Senior Technical Data Analyst

Global Financial Firm located in Tampa, FL has an immediate contract opportunity for a Senior Technical Data Analyst.

Pay rate range: $ 71.00 - $ 75.00 Negotiable based upon years of experience

Work Mode: Hybrid

Location: Tampa, FL

Summary:

• Immediate contract opportunity for a Senior Technical Data Analyst.
• Hybrid schedule with 3 days in the office weekly depending on team requirements.

Responsibilities:

• Analyze complex financial data 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 using SQL, Python, and other data analytical tools.
• Automate manual tasks and develop data reconciliation and quality checks using programming languages like Python.
• Develop data analytical reports and dashboards based on business requirements.
• Address and resolve complex data-related issues, ensuring data integrity and accuracy.
• Collaborate with team members and business partners to identify efficient solutions.
• Communicate technical solutions and findings to both technical and non-technical stakeholders.
• Provide inputs during development and implementation phases for complex projects.
• Manage multiple program sub-streams and aid in developing technology solutions.
• Identify inefficiencies and automation solutions in existing processes.
• Act as a subject matter expert to senior stakeholders and 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 or leading other data analysts.
• Excellent written and verbal communication skills.
• Strong interpersonal and teamwork skills.
• Experience identifying and implementing process improvements.
• Awareness and understanding of AI/ML tools and techniques in data analytics.

Preferred Skills:

• Practical experience applying AI/ML techniques in data analysis projects.
• Exposure to data visualization tools such as Tableau and Power BI.

Education:

• Bachelor’s degree in Business, Finance, Data Science or Analytics, Statistics, Engineering, or similar fields.