Data Quality Analyst

Why work with us?

We are a fast-growing company that is revolutionizing the world of data in Latin America!

CIAL Dun & Bradstreet is the leading provider of business decisioning solutions and commercial data across Latin America and the Caribbean. Our solutions are designed to transform how businesses manage risk and make critical decisions about the companies they rely on.

At CIAL, we firmly believe that every team member plays a critical role towards achieving our goal of enabling businesses to thrive in any economic environment.

It’s our people, not technology, that makes what we do possible. It’s our people, not data, that turns information into insights. And it’s our people, not algorithms, that cares to help our clients make better informed decisions.

We are innovative, agile, and inspired by data – and we are looking for people that share those values to join our mission to build stronger businesses!

Join the data-revolution!

The role :

The Data Quality Analyst will be responsible for ensuring the integrity, accuracy, and consistency of the data used across the organization. Through critical analysis and continuous improvement of data processes, this role will contribute to more informed decision-making and increased operational efficiency.

What will you do :

• Monitor and improve data collection processes, ensuring their efficiency, consistency, and alignment with established standards.
• Conduct in-depth analysis of collected data to assess its quality, considering dimensions such as completeness, uniqueness, validity, and consistency.
• Verify compliance with business rules or specific criteria defined for each data source.
• Identify data quality issues and propose solutions for correction and prevention.
• Focus on ensuring the quality of data flowing through the organization’s systems and processes.
• Prepare clear and structured reports, presenting findings, conclusions, and recommendations both in writing and through oral presentations.
• Use data handling and analysis tools, such as Python and SQL, to develop validation, cleansing, and monitoring processes.
• Collaborate with cross-functional teams, providing a critical and technical perspective on the state and reliability of the data.

What are we looking for :

What we offer :

CIAL provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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