Senior Data Developer/ Data Analyst

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.