Sr. Technical Data Analyst

The Technical Data Analyst is responsible for maintaining investment data for clients.

Responsibilities

• 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.
• Utilize your analytical expertise to decipher and organize raw data, transforming it into valuable insights.
• Build efficient and robust data systems and pipelines, ensuring seamless data flow.
• Dive into complex data sets, conducting thorough analysis and delivering insightful reports on outcomes.
• Showcase your findings using cutting-edge data visualization techniques, making data come to life.
• Harness the power of multiple data sources, combining raw information into comprehensive and actionable insights.
• Continuously explore innovative methods to improve data quality and reliability, contributing to the highest standards.
• Develop and implement analytical tools and programs that empower teams to make data-driven decisions.
• Collaborate closely with system architects and product development teams, fostering an environment of innovation and excellence.
• Engage directly with clients and project management teams, gaining a deep understanding of customer and company needs.
• Play an integral role in creating, implementing, and maintaining investment data for Clearwater's esteemed clients.

Requirements

• Deep understanding of investment data.
• Familiarity with cloud platforms and big data technologies (e.g., AWS, GCP, Azure).
• Understanding of database design and data warehouse principles.
• Knowledge of one or more programming languages (e.g. Java, Python, VBA).
• Proficiency in data manipulation and data cleansing techniques.
• Knowledge of data governance and best practices in data management.
• Continuous improvement mindset for self and team.
• Ability to work collaboratively in a cross-functional team environment.
• Ability to work with large datasets and perform data mining tasks.
• Strong computer skills, including proficiency in Microsoft Office.
• Excellent attention to detail and strong documentation skills.
• Outstanding verbal and written communication skills.
• Strong organizational and interpersonal skills.
• Exceptional problem-solving abilities.
• Bachelor’s degree in data analytics, statistics, accounting, computer science, or related discipline.
• 7+ years of relevant experience in data analytics, reporting, and visualization.
• Hands-on experience with SQL and NoSQL databases.
• Experience with data integration and exchange, transfer, load processes.
• Experience with data visualization tools such as Tableau, Power BI, or D3.js.