  3. Interact with business and IT teams to identify questions and issues for data analysis and experiments
  4. Participate in multiple stages of analytics projects, including design, data integration, data modeling, and data visualization.
  5. Use strategic thinking and perform data analytics for a variety of business problems and opportunities and create data-driven insights
  6. Work with a variety of data modeling, data visualization, and analytical tools including Power BI, Data Bricks, and programming languages like SQL, Python, and DAX.
  7. Help maintain and optimize data pipelines and reporting infrastructure.
  8. Design and develop models to build solutions to tackle real-world business problems
  9. Understand software development lifecycle and work in a professional environment
  10. Participate in meetings across business and IT to develop business requirements
  11. Work on data profiling activities to understand the quality and consistency of Mativ data
  12. Learn the existing models & visualizations developed by the data and analytics team and will help standardize those using pipelines
  13. Understand the manufacturing process and understand common data manipulation tasks
  14. Communicate findings and project status clearly and professionally through presentations
  15. Enable and work with the Mativ Data & Analytics team to build new capabilities in the Azure, Databricks, Power BI, and Rapid Miner environments.
  16. Rigorously test models to evaluate performance and accuracy
  17. Understand software development lifecycle and work in a professional environment
  18. Work with a variety of languages, data applications, and analytical tools including SQL, Python, DataBricks, ADLS, and MES and ERP systems.
  19. Participate in multiple stages of data science projects, including data pipeline, aggregation, feature engineering, modeling, and visualization.
  20. Learn the existing models developed by the data and analytics team and help standardize those using pipelines
Qualifications

Required:

  • Pursuing a Bachelor's Degree in Computer Science, Business Analytics, Information Technology, Mathematics, Data Science, or any related degree.
  • Minimum GPA requirement of 3.0.
  • Experience with Excel and PowerPoint
  • Understanding of data pipelines and data integration
  • Experience with data governance and data modeling concepts

Nice to have:

  • SQL, R, and Python and/or other Object-Oriented languages
  • Software and data model engineering concepts such as versioning, model deployment and model retraining etc.
  • Python libraries experience such as Pandas, NumPy, MLFlow, Scikit-Learn, Matplotlib, Pytest, TensorFlow, and PyTorch.
  • Understanding of git workflows and CI/CD
  • Experience creating and editing data visualizations using Power BI, Grafana, DataBricks or other BI Tools
Competencies

Ideal candidates will possess high initiative and drive, with a curiosity to perpetually learn and improve our business.

Strong analytical, organizational, presentation, and time management skills

Strong attention to detail.

High level of discretion when dealing with sensitive information.

Demonstrated oral and written communication skills.

Demonstrated ability to multi-task, perform in a fast-paced environment & respond quickly to situational needs as they arise.

Ability to analyze information to find opportunities, effectively communicate, and work collaboratively in a team setting.

Desire for continuous development and learning opportunities.

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