Data Quality Analyst

Overview

Support Equinix's Enterprise Data and Analytics Data Governance organization in maintaining high-quality, trusted data across key systems, through data quality monitoring, issue investigation, documentation and execution of data governance processes.

What you'll do

• Help update and maintain data quality rules (DQ FRD), metadata and standards across data domains.
• Support senior analysts in gathering requirements from data owners and stewards.
• Work with the Data Governance team and system owners to ensure rules and processes meet internal policies and standards.
• Help validate consistency of DQ rules across Source Systems (SORs).
• Assist data owners and stewards in defining measurable DQ metrics and thresholds.
• Help document KPIs and maintain metadata repositories.
• Participate in process reviews and contribute suggestions to streamline Data Quality workflows.
• Assist in executing cleansing and enrichment tasks as part of the LTC Account and Contact Data Migration.
• Perform data validation, profiling and documentation activities under guidance.
• Assist in managing version control for DQ rules, definitions and glossary updates.
• Document changes and ensure proper review and approval processes are followed.
• Assist with running automated data quality checks and reviewing results.
• Support dashboard updates by providing data extracts, validation checks and documentation.
• Monitor DQ rule results and highlight anomalies or trends to senior analysts.
• Help document and track data quality issues, remediation steps and root-cause insights.
• Collaborate with data owners and stewards to gather information needed for issue investigation and resolution.
• Prepare initial drafts of DQ reports or summaries for review.
• Support data quality alignment activities with the GMPO Data Quality team.
• Learn and apply data quality best practices through hands-on work and mentorship.

What you'll need

• Bachelor's degree in Data Science, Information Systems, Computer Science, Statistics, Business Analytics, or related field.
• 1–2 years of experience in Data Quality, Data Analytics, or related work (internships and academic projects acceptable).
• Basic SQL skills and willingness to grow technical proficiency.
• Familiarity with or exposure to data quality concepts, dashboards, or rule-based validations.
• Ability to analyze datasets, identify issues and communicate findings clearly.
• Strong attention to detail, documentation skills and eagerness to learn.
• Good communication and collaboration skills.

Nice to have

• Foundational cloud certifications (e.g., Google Cloud Digital Leader, AWS Cloud Practitioner, Azure Fundamentals).
• Introductory SQL certifications (e.g., Microsoft DP-900, Google BigQuery SQL).
• Entry-level Data Governance or CDMP Associate certification.
• Exposure to any data quality tools (Informatica DQ, Talend, Collibra DQ, etc.).