Senior Data Analyst — Tampa, FL

Role Overview

We are seeking a Senior Data Developer with strong hands-on experience in Oracle PL/SQL, Python, data warehousing, and data analytics. This role will focus on analyzing complex financial data, developing scalable reporting solutions, automating data processes, and delivering accurate insights that support finance, risk, and operational decision-making.

The ideal candidate can work across technical and business teams, manage multiple workstreams, resolve complex data issues, and communicate solutions clearly to both technical and non-technical stakeholders.

Key Responsibilities

• Analyze complex financial data to identify trends, patterns, anomalies, and potential data-quality issues.

• Develop and optimize complex SQL and Oracle PL/SQL queries, procedures, functions, and triggers.

• Build reporting and analytical solutions using SQL, Python, and related tools.

• Automate manual processes, data reconciliations, and quality-control checks using Python.

• Develop reports and dashboards based on business and technical requirements.

• Perform data profiling, validation, root-cause analysis, and issue resolution to maintain data integrity.

• Collaborate with technology, finance, risk, operations, and other business partners.

• Translate complex technical solutions into clear communications for technical and non-technical audiences.

• Contribute to project scope, objectives, technical designs, and enhancements for high-impact initiatives.

• Manage multiple workstreams and drive technology solutions from analysis through implementation.

• Review existing processes and identify opportunities for automation, efficiency, and improved controls.

• Prepare architectural proposals, technical documentation, and communications for senior stakeholders.

• Serve as a subject-matter expert and mentor team members and business partners.

Required Qualifications

• 8–10 years of experience in senior data development, data analytics, or a closely related role.

• Advanced hands-on expertise in Oracle PL/SQL, including complex queries, stored procedures, functions, and triggers.

• Strong Python programming skills for data analysis, process automation, reconciliation, and data-quality validation.

• Solid understanding of relational databases, data warehousing, query optimization, and database performance tuning.

• Experience with data analysis, data profiling, reconciliation, and data-quality practices.

• Demonstrated ability to lead or mentor data analysts, developers, or technical team members.

• Strong written, verbal, consulting, and stakeholder-management skills.

• Experience managing multiple projects or workstreams in a cross-functional environment.

• Demonstrated success improving processes through automation and technology solutions.

• Working knowledge of AI and machine-learning concepts such as predictive modeling, natural language processing, and machine learning.

Preferred Qualifications

• Experience with Tableau, Power BI, or a comparable data-visualization platform.

• Experience working with financial-services data, reporting, risk, finance, or operational analytics.

• Practical experience applying AI or machine-learning techniques to data analytics.

Why yhs?

At yhs, we believe in advancing lives and careers. When you join our team, you gain access to:

• Competitive compensation and benefits.

• Opportunities for growth with global clients.

• A supportive, inclusive culture that values innovation and people.

• Exposure to cutting-edge technologies and projects.

About Our Commitment

yhs is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status.

Interested? Apply Now!

If this sounds like the right opportunity for you, please apply with your most recent resume.