51 to 75 of 311 Statistical Analysis Jobs

a manager and/or offices. Schedule polygraph testing. Answer security related telephone calls, direct calls to the appropriate branch or office, and take messages. Research, record, and report statistical analysis for historical and planning purposes. Provide security support for passing, verifying, and receiving clearances, confirming Sensitive Compartmented Information (SCI) security eligibility, processing visitor requests, requests for badges … appointments for a manager or offices Schedule polygraph testing Answer security related telephone calls, directs calls to the appropriate branch or office, and take messages Research, records, and reports statistical analysis for historical and planning purposes Provide security support for passing, verifying, and receiving clearances, confirming Sensitive Compartmented Information (SCI) security eligibility, processing visitor requests, processing requests for More ❯

procedures for producing and inspecting precision and accuracy of products and production equipment. • Designs and analyzes inspection and testing processes, mechanisms, and equipment; conducts quality assurance tests; and performs statistical analysis to assess the cost of and determine the responsibility for, products or materials that do not meet required standards and specifications. • Audits quality systems for deficiency identification … product or process quality. • May be certified in lean and six-sigma quality engineering methodologies. Analyzes inspection and testing processes, mechanisms, and equipment; conducts quality assurance tests; and performs statistical analysis to assess the cost of and determine the responsibility for, products or materials that do not meet required standards and specifications. • Audits quality systems for deficiency identification More ❯

mission. This position requires employees to be located in the Huntsville, AL area in order to report to work on-site at Redstone. Responsibilities Provide highly complex data mining, statistical analysis, trend analysis, and causal analysis. Perform as a technical lead responsible for monitoring and providing monthly contract reports and deliverables. Responsible for integrating multiple disciplines in … analytic tools, procedures, and methodologies used. Take structured and unstructured data and distill the information into a cohesive analytical product for a contracting functional business area audience. Support pattern analysis methods to formulate recommendations to operational managers based upon exploiting patterns in the past, current, and anticipated operational environment. Education and Experience 4+ years in a technical field BA More ❯

/or lumped parameter models in vehicle crash safety & human injury research. This position requires knowledge of vehicle design, crash safety countermeasures, laboratory measurement techniques, vehicle sled modeling and analysis, and test/evaluation devices such as crash test dummies and human body models. Individuals will be required to provide significant technical leadership and contribute to the technical direction … keep up to date with current industry best practices Create sled FE models, position various crash test dummies and human FE models, carry out vehicle impacts and perform injury analysis Perform post simulation data analysis such as injury analysis per FMVSS/NCAP regulations and statistical techniques Provide recommendations to client regarding planning, analysis and … dummies, and/or post mortem human subjects Experience with running vehicle crash simulations using LS-DYNA (2+ years of experience) Demonstrated experience in performing post-crash simulation injury analysis such as HIC, BrIC, Nij, femur/tibia forces etc. Experience with Design of Experiments, optimization, and statistical analysis Knowledge of Federal Motor Vehicle Safety Standards (FMVSS More ❯

just support the mission - you'll define it. Join a team dedicated to protecting the safety and integrity of U.S. air travel. Peraton is seeking a Senior Modeling and Analysis Specialist to join our team of qualified, diverse individuals. The ideal candidate will use advanced data science, mathematics, and simulation techniques to solve complex problems related to aviation safety … bargaining unit negotiations. Collaborate with cross-functional teams and external partners to ensure data-driven decision-making across the FAA. Stay abreast of emerging technologies, big data tools, and statistical methodologies relevant to aviation operations.Why This Role Matters This role is central to NextGen initiatives that ensure U.S. aviation remains globally competitive and technologically advanced. Your work will guide … in Data Science, Engineering (Aerospace, Civil, Electrical, etc.), Mathematics, Operations Research, Physics, or Economics or Masters degree and 14 years or PHD and 12 years experience. Experience in data analysis, modeling, simulation, or operational research. Proficiency in programming languages (e.g., Python, R) and data visualization tools (e.g., Tableau, Power BI). Strong skills in statistical analysis and More ❯

Engineers analyze, design, develop and test GDMS systems to ensure the integration of software, hardware, reliability, maintainability, safety and other requirements in the total engineering effort. Responsibilities include requirements analysis, requirements definition, requirements management, functional analysis, performance analysis, system design, trade studies, systems integration and test (verification), validation and interface definition studies of system elements. Tasks may … include formulating operational concepts; performing mission, functional, cost-benefit and risk analysis; developing signal processing architecture and overall system architecture. Our systems typically include digital signal processing algorithms that are implemented in hardware and software for space-based systems. In addition to the general systems engineering qualification stated above, highly qualified candidates have work experience with digital signal processing … algorithm development for the statistical analysis of signal parameter measurements utilizing techniques from Detection & Estimation Theory, Random Processes Analysis, and Communications and Information Theory. Working knowledge of MATLAB for DSP using related toolboxes, background with Radar Processing, DSP for mitigating/processing RF effects, Monte Carlo analysis or Phased Array/Beam Forming is a plus. More ❯

be involved in full spectrum analytic technical support to mission operations and the intelligence lifecycle: requirements collection and refinement, translating user requirements into technical requirements, environment configuration, exploratory data analysis, model development, selection, and evaluation, identifying insights from analytic products and then communicating those results to a nontechnical audience. To that end, you will work with cross-functional teams … analytic products should clearly and succinctly distill trends, illuminate latent patterns, and spotlight insights in an easy-to-consume manner for customers to take action on. Responsibilities: Establish advanced analysis and data visualization methodologies, models, and tools to derive intelligence outcomes and impacts. Design and deliver infographics across a range of media platforms. Identify and process raw data, trends … analysis, and assessments in order to aggregate disparate information, leveraging both analytic and visualization tools. Leverage knowledge of databases and methodologies to determine appropriate sources, determine indicators and relationships, and generate intelligence support packages. Provide tailored communications to innovation stakeholders in meetings, demos, and other customer engagements, as well as support analytic innovation, development, and data analytics activities to More ❯

be involved in full spectrum analytic technical support to mission operations and the intelligence lifecycle: requirements collection and refinement, translating user requirements into technical requirements, environment configuration, exploratory data analysis, model development, selection, and evaluation, identifying insights from analytic products and then communicating those results to a nontechnical audience. To that end, you will work with cross-functional teams … practical experience. 4 - 6+ years of experience in computer science, data science, data analytics. Experience executing data science methods using python libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Data Visualization. Strong proficiency in programming languages such as Python. Agile development experience along with related technologies (e.g., Jira). Preferred Qualifications: Familiarity and … with the Intelligence Community (IC), and the intel cycle. Familiarity and experience with the Department of Homeland Security (DHS). Ability, openness, and eagerness to learn. Responsibilities: Establish advanced analysis and data visualization methodologies, models, and tools to derive intelligence outcomes and impacts. Design and deliver infographics across a range of media platforms. Identify and process raw data, trends More ❯

the People Data and Workforce Data Strategy ensuring high-quality people data and reporting that supports strategic people initiatives and workforce insights. Accountabilities Responsible for the delivery of data analysis and insights that support business goals. Ensure the accuracy and integrity of all People and Workforce data reporting and analytics. Collaborate with cross-functional teams to align data analysis with business needs. Develop and implement best practices for data analysis and visualisation. Drive the automation of data processes within People and Culture to improve efficiency. Manage resourcing, tools and capabilities required to ensure timely and accurate data reporting. Promote a data-driven culture across Arqiva and across all People related activity, advocating for the use of data … for People Data security review practices including routine user access reviews to ensure only the right people have access to the right data at the right time Skills Data Analysis - Ability to manipulate and analyse data, and make informed decisions Data Analysis & Visualisation Tools - Proficiency with data analysis and visualisation tools e.g. Python, R, SQL, Power BI More ❯

which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and … a clear and concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data … manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical More ❯

which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and … a clear and concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science:Proficient in programming languages like Python, R, and SQL including data … manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical More ❯

which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and … a clear and concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science:Proficient in programming languages like Python, R, and SQL including data … manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical More ❯

which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and … a clear and concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science:Proficient in programming languages like Python, R, and SQL including data … manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical More ❯

which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and … a clear and concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science:Proficient in programming languages like Python, R, and SQL including data … manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical More ❯

studies in human-machine interaction, human performance assessment, and equipment/facilities/environmental design. Develop and execute human factors experiments, usability testing, and behavioral data collection, ensuring robust analysis and actionable recommendations. Oversee data analysis and statistical modeling of human performance, reaction time, workload, and attention allocation. Lead the preparation of project deliverables, technical reports, and … management, including defining human factors requirements and generating qualification evidence. Support rapid prototyping, concept development, user testing, and iterative design improvements. Contribute to organizational performance initiatives, including human workload analysis, situational awareness, human reliability assessments, and cultural interventions. Serve as a subject-matter expert in human cognition, ergonomics, usability, and human-system integration, supporting FAA mission-critical systems. Qualifications …/MA. 7-10 years with a PhD. Deep knowledge of human cognition (visual perception, attention allocation, reaction time, serial/parallel processing). Demonstrated expertise in experimental design, statistical analysis, and usability testing methods. Proven experience with human factors integration, system lifecycle participation, and requirements definition. U.S. Citizenship with the ability to obtain and maintain a Public More ❯

developing recommendations for a creative solution. We need an experienced research analyst like you to help us solve complex problems for our clients. On our military operations and research analysis team, you'll lead the evaluation of data assessment strategies, such as statistical analysis, evaluation, and mission analysis, to deliver solutions. You won't go at … future force planning decisions for the Department of Defense. In this role, you'll use your passion for analytics and statistics to devise modeling and measuring techniques utilizing mathematics, statistical methods, engineering methods, operational mathematics techniques, and other principles and laws of scientific and economic disciplines. Use your operations research knowledge combined with your understanding of the Department of … Defense to advance the Department's future force planning decisions. Join us. The world can't wait. You Have: 5+ years of experience conducting operations research analysis Experience with the defense management of forces, units, equipment, or infrastructure data Experience contributing to analytic teams consisting of operations research, data science, and data visualization analysts Knowledge of the DoD's More ❯

Description Background Information : Innovative Defense Technologies (IDT), provider of cutting-edge cloud-based integration, automated testing and data analysis for complex, mission-critical systems in the US Department of Defense (DOD), is seeking a Data Scientist/AI Engineer to be based in our Arlington, VA or Mount Laurel, NJ office. Leveraging advanced software automation, model-based systems engineering … critical results. Overview: The Data Scientist position offers an engineer the opportunity to showcase their knowledge and talents as part of a collaborative team developing innovative AI and Data Analysis solutions for Innovative Defense Technologies. The responsibilities of this role include leading and supporting feasibility studies, building capabilities to discover explanatory features in high-dimensionality datasets, and developing and … problems Establish and leverage Big Data frameworks to store, extract and analyze relevant data Develop software solutions by understanding customer requirements and program intent Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions Be responsible for solutions that meet software design, quality, and performance requirements Work with minimal supervision in a collaborative work environment More ❯

of qualified and diverse individuals. The qualified applicant will join of our team on Fort Meade. As an SGA, you will be given the opportunity to showcase your SIGINT Analysis expertise while supporting missions that are vital to our national security. Position Description: Applies geographic information science in response to intelligence needs using SIGINT data, to include: the application … spatial thinking in interpreting SIGINT data in geographic context. Such interpretation requires skills, knowledge, and abilities drawn from multiple disciplines in order to undertake spatial data manipulation, spatial data analysis, spatial statistical analysis, and spatial modeling. Have a fundamental knowledge of geospatial SIGINT data, analytical methods, and visualization, in addition to technical knowledge of target technologies. Use … the maintenance of reference knowledge databases and dissemination of intelligence.Qualifications: Relevant experience must be in an area directly related to the customer's mission (e.g., collection, cyber and intelligence analysis), in a similar mission in the IC or DoD, in geospatial analysis and/or geospatial information systems. At least some experience conducting geospatial analysis is preferred. More ❯

Your analyses will be used across the company, giving you high visibility and the opportunity to influence decisions at the highest level. Senior Data Analyst - Essential Duties & Responsibilities: Data Analysis and Reporting: Design, build, and maintain datasets, dashboards, and reports to monitor key business metrics. Write complex SQL queries to retrieve, wrangle, and transform data from multiple internal and … external sources. Leverage tools such as Tableau, Power BI, and Python to visualize data and tell compelling data stories. Conduct in-depth exploratory and statistical analysis to support root cause discovery, performance trends, and process improvement. Business Insight and Collaboration: Partner with cross-functional teams to define reporting needs, clarify KPIs, and build meaningful data products. Translate business … questions into analytical problems and actionable insights. Develop subject matter expertise in a primary business domain while understanding adjacent areas for broader context. Project Management and Ownership: Independently manage analysis projects from discovery through delivery, including stakeholder alignment, prioritization, timeline management, and documentation. Balance multiple priorities across teams and adapt to changing business needs. Mentorship and Enablement: Support and More ❯

and leveraging data-driven insights to drive continuous improvement and successful solution delivery. The ideal candidate is a critical thinker, detail-oriented, and has strong technical acumen in data analysis, visualization, and business process design. Key Responsibilities Collaborate with stakeholders to gather and document business requirements, user stories, and technical specifications. Analyze complex data sets and deliver actionable insights … using statistical analysis, data mining, and predictive modeling. Facilitate process improvement initiatives and provide recommendations for optimizing business processes. Design, develop, and maintain reports, dashboards, and data visualizations using BI tools such as Power BI, Tableau, or similar tools. Conduct gap analysis, assess business needs, and drive end-to-end implementation of system solutions. Work with cross … data visualization tools. Knowledge of ETL processes and familiarity with data warehousing concepts. Strong understanding of SDLC (Software Development Life Cycle) and Agile methodologies. Certifications (Preferred): CBAP (Certified Business Analysis Professional) PMI-PBA (Professional in Business Analysis) Tableau or Power BI Certification Six Sigma Green Belt (for process improvement) Soft Skills: Excellent analytical and problem-solving skills. Strong More ❯

applications, your work will directly influence real-world outcomes. This position is 100% onsite at DIA HQ in SE Washington, DC. What You'll Do • Lead Data Exploration and Analysis: Direct data cleaning, transformation, and analysis for large-scale structured and unstructured datasets to uncover key insights. • Develop Advanced Models and Algorithms: Build and deploy predictive models, statistical … Strategy: Partner with mission stakeholders to identify analytic opportunities and align solutions with evolving operational needs. What You Bring • 10+ years of hands-on experience in data exploration, cleaning, analysis, visualization, or mining. • 5+ years working with both structured and unstructured data at scale. • Proficiency in Python, R, and SQL for statistical analysis and model development. • Proven More ❯

Analyst collects, cleans, analyzes, and interprets data to uncover trends, patterns, and insights that guide business decisions and improve operations. Key responsibilities include gathering data from various sources, performing statistical analysis, creating visualizations and reports using tools like SQL, Excel, and Tableau, and communicating findings to stakeholders to support strategic goals. The role requires a blend of technical … and secondary sources, ensuring its accuracy and integrity. • Data Cleaning & Preprocessing: Clean raw data by identifying and addressing inconsistencies, missing values, and errors to prepare it for analysis. • Data Analysis & Interpretation: Apply statistical techniques and analytical methods to explore datasets, discover trends, find patterns, and derive insights. • Data Visualization & Reporting: Develop reports, dashboards, and visualizations using tools like More ❯

Job Title: Senior Statistical Programmer (RWD) Locations: United Kingdom and Ireland Shift Schedule: 8:00 AM – 5:00 PM local time (based on candidate’s country) Duration: Up to 2 years Job Overview: We are seeking an experienced Senior Statistical Programmer with strong expertise in statistical programming and Real World Evidence (RWE) studies. The ideal candidate will … collaborate with biostatisticians, data managers, and clinical teams to provide high-quality programming support for the design, analysis, and reporting of interventional and observational studies within the pharmaceutical industry. Key Responsibilities: Develop, validate, and maintain SAS programs to generate datasets, tables, listings, and figures (TLFs) for clinical and observational studies. Support programming deliverables across Phase IV, Medical Affairs, RWE … and HEOR studies. Ensure adherence to CDISC standards (SDTM and ADaM) for data structure and analysis. Collaborate with biostatisticians to implement statistical analysis plans (SAPs) and provide programming input during study design. Perform quality control (QC) checks and ensure accuracy and consistency of deliverables. Manage and manipulate Real World Data (RWD) for use in RWE analyses. Apply advanced More ❯

TS/SCI Clearance with a Maryland Polygraph is required. No CCA's will be accepted at this time. 4+ years of combined experience applying operations research and decision analysis (DA) principles to support complex problem-solving within government and corporate environments. Able to apply quantitative and qualitative techniques—including cost-benefit analysis, sensitivity analysis, risk modeling … and decision trees—to assess operational tradeoffs, inform executive-level decision-making, and optimize outcomes. Ability to utilize structured analytic methodologies such as Multi-Criteria Decision Analysis (MCDA), Analytical Hierarchy Process (AHP), support strategic planning and resource allocation. Ability to prepare thorough and comprehensive statistical analysis reports. Experience in Microsoft Office products such as Excel, Word and More ❯

developing recommendations for a creative solution. We need a seasoned research analyst like you to help us solve complex problems for our clients. On our military operations and research analysis team, you'll lead the evaluation of data assessment strategies such as statistical analysis, evaluation, and mission analysis to deliver solutions. You won't go at … future force planning decisions for the Department of Defense. In this role, you'll share your passion for analytics and statistics to devise modeling and measuring techniques utilizing mathematics, statistical met hods, engineering met hods, operational mathematics techniques, and other principles and laws of scientific and economic disciplines. You will also leverage your defense expertise with your deep understanding … of Defense to advance the Department's future force planning decisions. Join us. The world can't wait. You Have: 10+ years of experience c ond ucting operations research analysis Experience with defense management of forces, units, equipment, or infrastructure data Experience leading analytic teams consisting of operations research, data science, and data visualization analysts Knowledge of the DoD More ❯