Enterprise Data Analytics Lead — Insights & Automation

Raymond James; Saint Petersburg (FL); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, and vision

Life insurance

Disability insurance

Retirement savings

Paid time off

Parental leave

Job summary

Raymond James is seeking an experienced Lead Data Analyst to join our Enterprise Data Analytics team. This role delivers complex data analysis, reporting, and analytical solutions supporting regulatory, risk, and business initiatives across the firm.

In this hybrid role, you will partner with stakeholders and data teams to translate requirements into scalable data solutions, leading advanced SQL work, data modernization, and automation efforts.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8–10 years in data analytics, BI, or related fields.
• Advanced SQL expertise with data reconciliation and validation.
• Experience with enterprise data warehouses and cloud platforms.
• Strong analytical, problem-solving, and documentation skills.

Responsibilities

• Lead complex data analysis and reporting initiatives across the firm.
• Gather requirements and translate them into scalable data solutions.
• Perform data extraction, transformation, reconciliation, and validation.
• Develop, optimize, and maintain SQL queries for reporting needs.
• Provide technical leadership and mentor other analysts.

Skills

SQL

Data analytics

Python

Tableau

Power BI

Data governance

ETL

Snowflake / Redshift

Education

Bachelor's degree in Computer Science, IT, Data Analytics, IS, Finance, or related field

Tools

AWS Redshift

S3

Athena

Glue

Job description

Raymond James is seeking an experienced Lead Data Analyst to join our Enterprise Data Analytics team. This role delivers complex data analysis, reporting, and analytical solutions supporting regulatory, risk, and business initiatives across the firm.

In this hybrid role, you will partner with stakeholders and data teams to translate requirements into scalable data solutions, leading advanced SQL work, data modernization, and automation efforts.