Senior Data Analyst

Senior Data Analyst

Location: Merrifield, Virginia (Hybrid)

Role Overview

We are seeking a senior professional to partner with business stakeholders and analysts to understand business data needs, capture data requirements, and perform data collection, processing, and cleaning. The successful candidate will provide inputs for complex data science and business intelligence projects while performing analytical work on large data sets to support organizational objectives. Operating under minimal supervision, you will utilize a complete understanding of business goals to support projects that significantly impact operational achievements.

Key Responsibilities

• 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.

• Required Qualifications

• 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.

Benefits

• Overview: A range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans. An employee stock purchase program and a 401K program with company match after 12 months of tenure. Health Savings Account options, an Employee Assistance Program with counseling, a corporate discount savings program, and other discounts. Access to on-demand training, certification prep, and a library of technical and leadership resources after tenure, with certification discounts and other perks to professional associations.

• Equal opportunity employer: We do not discriminate or allow discrimination on a wide range of characteristics and will consider qualified applicants with criminal histories in a manner consistent with applicable law.

• Accommodation: If you require an accommodation under the Americans with Disabilities Act to participate in an interview or to use the website, please contact the appropriate department for accommodations.