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Data Quality Analyst (Temporary)

USA - Corona, CA

About Monster Energy:

Forget about blending in. That's not our style. We're the risk takers, the trailblazers, the gamechangers. 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:

In the position of Data Quality Analyst, you will be Responsible for implementing process improvements to increase the speed in which the data management team organizes and analyzes data. Ensure consistent, timely and accurate data the business can rely on for quality reporting when planning, forecasting, and doing other various data driven business decisions. Act as a subject matter expert (SME) on various business initiatives to provide guidance as necessary for data management and its governance. Please note:  This is a Temporary position only 

The Impact You'll Make:

  • Develop data quality and standards based on analytical research to avoid similar problems in the future. These standards will include building data validation procedures, quality checks and profiling reports. Once created, it is their duty to ensure adherence to regulatory requirements, data governance and documentation workflows.
  • Work with stakeholders and customers, informing decision-makers about the implications of issues, working with data stewards to resolve data quality problems or creating educational resources to help other organization members and clients.
  • Data Cleaning and Transformation, extract, transform and load data. Cleanse and transform data to improve its quality and consistency. Implement data cleansing techniques such as standardization, normalization, and deduplication.
  • Develop and execute data quality rules and scripts to automate data cleansing processes.
  • Analyze data quality issues, when problems with data integrity are discovered. Analyze and determine the root cause, working with other SMEs of the organization such as data stewards to understand how the data is collected, processed, and stored.
  • Validate data against business rules and industry standards. Verify data accuracy through cross-referencing.
  • Implement data validating procedures to ensure data integrity.
  • Identify data quality issues using a variety of tools and techniques such as data profiling and cleansing. Work with other SMEs to develop metrics that can be used to measure the accuracy, completeness, and consistency of the data.
  • Monitor data quality, assessing and reviewing the data to ensure it meets the organization’s standards. Develop and run tests or use dashboards to track the health of the data.
  • Collaborate with other data professionals to ensure data quality is integrated across the entire data lifecycle, work closely with other professionals including data analysts and engineers.
  • Collaborate on data modelling and working with data architects to ensure the structure and quality is considered during the designing and implementation of systems.
  • Create and distribute ad-hoc reports, standard reports, and dashboards based on requestor’s detailed requirements.
  • Supports Leadership with ad-hoc assignments.

Who You Are:

  • Bachelor's Degree in the field of Statistics, Computer Science, Business Administration or related field of study
  • Between 3-5 years of experience in in-depth analysis, using reporting tools and data sets
  • Proficient in Microsoft Office with highly developed skills in Excel. Proficiency in using spreadsheets to arrange, manipulate, format, and prepare large amounts of information. Proficiency in Python, SQL and Power BI.
  • Highly effective analytical and problem-solving skills - Thorough understanding of Big Data Analytics and processes.

Monster Energy provides competitive total compensation. The estimated hourly pay range for this position is listed below. Actual compensation may vary based on skills, qualifications, experience, and work location.

Pay Range

$35.33 - $47.11 USD

For United States applicants:
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