
Senior Technical Data Analyst
Axelon Services · TAMPA, FL · Hybrid
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- Publishes a salary range
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.
Skills
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