Technical Data Analyst

The Technical Data Analyst role involves maintaining investment data for clients by analyzing and organizing raw data, building data systems and pipelines, conducting complex data analysis, and presenting information through data visualization techniques. You will collaborate with clients and project management teams to understand customer and company needs, merge data from various sources, and present it in alignment with requirements while striving to enhance data quality and reliability. Your responsibilities will include utilizing analytical expertise to decipher and organize raw data, building efficient data systems and pipelines, conducting thorough analysis on complex data sets, delivering insightful reports, showcasing findings using data visualization techniques, combining data from multiple sources, exploring innovative methods to improve data quality, and developing analytical tools to empower data-driven decisions. Collaboration with system architects and product development teams is essential to foster innovation and excellence. Required skills for this role include a deep understanding of investment data, familiarity with cloud platforms and big data technologies, knowledge of database design and data warehouse principles, proficiency in programming languages like Java, Python, or VBA, data manipulation and cleansing techniques, understanding of data governance and best practices, continuous improvement mindset, ability to work collaboratively in a cross-functional environment, working with large datasets, data mining tasks, strong computer skills, attention to detail, documentation skills, excellent verbal and written communication, organizational and interpersonal skills, and exceptional problem-solving abilities. The ideal candidate will have a Bachelor's degree in data analytics, statistics, accounting, computer science, or a related discipline, along with 5+ years of relevant experience in data analytics, reporting, and visualization. Hands-on experience with SQL and NoSQL databases, data integration processes, and data visualization tools such as Tableau, Power BI, or D3.js is required for this role.,