STIHL
STIHL
Applications Closed
Posted 6 months ago
Internship
Virginia Beach, Virginia
In Person
Smart Summary
Responsibilities
As a Data Analysis intern, you will support data-driven insights that inform product, marketing, and business strategy. You will analyze customer and product data to evaluate market performance and identify trends.
Qualifications
This internship is ideal for rising juniors or seniors with a background in Data Analysis or Market Research. You'll need experience with SQL, Python, and Power BI to support data-driven insights for marketing and product strategy. This is a great opportunity to gain hands-on experience in analyzing customer and product data.
Job Description
We are more than just chainsaws, blowers, and trimmers. We have a long-standing tradition of hiring diverse, talented people who help make STIHL a successful, world-class brand. Since revolutionizing the forestry industry in Germany with the first electric chainsaw in 1926, the STIHL name has remained synonymous with outstanding innovation, high-quality products, and comprehensive services.
As part of our internship program, students will have the opportunity to:
Join us for an exciting summer! We have an exciting opportunity for you to join our Makerting Research team as a Data Analysis intern.
As a Data Analysis intern, you will support data-driven insights that inform product, marketing, and business strategy. This role offers hands-on experience analyzing customer and product data from STIHL’s warranty registration database to evaluate market performance, customer behavior, and competitive dynamics.
In this role, you will manipulate and analyze large data sets to assess the impact of new product introductions, evaluate the effectiveness of seasonal promotions, segment customers, and identify purchase propensity trends. You will collaborate with marketing and analytics stakeholders to translate data into actionable insights that support strategic decision-making.
Key Responsibilities:
Internship Goals:
Candidate Perferences:
Academic Year: Junior, Senior
Area of Study: Data Analysis, Market Research
Software Experience: SQL, Python, Power BI data warehouse/data
Additional Information:
Work Hours: 8:30AM-5:00PM
Department: Marketing
Compensation: $20/hr
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