The role involves collaborating with data professionals, engineers, and business experts to identify and address data needs. The individual will collect and analyze business use cases and requirements to translate them into actionable insights for client data products. Responsibilities include managing large datasets, maintaining data integrity, and communicating findings to stakeholders across various sectors. The position requires conducting detailed data analysis, including data content, lineage, and governance. Additionally, the role entails creating reports and documentation to demonstrate the value of delivered work while staying current with data analytics applications.

Candidates must possess at least five years of experience in data, consulting, or analytics functions involving quantitative analysis. Proficiency in query languages such as SQL, Hive, Pig, Python, and R is required, alongside expertise in data visualization tools like PowerBI, Qlik, and Tableau. The role demands extensive experience in the telecommunications, media, insurance, or public sectors. While not mandatory, a Bachelor of Science degree in Mathematics, Economics, Computer Science, Information Management, or Statistics is considered a plus.