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Statistical Data Jobs (NOW HIRING)

Advanced SAS programming skills in a clinical and statistical data environment * Demonstrated programming leadership capability with ability to develop teams and individuals and lead them towards a ...

Advanced SAS programming skills in a clinical and statistical data environment * Demonstrated programming leadership capability with ability to develop teams and individuals and lead them towards a ...

Quality Data Analyst

San Antonio, TX · On-site

$22.10 - $38.25/hr

... of various data sources in support of analytic-driven projects. Provides technical and ... Will focus on developing products that utilize and integrate various analytical and statistical ...

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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 are statistical data analysts?

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.
More about Statistical Data jobs
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What states have the most Statistical Data jobs? States with the most job openings for Statistical Data jobs include:
What job categories do people searching Statistical Data jobs look for? The top searched job categories for Statistical Data jobs are:
Data Scientist / Statistical Analyst

Data Scientist / Statistical Analyst

SiloSmashers

Clarksburg, WV

Full-time

Posted 22 days ago


Job description

Role Summary

Provides statistical modeling, data analysis, estimation procedures, and analytical review for national crime-reporting datasets. Supports data-quality evaluations, special-report analysis, dashboard development, and analysis of data transitions between reporting systems.

Key Duties

  • Perform statistical analysis, data modeling, trend detection, and estimation procedures.
  • Evaluate the transition from summary-based systems to incident-based systems.
  • Review public data releases and recommend improvements to statistical products.
  • Analyze the movement of data from source systems into public-access tools.
  • Develop dashboards and visualizations using Power BI.
  • Support methodologies for estimation when reporting thresholds are not met.
  • Analyze RMS-derived data for anomalies, patterns, and system-driven inconsistencies.
  • Present data findings to program leadership and stakeholders.

Required Qualifications

  • Top Scret
  • Bachelor's degree in Statistics, Data Science, Mathematics, or related discipline.
  • Strong Power BI skills (data modeling, DAX, visualizations).
  • Experience working with structured data, XML, and flat-file formats.

Preferred Qualifications

  • Experience with national crime-reporting datasets or criminal-justice statistical programs.
  • Familiarity with OMB data-quality guidelines.
  • Knowledge of law-enforcement Records Management Systems (RMS).