> Markdown version of [/jobs/ext/3981410-senior-data-analyst](https://www.wearedevelopers.com/jobs/ext/3981410-senior-data-analyst). 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). --- # Senior Data Analyst - **Company:** Mitchell Martin - **Location:** Merrifield, VA, United States - **Experience:** Expert - **Salary:** $97,760.0 - $118,560.0 - **Contract:** Contract - **Skills:** Data Analysis, Data Governance, Data Systems, Python (Programming Language), SQL Databases, Data Processing, Scripting, Information Technology - **Published:** October 28, 2026 - **Apply:** https://www.dice.com/job-detail/9bd2d021-5baa-4fb4-bd02-f3a2340f60f7 ## About the Role This hybrid position requires a skilled data analyst to partner with business stakeholders and other analysts. The role involves understanding business data needs, capturing data requirements, and performing data collection, processing, and cleaning. Candidates should be proficient in advanced data analysis techniques and have experience with various data technologies., * 4-7 years of experience in data analysis and reporting. * Proficient in data manipulation and scripting languages like SQL, Python, or R. * Advanced skills in statistical analysis and data interpretation. * Strong understanding of data governance principles. * Bachelor's Degree in a quantitative field such as Statistics, Mathematics, or Computer Science. ## Description * Collaborate with business stakeholders to understand data requirements. * Perform data collection, processing, and cleaning to support business objectives. * Provide input for complex data science and business intelligence projects. * Work independently to support projects impacting operational goals. * Utilize advanced procedures and analysis techniques., * Develop technical requirements including data definitions and business rules. * Conduct data accuracy, validation, and integrity research. * Identify and compile data sets to predict and measure business outcomes. * Analyze and resolve complex data quality issues. * Lead small projects and initiatives.