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Statistical Data Jobs (NOW HIRING)

Works collaboratively with Clinical Development staff to meet project deliverables and timelines for statistical data analysis and reporting. * Generates or oversees the production of programming ...

Works collaboratively with Clinical Development staff to meet project deliverables and timelines for statistical data analysis and reporting. * Generates or oversees the production of programming ...

OR · On-site

$153.94K - $199.21K/yr

Works collaboratively with Clinical Development staff to meet project deliverables and timelines for statistical data analysis and reporting. * Generates or oversees the production of programming ...

Statistical Programmer II

Newton, MA · On-site +1

$115.79K - $132.40K/yr

Bachelor's degree in Statistical Programming, Mathematics, Statistics, Data Analytics, Business ... Administration, or a related field plus 5 progressive years of statistical programming experience.

OR · On-site

$153.94K - $199.21K/yr

Works collaboratively with Clinical Development staff to meet project deliverables and timelines for statistical data analysis and reporting. * Generates or oversees the production of programming ...

Statistical Programmer II

Newton, MA · On-site

$115.79K - $132.40K/yr

Bachelor's degree in Statistical Programming, Mathematics, Statistics, Data Analytics, Business ... Administration, or a related field plus 5 progressive years of statistical programming experience.

Fundamental statistical, data analysis and visualization skills Strong communication skills Desirable Skills and Experience: * Ability to create SQL or MS Access queries and reports. * Experience ...

Discover new statistical ways to interpret data. * Deep understanding of statistical methods including but not limited to Bayes' theorem, Hidden Markov Model, etc. * Translate product ideas into ...

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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 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.

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.

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:
Senior Data Visualization Developer

Senior Data Visualization Developer

Essnova Solutions, Inc.

Huntsville, AL • Remote

Full-time

Posted 4 days ago


Job description

Essnova Solutions, Inc. is an award-winning SBA 8(a) and HUBZone-certified small business delivering advanced technology and professional services to federal, state, local, and commercial clients. Our expertise spans geospatial, healthcare, and environmental solutions, and we are committed to supporting agencies with high-impact, compliance-driven projects.
We are seeking a Senior Data Visualization Developer to serve as the technical lead for the National Center for Health Statistics (NCHS) visualization and solutions development. This role is pivotal in driving the end-to-end lifecycle of data visualization products, ensuring accuracy, accessibility, and compliance with federal standards. You will architect reusable visualization components, bridge communication between statisticians and developers, and uphold rigorous data validation and accessibility requirements.
Key responsibilities include:
  • Lead the technical execution of NCHS visualization and solutions development tasks, overseeing the full development lifecycle from requirements gathering to deployment and documentation.
  • Make strategic decisions on visualization tool selection (e.g., Tableau, Power BI, R/Shiny, Python/Dash, D3.js) and architect/build/maintain a reusable component library for NCHS.
  • Develop and maintain automated data validation scripts to ensure compliance with statistical accuracy and suppression logic.
  • Translate requirements between statisticians and developers by producing implementable specifications, including data models, query patterns, suppression logic rules, and annotated wireframes.
  • Conduct and oversee Section 508/WCAG accessibility testing using automated and manual screen reader tools in coordination with project management methodology.
  • Provide technical guidance on data architecture, technology risk assessment, and enterprise architecture artifacts, including process and data-flow diagrams.
  • Support Adobe Analytics administration and reporting as needed.
  • Collaborate closely with Data Engineers and PMs to ensure compliance with federal statistical agency standards and protected data requirements.

Requirements

Required Qualifications:
  • Bachelor’s degree in Computer Science, Data Science, Statistics, Information Systems, or a related field
  • 7+ years of data visualization development experience in federal agencies or compliance-driven environments
  • Advanced proficiency in at least three of the following: Tableau, Power BI, R (ggplot2/Shiny/R Markdown), Python (plotly/Dash/pandas/matplotlib), D3.js, with working proficiency in the remaining tools
  • Experience serving as technical lead for end-to-end data visualization development, including requirements, preprocessing, design, build, review, accessibility testing, deployment, and documentation
  • Experience presenting statistical data, including confidence intervals, weighted estimates, and suppression rules
  • Experience conducting Section 508 / WCAG 2.0 Level AA accessibility testing using automated tools (axe or WAVE) and manual screen reader testing (JAWS or NVDA)
  • Proficiency with Git for code reviews and embedded documentation, and SQL for analytics/visualization data needs
  • Experience translating requirements between statisticians and developers by producing implementable specifications (data models, query patterns, annotated wireframes)
  • Experience administering and reporting with Adobe Analytics or equivalent digital analytics platforms
  • Active Tier 4 / High Risk Public Trust (Level 6+) clearance at time of proposal submission and eligibility for HSPD-12/PIV credentialing
  • Currently located in the United States and able to overlap core working hours in Eastern Time
Preferred Qualifications:
  • Master’s degree in Computer Science, Data Science, Statistics, Information Systems, or a related field
  • Experience with NCHS, CDC, or federal statistical data environments
  • Experience applying machine learning techniques to analysis or visualization tasks
  • Familiarity with HHS EPLC or equivalent federal project lifecycle methodologies