Internship - Data Analyst (Social Listening)
About Monster Energy: Forget about blending in. That's not our style. We're the risk takers, the trailblazers, the game-changers. We're not perfect and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. Our drive is just like our athletes, unrivaled. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become on along the way. We are much more than a brand here. We are a way of life, a mindset. Join us! A Day in The Life: The Insights & Analytics Intern is an up & coming tech wizard that enjoys working behind the scenes; focused on data requirements & integrity, extrapolations & insertions, integration, advanced Excel functions, formulas and algorithms. This role will support improving efficiencies across data collection, measurement, reporting and analytics. The focus will be more (but not limited) on social listening. He or she must be a critical thinker. The Impact You'll Make: Efficient in properly validating digital marketing data (QA) Support data analyst team on related data extrapolation and visualization projects via Power BI using Microsoft Fabric workspace. Support the creation and consolidation of standardization / documentation of processes and data dictionaries Data analysis to measure and interpret results against benchmarks, historical results and industry standards. Ability to interpret Social Listening data and communicate trends Ability to think creatively & critically to clearly present ideas and communicate with team leaders using strong verbal & written skills. Who You Are: Pursuing a degree in Computer Science, Statistics, Mathematics, Applied Math, Economics, Quantitative Marketing, Data Analytics, Data Science, Data Engineering Proficiency in Microsoft Office programs: Excel, Word, and Outlook, MS Azure, PowerBI Intermediate user of QUID (Netbase, Rival IQ) Intermediate user of Excel (pivot tables, advanced macros, data aggregation, etc.) Experience with editing and writing coding & query languages (SQL, M-Code, DAX, Python, Boolean, etc.) a plus Experience with data modeling, star schema, MS fabric a plus Must be proactive and focused, detail-oriented, self-motivated, results-driven, and able to manage multiple priorities and projects simultaneously in a fast-paced environment