Senior Data Analyst - Cyber Data Ops | SQL & Python

Madison-Davis, LLC; Charlotte (NC); On-site; USD 80,000 - 120,000; Full time

Job summary

Madison-Davis, LLC is seeking a Senior Data Analyst in Charlotte, North Carolina, to support a cyber data operations initiative. The ideal candidate will leverage strong SQL and data analysis skills, collaborating with stakeholders to translate findings into technical documentation that ensures high-quality data delivery. Responsibilities include analyzing data sources, writing specifications, and using Python for data inspection. Strong communication and problem-solving skills are essential for this role.

Qualifications

• Strong hands-on SQL experience.
• Ability to translate business and technical requirements into clear technical documentation.
• Experience working with APIs and REST-based data sources.
• Python experience for data analysis, ideally with pandas.
• Strong communication skills and confidence working with cross-functional stakeholders.
• Ability to balance detail, accuracy, and delivery speed.
• Experience supporting data engineering or data warehouse initiatives.
• Strong problem-solving skills and a structured analytical mindset.

Responsibilities

• Analyze upstream data sources and assess structure, quality, and usability.
• Write detailed technical specifications and developer-ready documentation.
• Partner with stakeholders and technical owners to gather and refine requirements.
• Use SQL to extract, profile, and validate large data sets.
• Work with REST APIs to understand and assess source system data.
• Use Python and pandas to inspect, transform, and analyze data.
• Support data scrubbing and source validation activities for downstream ingestion.
• Collaborate with engineering teams to clarify requirements and resolve data issues.

Skills

SQL

Data analysis

Python

REST APIs

Communication skills

Problem-solving

Tools

pandas

Job description

Madison-Davis, LLC is seeking a Senior Data Analyst in Charlotte, North Carolina, to support a cyber data operations initiative. The ideal candidate will leverage strong SQL and data analysis skills, collaborating with stakeholders to translate findings into technical documentation that ensures high-quality data delivery. Responsibilities include analyzing data sources, writing specifications, and using Python for data inspection. Strong communication and problem-solving skills are essential for this role.