Sr. Technical Data Analyst

Job Summary:  

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:  

• 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. 

Required Skills:   

• 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.   

Education and Experience:  

• Bachelor’s degree in data analytics statistics accounting computer science or related discipline. 

• 5+ 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. 

What We Do

CWAN was founded on a simple belief: investment professionals deserve modern technology that actually works for them. Not legacy systems that slow them down. Not fragmented data that creates confusion. But one comprehensive platform that gives you complete visibility and crystal-clear insights. The result? Investment management that works as seamlessly as your investment strategy. Since our founding in 2004 CWAN has been the trusted technology partner powering the world’s leading institutional investors — from insurance companies asset managers and hedge funds to asset owners like corporations endowments and pension funds managing over $10 trillion in assets.

Why Work With Us

We continue to grow fueled by a strong foundation an ambitious vision and a commitment to delivering exceptional value to our clients partners and team members around the world. What started as a bold idea in Boise Idaho has rapidly transformed into a global presence. We’ve expanded our footprint significantly—now operating out of 24 offices

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