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Hays

Data Analyst

VA, United States

Apply on hays.com About employer

Applications open in a new tab.

Job details

Apply by: Jan 29, 2027
Posting language: English
Posted: Oct 30, 2026

Original job description

The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate’s/applicant’s qualifications, skills, and level of experience as well as the geographical location of the position.

Applicants must be legally authorized to work in the United States. Sponsorship not available.

Our client is seeking Data Analyst in Vienna, VA/Hybrid.

ROLE DESCRIPTION

Partner with business stakeholders and other analysts to understand business data needs, capture data requirements, and perform data collection, processing and cleaning. Provide inputs for complex data science and business intelligence projects and perform analytical on large data sets to support departmental and organizational objectives. Work under minimal supervision and use complete understanding of business needs and objectives to support projects that have impact on the achievement of operational goals. Advanced skill set and proficiency with procedures and analysis techniques.

Work with technology organization and business end-users to understand data and analysis needs and develop technical requirements including data definitions, business rules, and data quality requirements; conduct data UAT, and data accuracy, validation, integrity research
Ensure compliance with deliverable reporting requirements by performing quality data audits and analysis
Identify and compile data sets using a variety of tools to help 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 to maintain data integrity and reliability
Develop and implement advanced data cleaning and validation processes, including outlier detection, imputation methods, and anomaly detection, to maintain data integrity and quality
Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects
Partner with data science teams to maintain statistical models for ongoing and ad hoc review and analysis of data
Build working relationships with team members and subject matter experts
Lead small projects and initiatives

SKILLS & REQUIREMENTS

4-7 years of experience in data analysis and reporting
Complete knowledge and understanding of business area/specialization
Skill in data manipulation and scripting languages such as SQL, Python, or R, as well as advanced data cleaning and preprocessing techniques and tools
Effective skill with AI tools and techniques, data cleaning, and other analytical techniques required for data usage
Advanced skill with statistical analysis such as measures of central tendency, normal distribution, variance, standard deviation, basic tests, correlation, and regression techniques
Advanced skill interpreting, extrapolating and interpolating data for statistical research and modeling
Knowledge of various data structures and ability to extract data sources (e.g., PySpark, PowerBI)
Strong understanding of data governance principles and practices
Bachelor's Degree in Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
1-5 years data analysis experience
Advanced SQL + Python/R
Data cleansing, profiling & validation
Data quality/integrity troubleshooting
Statistical analysis & regression/correlation
Outlier/anomaly detection & imputation
Data requirements gathering
Data UAT/testing
Data governance
Large/complex datasets
PySpark & Power BI
AI tools/techniques

Benefits/Other Compensation

Medical, Dental, Life Insurance, 401K.

Why Hays?

You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there’s a position you really want, you’re fully prepared to get it.

Nervous about an upcoming interview? Unsure how to write a new resume?

Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting.

Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays’ guiding principles is ‘do the right thing’. We also believe that actions speak louder than words. In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us.

In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text 813.336.5570.

Drug testing may be required; please contact a recruiter for more information.

#1187235 - Kellee Jacobsen

Apply on hays.com About employer

More about this job

Skills

Cleaning
Business intelligence
Research
Regulatory compliance
Reporting
Statistics
Data analysis
SQL
Python
R
PySpark
Microsoft Power BI
Troubleshooting
Requirements gathering

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Work requirements

Jobs in the United States