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Statistical Data Jobs in Washington, DC (NOW HIRING)

Data Analyst

Washington, DC · On-site

$61 - $68/hr

Duties: • Analyzes information and statistical data to prepare reports and studies for use by professionals. • Creates charts and graphics to present statistical analysis in an easily digestible ...

Data Analyst

Washington, DC · On-site

$71 - $79/hr

Duties: • Analyzes information and statistical data to prepare reports and studies for use by professionals. • Creates charts and graphics to present statistical analysis in an easily digestible ...

Analyzes information and statistical data to prepare reports and studies for use by professionals. * Creates charts and graphics to present statistical analysis in an easily digestible format for a ...

Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field ...

Applied mathematics (e.g., probability and statistics, formal modeling, computational social ... Experience with statistical data analysis (e.g., linear models, multivariate analysis, stochastic ...

Applied mathematics (e.g., probability and statistics, formal modeling, computational social ... Experience with statistical data analysis (e.g., linear models, multivariate analysis, stochastic ...

Applied mathematics (e.g., probability and statistics, formal modeling, computational social ... Experience with statistical data analysis (e.g., linear models, multivariate analysis, stochastic ...

Mathematical, Computational, Statistical * Data Processing: Data management and curation, data description and visualization, workflow and reproducibility * Modeling, Inference, and Prediction: Data ...

Mathematical, Computational, Statistical * Data Processing: Data management and curation, data description and visualization, workflow and reproducibility * Modeling, Inference, and Prediction: Data ...

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Statistical Data information

What are the key skills and qualifications needed to thrive as a statistical data analyst, and why are they important?

To thrive as a Statistical Data Analyst, you need strong quantitative skills, expertise in statistics, and a relevant degree such as mathematics, statistics, or data science. Proficiency with tools like R, Python, SQL, and statistical software (e.g., SPSS, SAS) as well as data visualization platforms is typically required. Critical thinking, attention to detail, and effective communication skills help analysts interpret data accurately and share insights with stakeholders. These competencies ensure reliable data analysis, support evidence-based decisions, and drive organizational success.

What are some common challenges faced by professionals working in statistical data roles, and how can they be addressed?

Professionals in statistical data roles often encounter challenges such as managing large, complex datasets, ensuring data quality, and effectively communicating statistical findings to non-technical stakeholders. Dealing with incomplete or inconsistent data is common, and requires strong analytical and problem-solving skills to clean and validate information. Collaborating closely with cross-functional teams, staying updated on the latest statistical software, and developing clear data visualization skills can help address these challenges and enhance the impact of your work.

What is the difference between Statistical Data vs Data Analyst?

AspectStatistical DataData Analyst
Required CredentialsNone specific; often involves understanding data collectionBachelor's degree in statistics, data science, or related field
Work EnvironmentData collection, storage, and management environmentsAnalyzing data, creating reports, and visualizations
Industry UsageUsed across industries for data collection and storageApplied in business, finance, healthcare, and more for insights
Search & Comparison IntentUnderstanding raw data types and sourcesComparing roles focused on data analysis and interpretation

Statistical Data refers to raw or processed data used for analysis, while Data Analyst is a professional role that interprets and visualizes this data to support decision-making. Both are integral to data-driven industries but serve different functions within the data lifecycle.

What is a statistical data analyst?

Statistical data analysts are professionals who collect, process, and interpret quantitative data to help organizations make informed decisions. They use statistical techniques and software tools to analyze datasets, identify trends, and solve problems. Their work is crucial in fields such as business, healthcare, government, and research, where data-driven insights are essential. Statistical data analysts often present their findings in reports or visualizations to guide strategic planning.
What are popular job titles related to Statistical Data jobs in Washington, DC? For Statistical Data jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Statistical Data jobs in Washington, DC look for? The top searched job categories for Statistical Data jobs in Washington, DC are:

Statistician (Data Scientist)

SD Department of Veterans Affairs

Washington, DC • On-site

$106K/yr

Other

Posted 17 days ago


Job description

The Statistician provides statistical and analytical expertise to VHA leaders and field managers in support of the Office of Analytics Performance Integration (API), Clinical Assessment, Reporting and Tracking (CART). The incumbent works as a professional member of API/CART, under the Office of Quality and Patient Safety (QPS).Qualifications:

To qualify for this position, applicants must meet all requirements by the closing date of this announcement.

Basic Requirements:
United States Citizenship: Non-citizens may only be appointed when it is not possible to recruit qualified citizens in accordance with VA Policy.
Individual Occupational Requirements Basic Requirements:
A. Degree: that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
B. Combination of education and experience - courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance. May qualify based on being covered by the Grandfathering Provision as described in the VA Qualification Standard for this occupation (only applicable to current VHA employees who are in this occupation and meet the criteria).

Selective Placement Factor: A Selective Placement Factor* has been requested by the facility to help determine which of the basically qualified applicants are likely to be better qualified for this position. The selective placement factor for this position is:

  • Do you have experience improving complex management processes and data systems, including retrieving and displaying statistical data from a Corporate Data Warehouse; designing and developing national SQL databases; translating data into meaningful management information; and performing data analysis/estimation using R and/or Python.

You must provide evidence of your knowledge, skills, or abilities that meet the above Selective Placement Factor in your Resume in order to receive credit.*Selective Placement Factors represent knowledge, skills, or abilities that are essential for successful job performance and cannot reasonably be acquired on the job during the period of orientation/training customary for the position. Selective Placement Factors will be used for qualification purposes. Applicants with no evidence of the Selective Placement Factor present in their Resume will be disqualified from consideration.

AND
Specialized Experience:In addition to meeting the basic education requirement, you must also meet the specialized experience requirement. Specialized experience for the GS-13 grade level is defined as one year of experience at the GS-12 level, or equivalent that is directly related to the position and which has equipped the candidate with the knowledge, skills, and abilities to successfully perform the duties of the position. Examples of specialized experience include but are not limited to:

  • Mastering of a wide range of quantitative and qualitative methods for the assessment and improvement of program effectiveness or the improvement of complex management processes and data systems.
  • Applying methods of scientific inquiry and quantitative techniques, specifically statistical design and analysis, data modeling, network analysis and other operations research analytical techniques, statistical estimation and inference.
  • Planning and organizing work and negotiating effectively with management to accept and implement recommendations where the proposals involve substantial agency resources, require extensive changes in established procedures, or that may be in conflict with the desires of the activity studied.
  • Understanding the principles of corporate databases, including those related to performance, financial management, enrollment, planning and workload.
  • Communicating both orally and in writing to diverse audiences at all levels of VA, as well as oversight organizations and external stakeholders.

There is no educational substitution for the GS-13 level.

Education:IMPORTANT: A transcript must be submitted with your application if you are basing all or part of your qualifications on education. Transcripts must depict the name of the college to determine accreditation, and your name must also be displayed on the transcripts. If qualifying based on a degree, or for positions requiring a degree, the transcript must show the date the degree was conferred.
If selected, you must provide official transcripts.
Transcripts should state degree conferred, and have a date. Undergraduate transcripts are required to meet the basic requirement for this position; please submit all transcripts. Copies of Official Transcripts are accepted and are the best way to ensure your education is interpreted correctly in accordance with OPM qualification standards, but unofficial transcripts are accepted if they contain all the required information. If credit for a course is being questioned by the HR Professional performing qualifications, it is your responsibility to provide supporting descriptive information (course syllabus/descriptions) in your application package.
Note: Only education or degrees recognized by the U.S. Department of Education from accredited colleges, universities, schools, or institutions may be used to qualify for Federal employment. You can verify your education here: http://ope.ed.gov/accreditation/. If you are using foreign education to meet qualification requirements, you must send a Certificate of Foreign Equivalency with your transcript in order to receive credit for that education. For further information, visit: https://sites.ed.gov/international/recognition-of-foreign-qualifications/.Employment Type: OTHER