SENTIMENT ANALYSIS & TEXT PARSING
Examine managers free-text in-store assessments from around the country using Python & LLM packages. Determine a sentiment analysis of manager responses.
Evaluate response quality by assessing the impact of length keywords and grouping similar assessments using different synonyms. Determine the impact of the highest-quality responses in their respective markets.
COMPARATIVE ANALYSIS
Inspect historical sequential datasets and help find the tangible numeric impact between each dataset on a granular store level.
Connect Offtake Depletions & Backstock to build a full picture of the sales path of a can of Red Bull.
Uncover potential causal factors between datasets measuring the relationship & impact each individual metric has.
DATA TABLE VALIDATION (SNOWFLAKE)
Support data tables review ensuring that large-scale tables from related / different sources match each other; Data table sizes ranging from 10k 300M rows.
Learn to establish automated system monitors warning of data issues as soon as they occur.
Apply theoretical data structures to practical issues synchronizing large datasets used for everyday business.
Qualifications :
Actively enrolled in college/university as an undergraduate or graduate student
Available to work full-time (40 hours per week) for the duration of the internship
Demonstrated initiative through academics work experience or extracurricular involvement
Comfortable writing python code experience in LLM is a plus
Familiarity with SQL
A growth mindset with the ability to learn quickly adapt to new environments and incorporate feedback
Additional Information :
The compensation for this position is $33 per hour.
Our current Benefits include: Comprehensive Medical Dental and Vision Plans 401k Match Family Leave PTO & Paid Holiday Schedule Pet Legal and Life Insurance Tuition Reimbursement (Benefits listed may vary depending on the nature of your employment and/or work location)
Red Bull North America Inc. is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability veteran status age or any other classification protected by Federal state or local law. We will consider for employment all qualified Applicants including those with Criminal Histories in a manner consistent with the requirements of applicable state and local laws including the City of Los Angeles Fair Chance Initiative for Hiring Ordinance.
Remote Work :
No
Employment Type :
Full-time
Red Bull Student Marketeers are part of the most dynamic and empowered brand and product ambassador program in the world. They understand Red Bulls target group and are responsible for driving the brand image and product understanding on their university campus and in their region. T ... View more