151 to 175 of 299 Statistical Analysis Jobs

Full-time permanent The job You will be gathering, analyzing, and synthesizing competitive intelligence to inform strategic business decisions and maintain our competitive advantage in the marketplace.Intelligence gathering and analysis Conduct comprehensive competitive landscape assessments and market research Monitor competitor activities, technology launches, go-to-market approach, pricing strategies, and market positioning Analyze competitor financial performance, organizational changes, partnerships … landscape Examine data to identify patterns, trends, and strategic implicationsStrategic insights and reporting Build comprehensive profiles for each major market player, refreshed annually Support Quarterly Competitive Benchmark including competitive analysis reports and executive briefings Support annual 5-year Strategic Planning with intelligence inputs Support ad-hoc data requests approximately 3 - 5 per monthCross-functional collaborationIntelligence program management Contribute to … role in driving AVEVA's growth by developing and guiding the overall direction and success of our organisation. The team's primary purpose is to develop strategies, conduct business analysis for executive decisions, and operationalise mechanisms that help AVEVA to achieve our long-term objectives.We are seeking a strategic and analytical Market and Competitive Intelligence Analyst to join our More ❯

college/university Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms programming (skill in at least one high-level language (e.g., Python , statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence … science, and application specific knowledge. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Employ some combination (2 or more) of the following areas: 1. Foundations (Mathematical, Computational, Statistical) 2. Data Processing (Data management and curation, data description and More ❯

seeking a Data Analyst to work on-site for a client located in Springfield or Lorton, VA. An active TS/SCI clearance is required. Responsibilities Deliver comprehensive data analysis, review, and investigative support to the client, ensuring effective detection of potential threats and anomalous behavior across the enterprise. Examine, analyze, and search insider threat data to identify patterns … Master's degree with 2+ years of prior relevant experience. Current TS/SCI and must be a U.S. citizen. Minimum of 4 years demonstrated knowledge of proficiency in statistical analysis, data mining, and predictive modeling. Minimum of 4 years demonstrated knowledge of the intelligence cycle, processes, and organizations. Minimum of 4 years demonstrated experience creating advanced correlation … network security, and data protection. Experience with user and entity behavior analytics (UEBA) tools or platforms. Strong SQL skills for querying databases and extracting relevant data. Ability to apply statistical methods to identify patterns, anomalies, or trends in data. Familiarity with machine learning for predictive modeling. Understanding of insider threat indicators, such as unauthorized access, data exfiltration, or policy More ❯

of audiences. Ability to perform frequent internal and external customer interface including regularly scheduled and ad hoc meetings. Strong background in requirements development and data analytics, including proficiency in statistical analysis, data visualization, and advanced analytic techniques in a DOD setting. Ability to extract meaningful insights from complex datasets and present them in a clear and concise manner. More ❯

Bachelor's degree may be substituted for a Master's degree. Demonstrated abilities in software engineering and AI/ML model test and evaluation. - Select appropriate data sets - Perform statistical analysis - Run machine learning algorithms - Use results to improve models - Train and retrain systems when needed - Experience in working with various ML libraries and packages - Run standard test More ❯

with the Head of Analytics to deliver actionable insights across the network of charging points Analyse customer behaviour, usage patterns, and operational data to inform strategy and growth Build statistical models for segmentation, regression, predictive modelling, and forecasting Support pricing and revenue optimisation initiatives, including dynamic pricing strategies Query and process large datasets coming from multiple real-time sources … Translate complex analysis into clear recommendations for non-technical stakeholders What You'll Need: Strong SQL and Python skills; experience in AWS environments is a plus Solid statistical analysis background (segmentation, regression, forecasting) Hands-on, adaptable, and comfortable in a smaller, fast-moving team environment Excellent communication skills and ability to take ownership of projects Experience delivering More ❯

ConMon Validators in compliance decisions by analyzing data sets found in the customer's vulnerability scanning, authorization and configuration management tools Import and transform data into usable sets for analysis tools used by the customer (e.g., Tableau, etc.) Provide analysis and graphical presentations of collected metrics for IA compliance status reporting Support legacy visualization and situational awareness tools … Experience with data visualization tools (e.g. Tableau, Infogram, Chartbloks) Experience with data transformation (structured data format/schema transformation) using common programming tools (e.g., Python, JSON, etc.) Experience applying statistical analysis to large data sets Desired: Experience briefing senior customer personnel Ability to organize and prioritize numerous customer requests in a fast pace deadline driven environment Familiarity with More ❯

will play key role and be the first point of contact for all commercial analytics requests the get into the team. This team leverages technical expertise in actuarial modelling, statistical analysis, and risk management solutions to support a high-impact team of 90+ underwriters. You will build and maintain data pipelines and data models to elevate the Analytics More ❯

active Secret clearance or above. Responsibilities Apply advanced analytical methods to support system development, operational testing, and evaluation, enabling data-driven decisions throughout the acquisition lifecycle Apply operations research, statistical analysis, modelling, and simulation techniques to support RDT&E efforts Support planning, execution, and analysis of experiments, simulations, wargaming, and operational test events. Support operational test planning … by identifying critical operational issues (COIs), and measures of effectiveness (MOEs) Provide analysis to support requirements determinations and associated documentation Review and analyze Operational Test reports, SITREPs, EXSUMs, and other information to identify issues and trends Research and respond to inquiries with data driven responses Assist in developing program office templates and standardized requirements documents Assist in reviewing, developing … and revising documentation Identify and support real-world problems with data analysis supporting system design and engineering Conduct data collection, organization, and analysis Qualifications Bachelor's degree in Operations Research, Applied Mathematics, Statistics, Engineering (Industrial or Systems) Minimum of four (4) years of experience in ORSA support at other agencies. Strong understanding of testing methodologies, tools, and processes More ❯

to interpret data, shape propositions, and influence senior stakeholders. Experience working cross-functionally and/or in international environments. Excellent communication and presentation skills. Desirable: Experience with Python for statistical analysis. Background in A/B testing design and evaluation. Familiarity with customer lifetime value modelling and loyalty analytics frameworks. WHY APPLY? Play a leading role in shaping the More ❯

R AI and ML Engineer, Lead The Opportunity: As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to More ❯

advanced data-driven solutions. The successful candidate will be experienced in building dynamic reports, dashboards, and visualizations from very large datasets, while applying machine learning techniques, data mining, and statistical modeling to solve complex problems and inform decision-making. Keys: Must have deep knowledge of code languages such as Python or R, and expertise in SQL for data extraction More ❯

Project/Team: FBI Behavioral Analysis Units (BAUs) - Research Analyst Location: Stafford, VA (on-site at FBI facilities) Employment Type: Full-Time Number of Vacancies: 1-5 positions Clearance Required: Active Secret with Lifestyle Polygraph (U.S. citizenship required) Background Navanti is seeking qualified Research Analysts to support the FBI's Critical Incident Response Group (CIRG) and Behavioral Analysis … related fields, who want to apply research skills in direct support of law enforcement and national security missions. Core Responsibilities Primary Duties: Assist with research design, methodology, and data analysis strategies Collect and manage research data from case materials, datasets, and systems Conduct literature reviews and prepare concise, operationally summaries Support data cleaning, statistical testing, and analyses (SPSS … and scholarly articles Provide monthly project status updates Secondary Duties: Collaborate with FBI staff and partner law enforcement agencies on collection Build and refine codebooks to support structured data analysis Present research findings to both technical and non-technical audiences Minimum Requirements: Master's in sociology, psychology, criminology, political science, or related field Minimum of 5 years of applied More ❯

manufacturing planning, providing supplier technical support and supporting Engineering Review Boards, Process Change Boards, Failure Review Boards customer technical interchange meetings. Develop test plans in coordination with Design and Analysis disciplines and characterize non-metallic materials; analyze material properties and develop design allowables per industry standards; summarize material properties and design allowable methodology in a written report. Perform engineering … analysis of non-conforming hardware including coordination of analysis for disposition of Material Review Board documents. Maintain interactions with customers on materials obsolescence. Conduct project progress reviews to ensure program control. Conduct failure analyses to determine root cause, document technical conclusions of failure investigations. Travel: 15% - to support work at suppliers and other enterprise locations. Ability to obtain … appropriate discipline is preferred. Master's degree in one of the above disciplines is preferred. Knowledge of chemical principles, thermodynamics, polymer chemistry, structure/property relationships, kinetics, and data analysis is essential. Experience with polymeric materials, statistical analysis, and instruments used to characterize properties of polymeric materials or their precursors. Knowledge of high temperature mechanical and thermal More ❯

Scientist Please note that the availability of this position is contingent upon award. Description: Supports defense analytical requirements by extracting intelligence insights from datasets through a variety of analytical, statistical, and mathematical tools and methods. Applies critical thinking skills and advanced methodologies to convey quantitative findings in forms that can be used to support analytic processes, products, and conclusions. … situations for which data is incomplete, controversial, or for which no precedent exists; validates analytical conclusions and presents/defends findings. Solve problems using Excel, SQL, R, Python or statistical analysis, and create visualizations to illustrate findings. Acquire, curate, integrate and maintain all-source analytic information through its full life cycle. Inform assessments by extracting analytic insights from … data. Evaluates datasets to ensure that they meet mission needs. Employs and updates available analysis/collection tools and systems, intelligence databases, and other mechanisms for sharing relevant intelligence information. Identify significant intelligence gaps, specifies collection requirements to fill gaps in information, evaluates resulting intelligence collected in response to requirements and determines analytical approach to incorporate collected data into More ❯

Job summary The Business Intelligence (BI) Analyst will play a key role in supporting the Federations strategic and operational objectives through high-level data analysis, interpretation, and presentation. The postholder will be responsible for extracting, processing, and presenting data across a range of services, enabling evidence-based decision-making, service improvement, and the development of successful bids for future … Management Extract, transform, and analyse data from clinical systems, commissioning datasets, and internal service databases. Ensure data integrity, accuracy, and compliance with information governance standards. Analytics & Insight Provide meaningful analysis to support service delivery, contract performance monitoring, and business planning. Identify trends, risks, and opportunities within population health, service utilisation, and workforce data. Translate complex datasets into clear, evidence … based insights to inform senior leadership and clinical decision-making. Contract & Bid Support Produce high-quality data analysis to support new service development, business cases, and tender submissions. Model population demand, activity forecasts, and financial implications for proposed services. Reporting & Visualisation Develop and maintain dashboards and reports in Excel (and other BI tools if applicable). Use advanced formulas More ❯

requirement, or upper-level math courses designated as elementary or basic do not count. Must have some combination (2 or more) of the following skill areas: Foundations: Mathematical, Computational, Statistical Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis More ❯

Travel: Continental US The Opportunity: CACI is seeking a cleared Operations Research Systems Analyst (ORSA) to support an Army Product Manager at Ft. Belvoir, Virginia. Conduct data collection and analysis on all test and experimentation events. Identify and solve real-world problems in areas including decision analysis supporting system design and engineering. Research and respond to inquiries, providing … analysis to support requirement determinations and associated documentation. Secret clearance is required. This ORSA role focuses on data collection, statistical analysis, and applying analytical techniques to support decision-making-rather than hardware testing. Responsibilities: Develop user surveys and survey capture plans. Develop Test Incident Reports (TIRs) formats and capture plans. Conduct data collection planning and execution for More ❯

Summary The Data Scientist supports mission operations by providing analytic technical support, translating requirements, developing models, creating visualizations, communicating insights, and collaborating with cross-functional teams. Key Responsibilities • Establish analysis and data visualization methodologies, models, and tools to derive intelligence outcomes. • Design and deliver infographics across media platforms. • Identify and process raw data, trends, and assessments to generate intelligence … Bachelor's degree or equivalent practical experience. • 4-6+ years of experience in computer science, data science, or data analytics. • Experience with Python libraries for data cleaning, EDA, statistical analysis, and visualization. • Proficiency in Python programming. • Agile development experience with tools like Jira. Preferred Qualifications • Familiarity with the Intelligence Community and the intel cycle. • Experience with the More ❯

Description Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/ More ❯

programming. Required Skills: Designing and implementing machine learning, data science, and advanced analytical algorithms. Programming and software engineering skills in at least one high level language (Python, Java, etc ) Statistical Analysis experience (variability, sampling error, inference, hypothesis testing) Data Management (data cleaning and transformation), data mining, data modeling, and assessment Artificial intelligence Effectively communicate complex technical information. Basic More ❯

engineers to ensure clean, accurate, and usable data. Monitor and update models to stay effective in a changing risk landscape. Requirements: Scripting skills in SQL and Python Experience with statistical analysis Experience with machine learning frameworks Knowledge of Large Language Models (LLMs) and other AI tools Experience within risk management would be highly desirable Benefits: Salary up to More ❯

Practical experience training, and deploying Machine Learning models (PyTorch preferred) Understanding of data structures, data modeling and software architecture. Understanding of machine learning techniques and algorithms, data mining, and statistical analysis. Experience with cloud platform (AWS, Azure and GCP), AWS preferred Proven experience with modern software development and engineering practices including scrum/agile, Git, and DevOps Practical programming More ❯

Practical experience training and deploying Machine Learning models. Ideal candidate would have experience with PyTorch, NumPy, TensorFlow, VS Code) Understanding of machine learning techniques and algorithms, data mining, and statistical analysis. Experience with cloud platform (AWS, Azure and GCP), AWS experience preferred Proven experience with modern software development and engineering practices including scrum/agile, Git, and DevSecOps specifically More ❯

data. Work with a range of data types, including structured and unstructured data, and will use a variety of tools and techniques to analyze and improve data quality. Utilize statistical analysis, data cleansing and transformation tools, and data governance frameworks for analysis and to ensure data integrity. Strong understanding of data integration principles and data governance frameworks. More ❯