> Markdown version of [/jobs/ext/4380045-senior-data-analyst](https://www.wearedevelopers.com/jobs/ext/4380045-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:** Tandym Tech - **Location:** Vienna, VA, United States - **Experience:** Expert - **Contract:** Contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Big Data, Data Cleansing, Data Governance, Data Integrity, Data Transformation, Statistical Hypothesis Testing, Python (Programming Language), Power BI, SQL Databases, Technical Data Management Systems, Data Processing, Scripting, Pyspark - **Published:** October 31, 2026 - **Apply:** https://www.dice.com/job-detail/4abdd020-8d1e-4e8f-b3b4-25ae05ce6370 ## About the Role 4 to 7 years of experience in data analysis, reporting, or a related analytical role * Bachelor's degree in a quantitative or technical field * Strong hands-on experience with SQL and scripting in Python or R for data manipulation and analysis * Advanced experience with data cleansing, preprocessing, validation, troubleshooting, and data quality management * Experience with statistical analysis techniques, including distributions, variance, correlation, regression, and hypothesis testing Desired Skills: * Experience using AI-assisted analytical tools * Exposure to Power BI and PySpark * Understanding of data governance practices ## Description An established financial services organization in Vienna, Virginia is seeking a Senior Data Analyst to support data analysis, reporting, and business intelligence initiatives., * Partner with business stakeholders, analysts, and technology teams to gather requirements and translate them into technical data solutions * Analyze, clean, process, and validate large datasets to support reporting, business intelligence, and data science initiatives * Define data requirements, business rules, data definitions, and quality standards * Perform data quality audits, reconciliation, UAT, and accuracy testing to ensure data integrity * Apply statistical techniques and collaborate with cross-functional teams to deliver analytical insights and support ongoing initiatives