Technical Data Analyst

Job Summary The Technical Data Analyst is responsible for maintaining investment data for clients. This role involves analyzing and organizing raw data, building data systems and pipelines, conducting complex data analysis, and presenting information through data visualization techniques. The analyst collaborates with clients and project management teams to understand both customer and company needs, merging data from various sources to improve data quality and reliability.

Responsibilities Decipher and organize raw data, transforming it into valuable insights. Build efficient and robust data systems and pipelines to ensure seamless data flow. Dive into complex data sets, conducting thorough analysis and delivering insightful reports.

Showcase findings using cutting‑edge data visualization techniques. Combine raw information from multiple data sources into comprehensive and actionable insights. Continuously explore innovative methods to improve data quality and reliability.

Develop and implement analytical tools and programs that empower teams to make data‑driven decisions. Collaborate closely with system architects and product development teams to foster 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 a 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, and load processes. Experience with data visualization tools such as Tableau, Power BI, or D3.js. Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification.

We are dedicated to building a diverse, inclusive and authentic workplace, so if you are excited about this role but your past experience doesn’t align perfectly with the job description, we encourage you to still apply! You may be just what we’re looking for. #J-18808-Ljbffr