Senior Data Developer

Global Financial Firm located in Tampa, FL has an immediate contract opportunity for a Senior Data Developer.Pay Rate: $71.00 - $75.00 Negotiable based upon years of experienceSummary:Location: Tampa, FLWork Mode: Hybrid ScheduleResponsibilities:Analyze complex financial data, identify trends, patterns, anomalies to provide actionable insights to business units such as finance, risk, and operations.Write and optimize complex SQL queries for data extraction, reporting, and analysis.Develop stored procedures, triggers, and functions in Oracle to automate data-related processes.Design and implement reporting solutions, utilizing SQL, scripting languages (Python), and other data analytical tools to deliver meaningful and accurate data visualizations.Leverage programming languages (Python, etc.) to automate manual tasks, develop data reconciliation and data quality checks.Develop data analytical reports/dashboards based on business requirements.Address and resolve complex data-related issues, ensuring data integrity and accuracy.Collaborate with team members, technology partners, and business partners to identify efficient and strategic solutions.Communicate technical solutions and findings to both technical and non-technical stakeholders, ensuring clear understanding of application functions and financial data.Provide inputs during development and implementation phases, including formulation and definition of systems scope, objectives, and necessary system enhancements for complex, high-impact projects.Manage multiple program sub-streams and aid in developing technology solutions based on analysis.Review existing processes critically to identify inefficiencies and automation solutions.Author artifacts such as architectural proposals and technical solutions, and communication materials for senior management and key business partners.Act as SME to senior stakeholders and/or other team members.Requirements:Minimum 8 years of relevant hands-on work experience as a Senior Data Developer or Data Analytics Lead.Expertise in designing and maintaining Oracle PL/SQL queries.Expertise in Python programming.Strong understanding of relational databases.Experience performing in-depth data analysis and data profiling activities.Experience mentoring/leading other data analysts.Strong interpersonal skills and techniques to solve dynamic problems; excellent teamwork skills.Must have excellent written and verbal communication skills, along with strong consulting skills.Experience identifying and implementing process improvement.Solid skills effectively managing multiple small to large projects simultaneously in a cross-functional environment.Awareness and understanding of AI/ML tools and techniques in data analytics (e.g., machine learning algorithms, natural language processing, predictive modeling).Preferred Skills:Practical experience applying AI/ML techniques in data analysis projects is a plus.Exposure to data visualization tools: Tableau, Power BI, etc. (nice to have).Education:Bachelor’s degree in Business, Finance, Data Science or Analytics, Statistics, Engineering, or other similar degrees.

• Minimum 8 years of relevant hands-on work experience as a Senior Data Developer or Data Analytics Lead.
• Expertise in designing and maintaining Oracle PL/SQL queries.
• Expertise in Python programming.
• Strong understanding of relational databases.
• Experience performing in-depth data analysis and data profiling activities.
• Experience mentoring/leading other data analysts.
• Strong interpersonal skills and techniques to solve dynamic problems; excellent teamwork skills.
• Must have excellent written and verbal communication skills, along with strong consulting skills.
• Experience identifying and implementing process improvement.
• Solid skills effectively managing multiple small to large projects simultaneously in a cross-functional environment.
• Awareness and understanding of AI/ML tools and techniques in data analytics (e.g., machine learning algorithms, natural language processing, predictive modeling).

Preferred Skills:

• Practical experience applying AI/ML techniques in data analysis projects is a plus.
• Exposure to data visualization tools: Tableau, Power BI, etc. (nice to have)., * Bachelor’s degree in Business, Finance, Data Science or Analytics, Statistics, Engineering, or other similar degrees.