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

Responsibilities:  

• Utilise 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. 

Required Skills:

• Familiarity with cloud platforms and big data technologies (e.g., AWS, GCP, Azure). 
• Understanding of database design and data warehouse principles.
• Strong understanding of investment data, good to have 
• 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 organisational and interpersonal skills.   
• Exceptional problem-solving abilities.   

Education and Experience:  

• Bachelor’s degree in data analytics, statistics, accounting, computer science, or related discipline. 
• 4+ years of relevant experience in data analytics, reporting, and visualisation. 
• Hands-on experience with SQL and NoSQL databases 
• Experience with data integration and exchange, transfer, load processes. 
• Experience with data visualisation tools such as Tableau, Power BI, or D3.js. 
• Familiarity with dbt/Prophecy good to have, but not essential