Lead Data Analyst – Enterprise Data Analytics

100 Raymond James & Associates, Inc.; Saint Petersburg (FL); Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Benefits

Retirement Savings

Paid Time Off

Parental Leave

Job summary

Raymond James seeks an experienced Lead Data Analyst to join the Enterprise Data Analytics team. You will lead complex data analysis, reporting, and analytical solutions across critical business, operational, risk, and regulatory initiatives.

The role partners with business stakeholders, technology and data teams to translate requirements into scalable data solutions. The ideal candidate offers advanced SQL expertise, strong analytical skills, and experience with large enterprise datasets across

Qualifications

• Advanced hands-on SQL experience with complex query development.
• Experience analyzing and validating large datasets across systems.
• Strong communication and stakeholder management skills.

Responsibilities

• Lead complex data analysis and reporting initiatives across business units.
• Translate business requirements into technical data solutions.
• Mentor analysts and guide data modernization efforts.
• Collaborate with stakeholders, technology teams, and data partners.

Skills

SQL

Data analysis

Stakeholder collaboration

Problem solving

Leadership

Education

Bachelor's degree in CS/IT/Data Analytics/Finance

Tools

AWS Redshift

S3

ETL/ELT

Python/Pandas

Tableau/Power BI

Job description

Job Description Summary

Raymond James is seeking an experienced Lead Data Analyst to join our Enterprise Data Analytics team. This role is responsible for delivering complex data analysis, reporting, and analytical solutions that support critical business, operational, risk, compliance, and regulatory initiatives across the firm. In this highly collaborative role, you will partner with business stakeholders, technology teams, and enterprise data teams to translate complex business requirements into accurate, scalable, and actionable data solutions. The ideal candidate will bring advanced SQL expertise, strong analytical and problem-solving skills, and experience working with large enterprise datasets across multiple systems. You will lead complex analytical initiatives, provide technical guidance to other analysts, and contribute to data modernization efforts, process automation, and the adoption of emerging AI technologies.

Responsibilities

Enterprise Data Analysis & Reporting Lead complex data analysis and reporting initiatives supporting business, operational, risk, compliance, and regulatory needs. Collaborate with stakeholders to gather requirements, define scope, and translate business needs into technical data solutions. Perform data extraction, transformation, reconciliation, and validation across multiple enterprise data sources. Analyze large and complex datasets to identify trends, investigate discrepancies, and deliver actionable insights. Independently manage multiple high-priority analytical requests while ensuring timely and accurate delivery.

Advanced SQL & Data Solutions

Develop, optimize, and maintain complex SQL queries for data extraction, analysis, reconciliation, and reporting. Work with enterprise databases, data warehouses, cloud platforms, and legacy systems. Apply advanced SQL techniques, including joins, CTEs, window functions, aggregations, and performance tuning. Collaborate with enterprise data teams to understand data structures, business rules, data lineage, and source-to-target mappings. Support enterprise data modernization, cloud adoption, and data integration initiatives.

Data Quality & Validation

Develop and execute data validation and reconciliation processes to ensure data accuracy, completeness, and consistency. Investigate data anomalies, perform root cause analysis, and recommend corrective actions. Establish reusable analytical methodologies, validation frameworks, and reporting standards. Ensure appropriate handling of confidential and sensitive data in accordance with enterprise security and governance requirements.

Technical Leadership & Continuous Improvement

Serve as a technical subject matter expert in SQL development, data analysis, and troubleshooting. Provide technical guidance, review analytical solutions, and mentor other analysts. Partner with cross-functional teams to resolve complex data challenges. Identify opportunities to improve efficiency through automation, reusable analytical solutions, and process standardization. Explore and leverage approved AI-powered tools to support data analysis, SQL development, testing, documentation, and automation.

Required Experience

Bachelor’s degree in Computer Science, Information Technology, Data Analytics, Information Systems, Finance, or a related field, or equivalent practical experience. 8–10 years of relevant experience in data analytics, business intelligence, enterprise data management, or related disciplines. Advanced hands‑on SQL experience, including complex query development, optimization, and troubleshooting. Experience analyzing, reconciling, and validating large datasets across multiple systems. Experience with enterprise relational databases, data warehouses, or cloud-based analytics platforms. Strong analytical, problem‑solving, and root‑cause analysis skills. Experience gathering business requirements and translating them into analytical solutions. Strong communication, stakeholder management, and technical documentation skills. Demonstrated ability to lead complex analytical initiatives and provide technical guidance to other analysts.

Preferred Experience

Experience in financial services, wealth management, brokerage, capital markets, risk management, or compliance. Knowledge of financial datasets, including customer accounts, securities transactions, positions, holdings, and balances. Experience with AWS technologies such as Amazon Redshift, S3, Athena, and Glue. Experience with ETL/ELT processes, data pipelines, data integration, and data modernization. Working knowledge of Python and pandas for data analysis, validation, scripting, and automation. Experience with Qlik Sense, Tableau, Power BI, or similar business intelligence platforms. Familiarity with data governance, data lineage, source-to-target mapping, and data quality frameworks. Experience supporting regulatory reporting, investigations, legal discovery, or audit-related data requests. Experience with AI-powered productivity tools such as Microsoft Copilot, ChatGPT, Claude, or similar approved technologies. Experience developing automated reporting, reusable queries, and analytical validation processes.

Education

Bachelor’s - Completed (Required)

Work Experience

General Experience - 6 to 10 years

Certifications

None

Travel

Less than 25%

Workstyle

Hybrid

Total compensation

The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions.

Benefits

This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com.

Company Culture and Values

At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client‑first, integrity, independence and a conservative, long‑term view. We expect our associates at all levels to:

• Grow professionally and inspire others to do the same


• Work with and through others to achieve desired outcomes


• Make prompt, pragmatic choices and act with the client in mind


• Take ownership and hold themselves and others accountable for delivering results that matter


• Contribute to the continuous evolution of the firm

At Raymond James – as part of our people‑first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive.

Equal Opportunity

The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.

About the Company

Raymond James is a diversified financial services company providing wealth management, capital markets, asset management, banking and other services to individuals, corporations and municipalities. Founded in 1962 in St. Petersburg, Florida, rather than on Wall Street, we have always embraced being a different kind of financial services firm. Today, Raymond James has locations and subsidiaries across the United States, Canada, the United Kingdom and Germany, and is listed on the New York Stock Exchange under the symbol RJF.

Employer Branding

Our business is deeply focused on people and their financial well‑being. We're committed to helping individuals, corporations and institutions achieve their goals, while also supporting successful professionals and helping our communities prosper. We believe doing well and doing good aren't mutually exclusive. As an established but ever‑evolving company, you can start – or continue – growing your career here. We invest in you with wide‑ranging benefits and the support of leaders and colleagues who care. From development opportunities and enriching networking groups to prioritizing diversity, inclusion and the power of different perspectives, Raymond James is where good people grow. Our people‑first culture is outlined in our Culture Blueprint. Check it out to see why many choose to work at Raymond James – and why they stay.