DATA QUALITY ANALYST JOB DESCRIPTION

The main responsibility is to ensure that the data used within the organisation is accurate, consistent, and reliable. You'll be tasked with identifying data issues, developing strategies to address them, and implementing quality control measures to maintain high standards across datasets.

You should have strong analytical skills to spot trends or anomalies in data. Proficiency in SQL and data manipulation tools is essential for querying databases and performing data validation. Attention to detail, problem-solving ability, and excellent communication skills are also crucial for collaborating with different teams.

A degree in a relevant field such as Computer Science, Data Science, or Statistics is often preferred. Some experience with data analysis and quality assurance is valuable, as well as familiarity with data management best practices. A proactive mindset to continuously improve data quality is highly regarded.

Data drives critical decisions, and this plays a vital role in ensuring the accuracy of those decisions. By maintaining high data standards, you help the organisation avoid costly mistakes, improve efficiency, enhance customer satisfaction, and build trust in data-driven strategies.

Absolutely! Collaboration is a key component of the job. You'll work closely with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements, identify issues, and implement solutions. By fostering a culture of data quality, you contribute to the overall success of the organisation's data initiatives.