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Avalore

Data Quality Analyst

Full-Time
$85k - $184k
Entry, Junior, Mid, Senior
Bachelor's
Arlington County, Arlington, VA, USA
In Person
Data & AnalyticsData Management
No H1B Sponsorship

About the job

Requirements
  • Junior roles require 0–3 years of experience and a bachelor's degree.
  • Journeyman roles require 4–7 years of experience and a bachelor's degree.
  • Senior roles require 8 or more years of experience and a bachelor's degree.
  • Junior and journeyman roles require a GSEC, SSCP, or Security+ certification.
  • Senior roles require a CCISO, CISM, CISSP, or GSLC certification.
  • Applicants must have professional proficiency in English.
  • Applicants must be proficient in all Microsoft Office applications.
  • Applicants must be currently authorized to work in the United States on a full-time basis; visa sponsorship is not offered.
  • The role requires the ability to sit at a computer terminal for extended periods, as well as to sit, stand, talk, hear, and use hands and fingers to operate a computer.
  • Up to 10% occasional travel is required.
Responsibilities
  • Monitor and ensure data integrity and accuracy across the Advana platform.
  • Implement data quality tools and processes, define quality metrics, investigate and resolve anomalies, and work with data stewards to enforce standards.
  • Develop and implement data quality assessment frameworks, create and maintain data quality rules and validation checks, and perform regular data quality audits.
  • Analyze data quality issues and their root causes, coordinate with data owners to resolve quality problems, and track data quality metrics over time.
  • Establish data quality monitoring and alerting, develop data cleansing and enrichment procedures, and create reports on data quality status for stakeholders.
  • Participate in data governance activities related to quality, provide guidance on data quality best practices, and collaborate with data engineers to implement quality controls in data pipelines.
  • Develop and maintain data quality documentation, train users on data quality principles and practices, and evaluate data quality tools for potential adoption.

About the company

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