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.
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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