ATPCO is the foundation of flight shopping, providing pricing and retailing data, tools, and services to 500+ airlines, global distribution systems, sales channels, and technology companies. ATPCO links the entire airline community together, collaborating to develop industry standards for airline distribution and end-to-end technology solutions. From shopping to settlement, ATPCO solutions work seamlessly across existing, new, and evolving technologies and methods. Airline-owned and reliably supporting air travel for more than 55 years, ATPCO is everywhere people buy flights.
Employees are eligible for our benefits package including employer matched 401(k), group health insurance and wellness programs, paid time off, tuition reimbursement, standby flight program and employee collaborated work and life standards.
We consider qualified applicants for employment without regard to race, gender, age, color, religion, national origin, citizenship status, marital status, disability, sexual orientation, protected military/veteran status, gender identity or expression, genetic information, marital status, medical condition, or any other legally protected factor.
As a Data Quality Analyst, you will play a critical role in ensuring the integrity, accuracy, and adherence to standards of the data within our organization. Your primary responsibility will be to interrogate data sources, assess data quality, and implement measures to enhance and maintain high data standards. You will collaborate closely with data scientists, vendors, quality assurance analysts, and other stakeholders to proactively identify and rectify data quality issues, ensuring that our organization makes informed decisions based on reliable and trustworthy data.
You Will:
Evaluate and interrogate various data sources to assess the quality, accuracy, and completeness of the data
Develop and implement data quality assurance processes and standards to ensure consistent and reliable data across the organization
Create and maintain documentation outlining data quality procedures and guidelines
Utilize data profiling tools and techniques to analyze data structures, patterns, and anomalies
Identify and investigate data inconsistencies, outliers, and errors
Proactively identify data quality issues and collaborate with relevant teams to address and rectify them
Work closely with data engineers to implement data cleansing and enrichment processes
Design and execute data validation and testing procedures to verify the accuracy and reliability of data transformations and integrations
Collaborate with development teams during testing phases to ensure data quality standards are met
Communicate effectively with data owners, suppliers, analysts, and other stakeholders to understand data requirements and address quality concerns
Provide training and support to teams on best practices for maintaining data quality
Continuously monitor and evaluate data quality metrics, seeking opportunities for improvement
Propose and implement enhancements to data quality processes and tools
The Ideal Candidate:
Excellent analytical and problem-solving skills with a keen attention to detail.
Strong communication skills to collaborate with external data suppliers and internal teams.
All your information will be kept confidential according to EEO guidelines.
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