Technical Data Analyst – Oracle SQL & Python

Kelly; Tampa (FL); Hybrid; USD 65,000 - 90,000; Full time

Benefits offered by this job

Hybrid work arrangement

Opportunities to work with AI tools

Job summary

Kelly is seeking a hands-on Technical Data Analyst – Oracle SQL & Python in Tampa, FL, with a hybrid work arrangement (2–3 days in office). You will analyze large transactional datasets, translate business questions into data queries, and deliver insights to support business decisions.

Proficiency in Oracle SQL and Python is required, with experience in data visualization tools like Tableau/Power BI. Banking/financial services exposure is a plus, and you’ll work closely with stakeholders to

Qualifications

• Hands-on technical data analysis experience with Oracle SQL and Python.
• Experience working with large transactional datasets in a data-intensive environment.
• Ability to translate business questions into technical data queries.
• Familiarity with data visualization tools and creating actionable insights.
• Strong troubleshooting and communication skills for non-technical stakeholders.

Responsibilities

• Translate business questions into practical data queries and analytical solutions.
• Explore databases, understand table structures, and identify data sources.
• Write and optimize Oracle SQL queries for large transactional data.
• Use Python scripting for data analysis, automation, and quality checks.
• Develop reports/visualizations with Tableau or Power BI as needed.
• Present findings clearly to business and technology stakeholders.

Skills

Analytical thinking

Data visualization understanding

Troubleshooting

Communication to stakeholders

Education

Bachelor's degree in CS/Analytics/Engineering

Tools

Oracle SQL

Python

Tableau/Power BI

PL/SQL

Job description

Immediate Hiring | Technical Data Analyst – Oracle SQL & Python | Tampa, FL (Hybrid) |

The bank is seeking a hands-on Technical Data Analyst / Junior Data Scientist with strong Oracle SQL skills and working knowledge of Python to analyze large and complex datasets. This role involves working with business stakeholders to understand data-related questions, exploring application databases, writing efficient SQL queries, interpreting results, and delivering meaningful insights to support business decisions.

The ideal candidate will have experience working with large transactional datasets in a banking, financial services, insurance, or other data-intensive environment. This is a technical, hands-on analytical role—not a traditional Business Analyst position.

Job Title: Technical Data Analyst – Oracle SQL & Python

Location: Tampa, FL (Hybrid, 2-3 days per week in office)

Duration: 03+ Months (Possible Extension/Conversion)

Key Responsibilities

• Translate business questions and requirements into practical data queries and analytical solutions.
• Explore application databases, understand table structures and relationships, and identify relevant data sources.
• Write, execute, and optimize complex Oracle SQL queries to retrieve and analyze large volumes of transactional data.
• Work with large-scale databases and understand how to query production data efficiently without affecting system performance.
• Apply basic knowledge of database indexing, partitioning, and query execution to improve performance.
• Use Python scripting for data analysis, automation, reconciliation, and data quality checks.
• Analyze data to identify trends, patterns, discrepancies, and anomalies, translating findings into actionable insights.
• Troubleshoot complex data issues and investigate inconsistencies across application data.
• Present technical findings and analytical results clearly to business and technology stakeholders.
• Develop reports and visualizations using tools such as Tableau or Power BI, where required.
• Explore and leverage available AI tools to improve analytical efficiency and productivity.

Required Qualifications

• Hands-on experience in a Technical Data Analyst, Data Analyst, Junior Data Scientist, or similar technical data analysis role.
• Strong working proficiency in Oracle SQL, including complex queries, joins, aggregations, subqueries, and data extraction.
• Practical experience with Python scripting for data analysis and automation.
• Strong understanding of relational databases, table structures, and relationships.
• Experience analyzing large transactional datasets and working with complex application data.
• Basic understanding of database performance optimization, including indexing, partitioning, and efficient query execution.
• Strong analytical thinking, troubleshooting, and practical problem-solving skills.
• Ability to translate business questions into technical queries and communicate findings to non-technical stakeholders.

Preferred Qualifications

• Experience working in banking, financial services, insurance, or other data-intensive industries.
• Exposure to financial, ledger, accounting, risk, or operational data.
• Experience with Oracle PL/SQL, stored procedures, functions, and triggers.
• Familiarity with Tableau, Power BI, or other data visualization tools.
• Exposure to AI-powered tools and their application in data analysis.
• Bachelor's degree in Computer Science, Data Science, Analytics, Statistics, Engineering, Finance, or a related discipline.