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Data Quality Officer

Full time at McDonald's Philippines (Golden Arches Development Corporation) in Philippines
Posted on May 8, 2024

Job details

McDonald’s is the largest fast-food chain with over 40,000 employees serving Filipinos all over the Philippines, and we are continuously on the lookout for high-caliber talents to join our growing team! With us, working means an opportunity to grow with our limitless career opportunities, and experience an empowering, inclusive and safe work environment. What you will do:

  • Implements and enforces Data Policies and Processes, focusing on Data Quality, User Testing, Master Data, and Data Life Cycle Management
  • Monitors and addresses Data Quality issues, ensuring that new solutions adhere to Data Quality standards
  • Enhances data accuracy through Master Data Management practices and collaborates with Third-Party data vendors in alignment with the company’s data strategy
  • Defines and measures Data Quality metrics for each data element
  • Promotes the integration of Data Privacy & Security Principles into the company's data practices
  • Creates Data Quality Dashboards and Analysis for accuracy and completeness
  • Develops program for data quality assessment and validation
  • Assesses and provides regular reports on the quality of data
  • Collaborates across different functions to ensure smooth coordination for projects
What we are looking for:
  • Bachelor's Degree in Data Science, Computer Science, Information Technology, Economics, Information Systems, Statistics, Applied Math, Business Administration, or any related course
  • With at least 2 years of experience as a Data Analyst, Data Governance Specialist, Data Steward, Data Quality Analyst, or equivalent competency
Who you will work with: Be part of the integral and vital team which contributes to the company’s over-all success! With their high level of technological knowledge, the team is always in their A-game to provide their technical support and service to improve the entire company’s ability to function efficiently and effectively.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Analyst, Science, Information Technology
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