Senior Data Analyst

Role Overview

We are seeking a hands-on Data Analyst (not an engineering role) with strong SQL expertise and experience in Snowflake data warehousing, ETL pipeline development, and enterprise reporting. This position requires AI and Cortex proficiency as core skills. The analyst will collaborate with the data team to design analytics-ready datasets, support reporting initiatives, and contribute to long-term architecture planning.

• Location: Altamonte Springs, FL - Hybrid (Onsite 1st Wednesday each month)
• Type: 6-month contract with potential extension or hire

• Develop and maintain SQL queries, ETL/ELT pipelines, and data transformations.
• Work with Snowflake to build and optimize data models and reporting datasets.
• Support enterprise reporting using tools such as Power BI or Sigma.
• Collaborate with cross-functional teams to deliver analytics solutions.
• Assist in defining data flows, transformation logic, and warehouse structures.
• Participate in SDLC processes and support production data environments.
• Document processes and ensure data quality across large, complex datasets.
• Contribute to future architectural planning and platform modernization.

• Strong SQL expertise (SQL-heavy role).
• Hands-on Snowflake experience.
• ETL/ELT development experience (Azure Data Factory preferred; Informatica or Oracle Warehouse Builder acceptable).
• Reporting tool experience (Power BI or Sigma preferred).
• Experience with large datasets in business environments.
• Cloud experience (Azure preferred).
• Knowledge of data warehousing concepts, OLAP vs. OLTP, and relational structures.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and manage multiple projects.

• Epic Clarity experience.
• Familiarity with AI-driven analytics and Cortex.
• Understanding of compliance and governance in modern data platforms.

• Senior analyst mindset with strong attention to detail and a collaborative attitude.
• Desire to grow into an architect role, contributing to design and planning.
• Team-oriented, proactive, and adaptable to evolving data platform needs.