Principal Data Analyst

Principal Data Solutions Analyst

Salary: $110,300 - $155,800.

• Annual FTO days (Flexible Time Off): 20

• Under limited direction, prototype and develop data solutions to meet organizational and business customer needs.
• Demonstrate a working understanding of complex multi-tier, multi-platform systems, and apply principles of metadata, lineage, data dependencies and hierarchy, business definitions, compliance, and data security to project work.
• Use critical thinking to synthesize varied requirements into actionable, flexible solutions.
• Design proof-of-concept solutions using an advanced understanding of financial insurance concepts and multiple coding languages to meet technical and business requirements; perform iterative testing to ensure specifications are met.
• Serve as a technical guide and mentor for junior associates.
• Manage multiple priorities while maintaining strong attention to detail and ensuring tasks are completed accurately and timely.
• Design and develop data solutions that enable effective self-service data consumption and clearly communicate their value to the customer.
• Assist stakeholders in defining metrics that are impactful to the business.
• Prioritize work based on customer value and demonstrate strong knowledge of Agile techniques.
• Foster cross-functional collaboration between business and technology teams.
• Set expectations for deliverables of high complexity.
• Stay current on new technologies and apply them as needed to advance initiatives.
• Identify opportunities to apply Gen AI for data discovery, lineage summarization, automated documentation, general productivity (prompt engineering and code generation).

• Strong written and oral communication skills required.
• Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred.
• Master`s in same or related disciplines strongly preferred.
• Senior: 3-5 years experience in coding for data management, data warehousing, or other data environments.
• Principal: 5-7 years experience in coding for data management, data warehousing, or other data environments.
• Experience in Python and Snowflake.
• Experience with financial data.