76 to 100 of 311 Statistical Analysis Jobs

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 ❯

Capability to provide staff needed to meet unforeseen, urgent assignments Experience in computer software applications (Windows 2010, Excel, PowerPoint, ACCESS, SharePoint), and other Government/Federal systems Advanced data analysis and reporting skills Ability to translate complex data into actionable insights Experience working with cross-functional teams Excellent verbal and written communication skills Ability to work independently with minimal … or related field with at least 3 years of relevant experience (Educational qualifications may be used in lieu of experience) Work Experience, Knowledge, Skills & Abilities: Demonstrated experience in process analysis and evaluation Proven knowledge of Head Start and Early Head Start programs or early childhood education Desired Skills and Competencies: PMP or similar project management certification Knowledge of federal … government processes and procedures Change management experience Strategic planning experience Experience with data analysis and visualization tools (Tableau, Power BI, etc.) Experience with CRM systems Advanced degree in a relevant field Experience with federal grant management and compliance Background in customer service operations and improvement Knowledge of quality management systems and methodologies Experience with performance metrics development and tracking More ❯

while designing and implementing semantic models and knowledge graphs that support smarter decision-making across Army operational domains. They must have strong experience in data mining, model building, and statistical analysis, combined with technical proficiency in semantic technologies. The right candidate will have a passion for structuring complex data into actionable insights and collaborating with stakeholders to improve … functional and joint teams to implement models and monitor outcomes. KNOWLEDGE/SKILLS/ABILITIES Strong problem-solving skills with an emphasis on mission-focused data science. Proficiency in statistical computer languages (Python, R, SQL) for data manipulation and analysis. Experience working with and creating data architectures, including semantic/ontology-driven frameworks. Knowledge of machine learning techniques (clustering … Matplotlib, Seaborn, ggplot). Excellent written and verbal communication for coordination across Army, joint, and interagency teams. QUALIFICATIONS: Minimum Qualifications include: 5-7 years of experience manipulating datasets, building statistical models, and applying advanced analytics. Master's or PhD in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field. Experience designing and implementing semantic models and knowledge More ❯

and optimize SQL queries for data extraction, manipulation, and analysis. Collaborate with cross-functional teams (business, product, operations, and technology) to define data needs and deliver actionable insights. Apply statistical techniques and data modeling to evaluate business performance and forecast future outcomes. Ensure accuracy, integrity, and security of datasets by implementing proper data governance practices. Present clear, concise, and … field. Proven experience as a Data Analyst or in a similar role. Strong proficiency in SQL, Excel, and data visualization tools (Tableau, Power BI, or similar). Familiarity with statistical analysis and data modeling techniques. Experience with Python or R for data manipulation and analysis (preferred). Excellent problem-solving skills with attention to detail. Strong communication … skills to explain complex data in simple terms. Preferred Qualifications Experience working with large datasets and relational databases. Knowledge of data warehousing concepts and ETL processes. Background in business analysis or domain-specific data analytics. What We Offer Pre job Industrial Training to prepare you for the job. Certification, resume preparation will be done. Employer's Confirmation Letter/ More ❯

including IS&T, school-based career liaisons and departments, Institutional Research and Decision Support (IRADS), and University Advancement (UA). Responsibilities: Data Analytics and Reporting Utilize Excel and other statistical software (e.g., Python) to compile, clean, analyze, and verify large data sets: First-Destination Survey (FDS), employer surveys, and KPIs, including student and employer engagement/satisfaction data, event … with time-sensitive deadlines that may fluctuate. Strong technical acumen with demonstrated fluency in standard business software, such as the Microsoft Office suite, databases, reporting applications, data cleaning and analysis, Power BI/Tableau/data visualization tools, Qualtrics, and project management tools. Demonstrated ability to handle confidential information and display sound judgment and ethics. Excellent written and oral … communication skills, and ability to communicate to diverse constituent groups. Desired Qualifications: 1-2 years' experience as a systems administrator and/or independently assisting functional users with data analysis and reporting needs. Experience with designing and administering surveys, conducting post-collection statistical analysis and data storytelling. Basic skills in SPSS, R, Python, or other comparable statistical More ❯

responsibility will be to harness the power of data to extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using machine learning and statistical techniques. We work in a hybrid way at Saga both at home and in the office. When you do come into the office, itll be with a real purpose … Income protection Access to Saga Academy, our bespoke learning platform Main Responsibilities As one of our Senior Data Analysts you will be fully accountable for the following areas; Data Analysis and Interpretation: Develop and Oversee the analysis of large datasets to identify trends, patterns, and actionable insights relevant to business objectives Reporting and visualisation: Develop and deliver clear … and integrate insights into existing workflows & applications. Communicating effectively with both technical and non-technical counterparts Data Quality and Governance: Ensure the quality and integrity of data used for analysis, implementing and maintaining data governance best practices. Collaborate with IT and data teams to resolve data quality issues Agile ways of working: Demonstrate experience in working in an agile More ❯

Statistics, Mathematics, Computer Science, etc.). • Proficiency in data visualization tools such as Tableau, PowerBI, etc., including, but not limited to: data connection, data manipulation, data visualization • Knowledge of statistical analysis methodologies and data visualization tools. • Excellent problem-solving skills and attention to detail. • Excellent communication and collaboration skills • Experience with scripting in Tableau (e.g., automation; troubleshooting; integration More ❯

data search processes and utilizing big data technologies Knowledge of data science models to analyze large amounts of data and create valuable insights Ability to lead or design ML, statistical analysis, and data analysis tasks Top Secret clearance HS diploma or GED Nice If You Have: Bachelor's degree preferred; Master's degree a plus Program Management More ❯

Our solutions and expertise empower our clients to achieve their AI goals and make a significant impact in their industry. The data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or … training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows. Responsibilities: Produce data visualizations that provide insight into dataset structure and meaning Collaborate with subject … information from a variety of data formats (e.g., SQL tables, structured metadata, network logs) Incorporate SME input into feature vectors suitable for analytic development and testing Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics More ❯

be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community … Customer Stakeholders, Program Managers, and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers Research and … implement optimization models, strategies, and methods to inform data management activities and analysis Apply big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments Conduct peer reviews to improve quality of workflows, procedures, and methodologies Help build high-performing teams; mentor team members providing development opportunities to increase their technical skills and knowledge More ❯

build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve … analytics, preferably in a subscription-based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills … to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects The i Paper - POLARIS Dashboard build and automation, including the setting of the KPI's - which we settled on using the More ❯

build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve … analytics, preferably in a subscription-based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills … to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects The i Paper - POLARIS Dashboard build and automation, including the setting of the KPI's - which we settled on using the More ❯

build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve … analytics, preferably in a subscription-based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills … to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects The i Paper - POLARIS Dashboard build and automation, including the setting of the KPI's - which we settled on using the More ❯

build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve … analytics, preferably in a subscription-based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills … to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects The i Paper - POLARIS Dashboard build and automation, including the setting of the KPI's - which we settled on using the More ❯

build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve … analytics, preferably in a subscription-based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills … to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects The i Paper - POLARIS Dashboard build and automation, including the setting of the KPI's - which we settled on using the More ❯

national security investigators and analysts to understand their data science needs, suggest solutions, and complete the work in a timely manner. Lead and/or design machine learning (ML), statistical analysis, and data analysis tasks. Leverage existing and/or conduct custom Extract Transform Load (ETL) work to aggregate data from multiple repositories and condition the data … search, and retention. Design new software code to improve data search processes, and design, test, and validate the quality of data and data processes. Automate routine workflows and data analysis steps to assist with workflow automation. Report results of analyses and provide actionable recommendations. What You Need to Succeed (Minimum Requirements): TS/SCI Clearance Eight (8) years of More ❯

national security investigators and analysts to understand their data science needs, suggest solutions, and complete the work in a timely manner. Lead and/or design machine learning (ML), statistical analysis, and data analysis tasks. Leverage existing and/or conduct custom Extract Transform Load (ETL) work to aggregate data from multiple repositories and condition the data … search, and retention. Design new software code to improve data search processes, and design, test, and validate the quality of data and data processes. Automate routine workflows and data analysis steps to assist with workflow automation. Report results of analyses and provide actionable recommendations. What You Need to Succeed (Minimum Requirements): TS/SCI Clearance Eight (8) years of More ❯

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 More ❯

domains. Your primary responsibility will be to harness the power of data to extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using statistical techniques. At Saga, we see data as a strategic asset and is one of the core pillars of our corporate strategy. Given the size and quality of our database … closely with Marketing teams to understand their challenges and design targeted analytical solutions that address key pain points. Ensure solutions are practical, impactful, and consistently achieve high adoption. Data Analysis and Interpretation: Develop and Oversee the analysis of large datasets to identify trends, patterns, and actionable insights relevant to business objectives. Reporting and visualisation: Develop and deliver clear … and integrate insights into existing workflows & applications. Communicating effectively with both technical and non-technical counterparts. Data Quality and Governance: Ensure the quality and integrity of data used for analysis, implementing and maintaining data governance best practices. Collaborate with IT and data teams to resolve data quality issues. Agile ways of working: Demonstrate experience in working in an agile More ❯

domains. Your primary responsibility will be to harness the power of data to extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using statistical techniques. At Saga, we see data as a strategic asset and is one of the core pillars of our corporate strategy. Given the size and quality of our database … closely with Marketing teams to understand their challenges and design targeted analytical solutions that address key pain points. Ensure solutions are practical, impactful, and consistently achieve high adoption. Data Analysis and Interpretation: Develop and Oversee the analysis of large datasets to identify trends, patterns, and actionable insights relevant to business objectives. Reporting and visualisation: Develop and deliver clear … and integrate insights into existing workflows & applications. Communicating effectively with both technical and non-technical counterparts. Data Quality and Governance: Ensure the quality and integrity of data used for analysis, implementing and maintaining data governance best practices. Collaborate with IT and data teams to resolve data quality issues. Agile ways of working: Demonstrate experience in working in an agile More ❯

SkillBridge Program prior to start of internship Duration: 90-180 days Requirements: Active TS/SCI clearance/polygraph required Minimum of six (6) years of experience performing data-analysis on collected information to pinpoint unique insight and intelligence opportunities within the data Experience within at least two (2) of the following skill areas: Mathematics/Statistics Computer Science … Scripting Cloud Computing Data Mining, Metadata Analysis or Machine Learning Artificial Intelligence Data Visualization or Data Automation. Data science Advanced analytical algorithms Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models) Data management (e.g., data cleaning and transformation) Data modeling and assessment Artificial intelligence Software engineering Experience constructing and performing complex database More ❯

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 More ❯

and maintain diagrams for simulation hardware Develop engineering calculation programs to support simulations Find solutions in device literature if it is not already in company documentation Provide and support analysis of early digital product prototypes, working with analysis tool developers, integrators, test team members, and other analysts Analyze the functional area and advise as to the best method … structured simulation training events and exercises and simulated rehearsals of operational plans and orders Develop analytical methods and simulations to facilitate analyses; execute trade studies; perform data analytics and statistical analysis; provide input and recommendations on analysis performed; and develop effective presentations that communicate results and findings Support architecture development and integration activities for weapon systems which … may include items such as requirement creation and breakdown, analysis and traceability of requirements to key performance parameters, and support for requirement analysis Establish requirements for evaluation tools and processes, provide analytical support to the test planning process, and coordinate analytical results Generate and present test analysis planning documentation, test readiness briefs, quick-look reports and briefs More ❯

all insider threat issues, with a mission to detect, deter, and mitigate risks originating from within the organization. This position provides critical analytical support to InTO by conducting research, analysis, and reporting that directly contribute to safeguarding FBI personnel, systems, and information from insider risks. JOB RESPONSIBILITIES: Research, fuse, and analyze large, disparate datasets to identify insider-threat trends … visuals in Power BI/Tableau and Excel (macros/VBA). Conduct insider-threat monitoring across UAM/DLP/UBA/SIEM; triage alerts and perform log analysis in Splunk and Microsoft Sentinel; develop repeatable detections leveraging KQL/SPL and automation in Python/Excel VBA. Build and tune data pipelines, queries, and automations aligned to … find correlations, discrepancies, and gaps; generate and triage leads/alerts using Splunk dashboards, Sentinel workbooks, and Power BI. Develop and prototype analytics (queries, programs, algorithms) for large-scale analysis using SQL/Python and Azure; perform statistical analysis/data exploration and optimize datasets for strategic program support. Produce clear, concise analytic products, reports, briefs, charts More ❯

Familiarity with data visualization tools such as Tableau, Power BI, or similar. Machine Learning and Analytical Skills including: MLOps - Working knowledge of ML deployment and operations Data Science Methodologies - Statistical analysis, modeling, and interpretation Big Data Technologies - Experience beyond Spark with distributed systems Experience with deployment pipelines, including Git-based version control and CI/CD pipelines and … DevOps practices using Terraform for IaC. Emergency management domain knowledge a plus Advanced proficiency in data engineering and analytics using Python, Expert-level SQL skills for data manipulation and analysis and experience with Scala, preferred but not required (Python expertise can substitute) Proven experience breaking down complex ideas into manageable components Demonstrable experience developing rapid POCs and Prototypes History More ❯