Job Title: Senior Data Developer/ Data Analyst
Location: Tampa, FL – 33610 – 9122 | locals only | in-person interviews required
Work Type: Hybrid (3 days onsite, 2 days remote)
Duration: 6+ months Contract
Job Description
We are seeking a Senior Data Developer to join our dynamic team. The ideal candidate will have strong experience in Oracle PL/SQL, Python, data warehousing, and data analytics and a proven ability to deliver accurate insights, automate data processes, and support complex financial data decisions.
Responsibilities:
•Analyze complex financial data to identify trends, patterns, and anomalies for finance, risk, and operations.
•Write and optimize complex SQL and Oracle PL/SQL for extraction, reporting, and analysis, including procedures, triggers, and functions.
•Design reporting solutions and data visualizations using SQL, Python, and analytical tools.
•Automate manual tasks, data reconciliations, and data quality checks with Python.
•Develop analytical reports and dashboards based on business requirements.
•Resolve complex data issues to ensure data integrity and accuracy, collaborating with technology and business partners.
•Communicate technical solutions to technical and non-technical stakeholders.
•Contribute to scope, objectives, and enhancements for complex, high-impact projects.
•Manage multiple workstreams and drive technology solutions from analysis.
•Review and improve existing processes with automation and efficiency focus.
•Author architectural proposals, technical designs, and communications for senior management.
•Act as SME and mentor to stakeholders and team members.
Required Skills & Qualifications:
•8–10 years of hands-on experience as a Senior Data Developer or Data Analytics Lead.
•Expertise in Oracle PL/SQL, including complex queries, procedures, triggers, and functions.
•Proficiency in Python for analytics and automation.
•Strong understanding of relational database concepts and performance optimization.
•Experience with in-depth data analysis, profiling, and data quality practices.
•Demonstrated mentoring or leadership of data analysts.
•Excellent written and verbal communication and consulting skills.
•Proven process improvement and ability to manage multiple projects in cross-functional environments.
•Awareness of AI/ML tools and techniques for analytics, such as machine learning, NLP, and predictive modeling. Practical application is a plus.
Preferred Skills:
•Experience with data visualization tools such as Tableau or Power BI.
•Background in financial services data and reporting.
