Jobs and Careers

Data Science and Business Analytics Intern

Alpharetta, United StatesinternshipVerifiedPosted 26 Sept 2024

About the role

Intern Program: May 19, 2025 – August 8, 2025 About MativMativ 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. Our leading positions are a testament to our best-in-class global manufacturing, supply chain, and materials science capabilities. We drive innovation and enhance performance, finding potential in the impossible. description 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, 2025 – 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 Our interns will have specific projects within one or more of the following areas of focus: Data Analytics

Enable and work with the BI team to build new capabilities in the Azure Cloud Environment and Power BI front end environments.
Assist with developing documentation and repositories for the data models and dashboards engineered
Interact with business and IT teams to identify questions and issues for data analysis and experiments
Participate in multiple stages of analytics projects, including design, data integration, data modeling, and data visualization.
Use strategic thinking and perform data analytics for a variety of business problems and opportunities and create data-driven insights
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.
Help maintain and optimize data pipelines and reporting infrastructure.

Business Intelligence

Design and develop models to build solutions to tackle real-world business problems
Understand software development lifecycle and work in a professional environment
Participate in meetings across business and IT to develop business requirements
Work on data profiling activities to understand the quality and consistency of Mativ data
Learn the existing models & visualizations developed by the data and analytics team and will help standardize those using pipelines
Understand the manufacturing process and understand common data manipulation tasks
Communicate findings and project status clearly and professionally through presentations

Artificial Intelligence

Enable and work with the Mativ Data & Analytics team to build new capabilities in the Azure, Databricks, Power BI, and Rapid Miner environments.
Rigorously test models to evaluate performance and accuracy
Understand software development lifecycle and work in a professional environment
Work with a variety of languages, data applications, and analytical tools including SQL, Python, DataBricks, ADLS, and MES and ERP systems.
Participate in multiple stages of data science projects, including data pipeline, aggregation, feature engineering, modeling, and visualization.
Learn the existing models developed by the data and analytics team and help standardize those using pipelines

qualifications:Required: