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This role involves tasks such as analyzing and organizing raw data, building data systems and pipelines, conducting complex data analysis, and presenting information through data visualization techniques. Additionally, the analyst collaborates with clients and project management teams to grasp customer and company needs. It also requires the ability to merge data from various sources and present it in alignment with customer/company requirements, while also striving to improve data quality and reliability.\nResponsibilities:\nUtilize your analytical expertise to decipher and organize raw data, transforming it into valuable insights. \nBuild efficient and robust data systems and pipelines, ensuring seamless data flow. \nDive into complex data sets, conducting thorough analysis and delivering insightful reports on outcomes. \nShowcase your findings using cutting-edge data visualization techniques, making data come to life. \nHarness the power of multiple data sources, combining raw information into comprehensive and actionable insights. \nContinuously explore innovative methods to improve data quality and reliability, contributing to the highest standards. \nDevelop and implement analytical tools and programs that empower teams to make data-driven decisions. \nCollaborate closely with system architects and product development teams, fostering an environment of innovation and excellence. \nEngage directly with clients and project management teams, gaining a deep understanding of customer and company needs. \nPlay an integral role in creating, implementing, and maintaining investment data for Clearwater's esteemed clients. \nRequired Skills:\nDeep understanding of investment data. \nFamiliarity with cloud platforms and big data technologies (e.g., AWS, GCP, Azure). \nUnderstanding of database design and data warehouse principles. \nKnowledge of one or more programming languages (e.g. Java, Python, VBA). \nProficiency in data manipulation and data cleansing techniques. \nKnowledge of data governance and best practices in data management. \nContinuous improvement mindset for self and team. \nAbility to work collaboratively in a cross-functional team environment. \nAbility to work with large datasets and perform data mining tasks. \nStrong computer skills, including proficiency in Microsoft Office. \nExcellent attention to detail and strong documentation skills. \nOutstanding verbal and written communication skills. \nStrong organizational and interpersonal skills. \nExceptional problem-solving abilities. \nEducation and Experience:\nBachelor’s degree in data analytics, statistics, accounting, computer science, or related discipline. \n7+ years of relevant experience in data analytics, reporting, and visualization. \nHands-on experience with SQL and NoSQL databases. \nExperience with data integration and exchange, transfer, load processes. \nExperience with data visualization tools such as Tableau, Power BI, or 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