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What you will be doingAs a Data Quality Analyst your primary priority is to ensure that the data used by the company is accurate, complete, and consistent.
You will be ensuring that the data used by the company is of high quality, which would elevate the business decision-making, improves operational efficiency, and enhances customer satisfaction.
This role also provides continuous automated and manual testing of data sets for use in internal data systems and for delivery from internal systems.As part of your essential functions you will have to:Identify data quality issues and working with other teams to resolve them.Establish data quality standards and metrics: The data analyst/engineer would work with stakeholders to define the quality standards that data must meet, and establish metrics to measure data quality.Monitor data quality: The data analyst/engineer would monitor data quality on an ongoing basis, using automated tools and manual checks to identify issues.Investigate data quality issues: When data quality issues are identified, the analyst/engineer would investigate them to determine their root cause and work with other teams to resolve them.Develop data quality processes: The analyst/engineer would develop processes to ensure that data is checked for quality as it is collected and processed, and that data quality issues are addressed promptly.
This stage includes the use of tools and technology in order to promote efficiency in the data check activities.Train stakeholders: The analyst/engineer would train other stakeholders in the company on data quality best practices,



to ensure that everyone is working towards the same quality goals.Promote improvements in the development process in order to ensure the integrity and availability of the data.Some other responsibilities are:Provide technical directions and mentor other data engineers about data quality.Perform data validity, accuracy, and integrity test across different components of the Data Platform.Build automated test framework and tools to automate the Data Platform services and applications.Automate regression tests and perform functional, integration, and load testing.Articulate issues to BI developers during meetings and particularly in the daily standups.Articulate issues to data engineers and analysts during meetings and particularly in the daily standups.Triage production-level issues if data is affected, and work with the involved teams until the issues are resolved.Proactively solve problems and suggest process improvements.Provide test case coverage and defect metrics to substantiate release decisions.Knowledge and skills you need to haveBachelor in Computer Science or Information Systems or 3+ years' experience with corporate data management systems in high-compliance contexts.3+ years of experience writing complex SQL on large customer data sets (complex queries).
High proficiency in relational or non-relational databases.Knowledgeable about industry data compliance strategies and practices, such as continuous integration, regression testing, and versioning.Familiarity with Big Data environments, dealing with large diverse data sets.Experience with BI projects.Strong scripting experience with any of the scripting languages.Accountability for receiving challenges.Excellent communication skills, with the ability to drive & collaborate with cross teams.Bonus points for the followingAdditional requirements, not essential but "nice to have".
Python experience (for data analysis - Airflow)Benefits:22 days of annual leave10 days of public/national holidaysHealth insurance optionsAccess to online learning platformsOn-site English classes in some countries, and more.
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Postúlate en Kit Empleo: kitempleo.com.ar/empleo/q1ku3

📌 Data Quality Analyst (Buenos Aires)
🏢 Paramo Technologies
📍 Buenos Aires