> Markdown version of [/jobs/ext/4556006-sr-data-analyst-sql-python](https://www.wearedevelopers.com/jobs/ext/4556006-sr-data-analyst-sql-python). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Data Analyst - SQL + Python - **Company:** Everforth Apex - **Location:** Fairfax, VA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Data Analysis, Information Systems, Data Validation, Data Integration, Relational Databases, Payment Systems, Python (Programming Language), OneStream, SQL Databases, Enterprise Data Management, Git, Information Technology, Software Version Control, Data Pipelines, Databricks - **Published:** November 4, 2026 - **Apply:** https://www.dice.com/job-detail/a79d6e05-d3eb-49ac-9b2a-d49b60a29b55 ## About the Role Education: A bachelor's degree in Computer Science, Information Systems, or a related quantitative field is preferred. Experience: Five or more years of professional experience in data analysis and pipeline development. Technical Skills: Proficiency in SQL and Python is required, alongside strong data modeling experience in relational databases and hands-on experience with Git. Preferred Qualifications * Five or more years of experience utilizing Databricks, OneLake, and OneStream. * Domain knowledge in financial services or payment networks to translate business context into actionable data insights. * Ability to navigate and synthesize disparate or ambiguous data sources. ## Description * Analyze contract data within major payment networks to support ecosystem improvements and data integration. * Design, develop, and maintain data models with a focus on relational databases. * Consolidate and simplify existing scripts and pipelines to improve reusability, performance, and data quality. * Adhere to enterprise data management practices by designing preventative and detective data quality checks. * Manage code, scripts, and collaborative pipeline development using version control systems. * Communicate technical challenges and data anomalies clearly to team members and stakeholders.