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PAID INTERNSHIP - Digital Marketing Analytics
Monster EnergyUnited Statesfull_timeVerifiedPosted 22 Mar 2024
š° $32,000/yr
About the role
Job Summary:
The Digital Marketing Analytics Intern is a rising tech wizard, who is focused on data requirements & data accuracy, extrapolations & insertions, learning dashboarding, data integration, advanced Excel functions, formulas and algorithms. The Digital Marketing Analytics Intern will contribute to the data collection, measurement, reporting and analytics. He or she must be a critical thinker.
Essential Job Functions:
- Extrapolate data from various internal/external sources, regardless of data format or programming language.
- Learn business challenges in extrapolating, inserting and integrating data from >50 sources.
- Learn how to QA data output.
- Learn how to pull data from CSV into Excel and/or Google Sheets.
- Learn how to pull data from Google Sheets or pre-existing connectors into Looker Studio.
- Learn how to pull data from Azure into PowerBI.
- Learn how to graph data trends, filter by select criteria utilizing resources mentioned above.
- Learn how to automate data extrapolations using DataFactory, SQL and/or SQL Server Mangaement Studio.
- Learn and apply SQL queries, .NET and other coding aspects as it relates to data automation.
- Measure and interpret data against benchmarks, performance models and industry standards.
- Compile regular, timely reports and communicate to management any important developments.
- Work with cross-functional digital, brand & IT.
Position Requirements:
- Currently in college in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics
- 6+ months of one or both programming languages: SQL, .NET
- Power user of Excel including but not limited to pivot tables, advanced macros.
- Ability to think creatively, critically, in order to clearly present ideas and communicate with team lead.
- Strong verbal, written skills.
- Proficiency or learning Microsoft programs: Word, PowerPoint, Outlook & PowerBI
Ā
Pay Rate: $16/hr
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