Logo of Huzzle

Internship

Paid Internship - Global Marketing - Data Collections Analyst

Logo of Monster Energy

Monster Energy

26d ago

🚀 Off-cycle Internship

Corona

AI generated summary

  • You need a Bachelor's degree in stats or related field, strong analytical skills, proficiency in Microsoft Suite, attention to detail, and ability to work independently and in groups.
  • You will be analyzing and auditing data, managing call point audits, matching outlets with master records, maintaining procedures, resolving data errors, performing statistical analysis, and ensuring data accuracy and quality meet standards.

Off-cycle Internship

DataCorona

Description

  • The data collection analyst is responsible for the invoice level data Monster Energy collects from its distribution network. This role is responsible for the integrity, alignment, cleansing and validation of the data. This data is used for reporting, forecasting, production, accruals, and promotional rebates across the enterprise. This position works closely with cross functional teams throughout the organization to include Business Units, Channel Teams, Pricing and MEC distribution partners to ensure systems are aligned. The data collection analyst acts as a subject matter expert on various business initiatives to provide guidance as necessary for data collection, maintenance, and analysis.

Requirements

  • Bachelor's degree in statistics, business, data analytics or equivalent industry experience
  • Highly effective analytical and problem-solving skills
  • Proficiency in Microsoft Suite, including highly developed skills in Excel
  • Ability to use and learn a variety of query and reporting tools
  • Ability to respond to requests accurately and in a timely manner
  • Ability to identify issues within highly detailed data
  • Ability to develop a solution and/or business process
  • Effective interpersonal and communication skills
  • Strong organizational and analytical skills; decision making and problem solving
  • High degree of accuracy and attention to detail.
  • Ability to work in group dynamics and stand out during individual projects
  • Good time management skills
  • Strong multi-tasking abilities
  • Proficiency in using spreadsheets to arrange, manipulate, format, and prepare large amounts of information.
  • Highly effective analytical and problem-solving skills

Education requirements

Currently Studying
Bachelors

Area of Responsibilities

Data

Responsibilities

  • Analyze and audit depletion data against the reporting distribution partners internal systems to ensure data accuracy and data quality meet the agreed upon standards
  • Perform audits; daily, weekly, monthly, and quarterly volume and call point audits ensuring alignment in both internal and external systems
  • Manage the end-to-end process from creation to quarterly auditing of call points and their retail outlets ensuring alignment with outlet numbers, dba, address, class of trade, premise type, and reporting hierarchy
  • Manage the matching process of reported outlets to the appropriate outlet master record
  • Work with leadership to write and maintain standard operating procedures for audits and assigned tasks
  • Protect information provided in confidence from outside sources (bottlers and other business partners) and ensure this information is not disseminated to any unauthorized parties.
  • Protect information and materials provided to third parties (e.g., consultants, vendors, suppliers, bottlers) by ensuring appropriate procedures are followed and parties are bound by company confidentiality agreements as necessary.
  • Analyze, troubleshoot, and resolve errors and assist other team members or business partners with related data collection issues raised
  • Analyze, validate, prioritize, and execute requests for maintenance to ensure the appropriate standards and governance rules are maintained
  • Perform basic statistical and relational analysis of large data sets to identify and correct inconsistencies & anomalies along with mitigation plans
  • Apply business rules and best practices when reviewing requests to identify errors in data and reject, escalate, or remediates errors
  • Multi-task in a multi-functional environment while maintaining service level targets
  • Perform all other duties and tasks as assigned

Details

Work type

Full time

Work mode

office

Location

Corona