Data Associate

Role Overview: You will be working with large datasets to ensure data accuracy, consistency, and integrity across databases. Additionally, you will partner with Product and Engineering teams to identify and implement process improvements and automation tools to enhance data quality and operational efficiency. Your responsibilities will also include supporting internal teams by creating and maintaining internal reports and dashboards, diagnosing and highlighting data pipeline issues, and responding promptly to data-related inquiries and requests from clients, internal teams, and external data providers/partners. Furthermore, you will collaborate with regional teams on shared operational workflows and cross-functional projects, maintain and update team resources and procedural documentation, and conduct daily verification checks to ensure the accuracy and timely availability of client portfolio data, adhering to defined SLAs. Key Responsibilities: - Work with large datasets to ensure data accuracy, consistency, and integrity across databases - Partner with Product and Engineering teams to identify and implement process improvements and automation tools to enhance data quality and operational efficiency - Support internal teams by creating and maintaining internal reports and dashboards - Diagnose and highlight data pipeline issues, escalating complex problems as needed - Respond promptly to data-related inquiries and requests from clients, internal teams (Sales, Services), and external data providers/partners - Collaborate with regional teams on shared operational workflows and cross-functional projects - Maintain and update team resources and procedural documentation, and ensure accurate recording of metrics for internal reporting and analytics - Conduct daily verification checks to ensure the accuracy and timely availability of client portfolio data, adhering to defined SLAs Qualifications Required: - Bachelor's degree in a relevant field (Mathematics, Statistics, Data Science, Finance, Economics, or related disciplines) - Strong understanding of data management and analytics - Proficiency in Excel and/or other data analysis tools - Excellent communication and interpersonal skills for engaging with internal and external data partners - Consistent track record of multitasking and prioritizing effectively in a fast-paced environment, and remaining calm under pressure (Note: No additional details about the company were provided in the job description),