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# Senior Data Analyst

- **Company:** Everforth Apex
- **Location:** Merrifield, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Data Cleansing, Data Governance, Data Profiling, Data Structures, Monitoring of Systems, Python (Programming Language), Raw Data, Power BI, SQL Databases, Data Processing, Scripting, Pyspark, Information Technology
- **Published:** October 27, 2026
- **Apply:** https://www.dice.com/job-detail/f5362af5-c29a-4a2c-b006-511f2f9c4a2c

## About the Role

Education: Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering, or a similar quantitative field.

Experience: Four to seven years of experience in data analysis and reporting, accompanied by deep knowledge of business area specialization.

Technical Skills: Proficiency in data manipulation and scripting languages such as SQL, Python, or R, alongside experience with data structures and extraction tools such as PySpark and PowerBI. Strong familiarity with AI tools and techniques, data governance principles, and advanced statistical analysis including regression and correlation is required.

## Description

* Collaborate with technology departments and business end-users to define technical requirements, including data definitions, business rules, and data quality standards.
 * Conduct data user acceptance testing (UAT) and perform comprehensive data accuracy, validation, and integrity research.
 * Ensure compliance with deliverable reporting requirements by conducting quality data audits and detailed analysis.
 * Identify and compile data sets using diverse tools to predict, improve, and measure the success of key business-to-business outcomes.
 * Analyze and resolve complex data quality issues utilizing advanced data profiling, cleansing, and monitoring techniques.
 * Develop and implement advanced data cleaning and validation processes, including outlier detection, imputation methods, and anomaly detection.
 * Organize raw data and generate descriptive statistics in support of broader business intelligence and data science initiatives.
 * Partner with data science teams to maintain statistical models for ongoing and ad hoc analysis.
 * Establish strong working relationships with team members and subject matter experts while leading small projects and initiatives.