1 to 25 of 58 Remote Statistical Analysis Jobs

the Statistics team within the Quantitative Research Unit of the Data Analytics, Research, and Statistics (DARS) office. The selected individual will perform a variety of medium- to high-level statistical analysis of large datasets to produce in-depth statistical reports and data visualizations to generate high-level statistical insights for executive decision-making. This position will … reports. This position will benefit from an experienced quantitative researcher seeking to conduct applied research, project management and project implementation. The selected candidate will also assist in modernizing monthly statistical reporting, analyzing statistical trends, and creating and developing interactive dashboards. The individual will use advanced processes in Microsoft Excel, Power BI, and/or statistical analysis … to installing a multifactor authentication app on your phone or tablet, you will be required to have high speed home internet access. Example of Duties Creates and analyzes monthly statistical reports, creates and updates Power BI dashboards, and develops and produces new or ad hoc reports, as assigned. Prepares monthly statistical reports, annual statistical reports, and medium More ❯

responsible for designing and developing comprehensive methods and processes to consolidate and analyze structured and unstructured data from diverse sources, including big data environments. This role combines traditional data analysis with advanced analytics capabilities to drive organizational decision-making and business performance. Job Responsibilities: Data Architecture & Processing: Design and develop methods, processes, and systems to consolidate and analyze structured … customized report building functions. Design, develop, and modify data infrastructure to support analytical requirements. Advanced Analytics & Machine Learning: Apply disciplines such as Natural Language Processing, Machine Learning, Predictive modeling, Statistical Analysis and Hypothesis testing. Develop and implement statistical models and algorithms for predictive analytics. Conduct both quantitative and qualitative analysis to ensure accurate forecasting and classification. … Create and optimize automated processes for data analysis and model deployment. Cross-Functional Collaboration: Work with cross-discipline teams to ensure connectivity between various databases and systems. Collaborate with stakeholders to identify data visualization requirements and business needs. Act as a liaison between technical teams and business stakeholders. Support strategic decision-making through detailed analysis and recommendations. Insights More ❯

in support of our government Sponsor. This position requires all duties to be performed full-time/onsite in the Bethesda, MD area. Job Duties: Apply systems engineering, technical analysis, along with operations and research principles, theories, and methods in the development of major issues studies and strategic evaluation reports of issues of National Intelligence Importance. Perform conduction planning … collection, and analysis of data, as well as with reviewing sizable amounts of data to develop methodologies and provide final results and recommendations on issues of National Intelligence importance. Gather study proposals from Intelligence Community (IC) stakeholders, evaluate for suitability, frame and revise for clarity, estimate study staffing and timeline requirements. Develop study design plan that includes objectives, key … questions, stakeholder list, data gathering and analysis plan, and extensive issue framing. Collect study-relevant data and information using mixed methods of qualitative and quantitative sources which include literature reviews, survey design and administration, database queries and custom data calls of enterprise mission and budget data. Clean/normalize quantitative and qualitative data for later analysis as necessary. More ❯

Collection and Management: Collect and manage large datasets from various sources, including physiological, cognitive, and operational performance metrics. Ensure data integrity, accuracy, and consistency across all data sources. Data Analysis and Interpretation: Analyze complex datasets to identify trends, patterns, and correlations that impact pilot performance. Utilize statistical methods and data analysis tools to provide insights and recommendations. … needs. Ability to prioritize and execute tasks in a high functioning environment. Strong critical thinking skills and attention to detail. Provide support and training to team members on data analysis tools and best practices. Predictive Modeling and Machine Learning: Develop predictive models and machine learning algorithms to forecast performance outcomes and identify potential areas for improvement. Apply advanced analytics … techniques to enhance decision-making processes. Documentation and Compliance: Maintain comprehensive documentation of data analysis processes, methodologies, and findings. Ensure compliance with data protection regulations and organizational policies. QUALIFICATIONS - EXPERIENCE, EDUCATION AND CERTIFICATION To perform this job successfully, an individual must be able to satisfactorily perform each essential duty. The requirements listed below are representative of the knowledge, skill More ❯

address business problems by understanding the characteristics of data sets, identifying patterns, and training end users on completed solutions to drive adoption. Analyze large and complex data sets using statistical methods and data visualization tools to support storytelling. Continuously monitor and evaluate data sources and analysis methods to ensure accuracy and reliability. Develop and maintain an understanding of … well as external sources, as needed to support analytic efforts. Work with stakeholders across functional departments to answer data-related questions and assist with ad hoc reporting and data analysis projects. Support the creation and maintenance of high-quality data at all phases of the lifecycle by contributing to decisions impacting data creation, transformation, storage, and governance. Stay up … Bachelor's or Master's degree in a relevant field (e.g. data science, statistics, communication, marketing) or equivalent experience. Experience: Required: Minimum of 7 years of experience in data analysis, visualization, and storytelling. Proven ability to explain complex concepts to non-technical audiences. Desired: Experience working in consulting, legal, or other professional environments that require continuous learning and regular 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

implemented and maintained effectively within CarTrawler's revenue management platform, with processes and alerting in place to maintain accuracy and scalability. Analytics & Insight Provide actionable insight through rigorous performance analysis, forecasting, and experimentation to refine pricing and content strategies. Implement A/B testing and controlled experiments to validate initiatives and quantify impact. Deliver transparent reporting and clear recommendations … to P&L owners and executive stakeholders, ensuring alignment with commercial goals. Conduct market research and competitive analysis to refine pricing strategies and content management decisions. Capability Development Drive the evolution of CarTrawler's revenue management tools and practices in collaboration with Data Science and MLOps. Support the design and operationalisation of advanced models that improve forecasting accuracy, dynamic … career development and succession planning. Analytical Leadership & Adoption: Strong quantitative and problem-solving skills with the ability to work with large, complex data sets, interpret financial metrics, and apply statistical analysis and modelling. Proven track record of driving cultural adoption of advanced analytics and experimentation to embed data-driven decision-making across the business. Technical proficiency: Expertise in More ❯

solutions, with the ability to design and implement cutting-edge analytics capabilities. Responsibilities Design and implement data science frameworks across multi-cloud environments Develop machine learning models for data analysis and automation, including building RAG models for AWS Bedrock Automate analytic solutions and build scalable analytics capabilities Collaborate with the Mission team to gather requirements across various teams Assess … related field, plus additional 3+ years' experience in a complimentary function Strong programming skills in Python, SCALA, and/or UNIX shell scripting Expertise in machine learning techniques and statistical analysis Proficiency in SQL and NoSQL databases Experience with big data platforms such as Hadoop, Spark, and Kafka Cloud computing expertise across AWS, Azure, and other Experience in More ❯

of autonomy and minimal supervision. Proactively identify, initiate, and manage tasks and projects. Utilize SQL for querying databases to retrieve and manipulate data. Employ Excel skills for data cleaning, analysis, creating formulas, and generating visualizations, including pivot tables. Use data visualization tools like Power BI (desirable but not essential) and programming languages like Python or R for data manipulation … statistical analysis, and visualization. Communicate findings and insights effectively to both technical and non-technical team members. Required Skills & Qualifications: Technical Skills: Strong SQL skills for database management. Proficiency in Excel including pivot tables. Familiarity with data visualization tools like Power BI. Knowledge of programming languages such as Python or R is highly beneficial. Analytical & Cognitive Skills: Critical … to evaluate data, identify patterns, and think logically. Problem-solving: Skill in addressing complex data issues and proposing actionable solutions. Attention to detail: Crucial for ensuring accuracy in data analysis and reporting. Soft Skills: Excellent communication skills to convey findings clearly. Effective teamwork capabilities, suitable for remote collaboration. Independence in managing tasks and workload. Qualifications & Experience: A degree in More ❯

build expertise in business intelligence, data management, and emerging AI technologies. The successful candidate will support data-driven decision making across the organization while developing technical skills in data analysis and visualization. Key Responsibilities: Data Management & Quality Perform data cleansing, validation, and quality assurance processes Identify and resolve data inconsistencies and anomalies Document data sources, transformations, and cleansing procedures … standpoint, candidates must demonstrate strong proficiency in Excel and data manipulation techniques, along with basic knowledge of SQL for data querying and retrieval. A solid understanding of fundamental data analysis concepts and methodologies is essential, as is familiarity with database management principles and basic statistical analysis techniques. Beyond technical capabilities, we seek individuals with exceptional analytical and More ❯

build expertise in business intelligence, data management, and emerging AI technologies. The successful candidate will support data-driven decision making across the organization while developing technical skills in data analysis and visualization. Key Responsibilities: Data Management & Quality Perform data cleansing, validation, and quality assurance processes Identify and resolve data inconsistencies and anomalies Document data sources, transformations, and cleansing procedures … standpoint, candidates must demonstrate strong proficiency in Excel and data manipulation techniques, along with basic knowledge of SQL for data querying and retrieval. A solid understanding of fundamental data analysis concepts and methodologies is essential, as is familiarity with database management principles and basic statistical analysis techniques. Beyond technical capabilities, we seek individuals with exceptional analytical and More ❯

build expertise in business intelligence, data management, and emerging AI technologies. The successful candidate will support data-driven decision making across the organization while developing technical skills in data analysis and visualization. Key Responsibilities: Data Management & Quality Perform data cleansing, validation, and quality assurance processes Identify and resolve data inconsistencies and anomalies Document data sources, transformations, and cleansing procedures … standpoint, candidates must demonstrate strong proficiency in Excel and data manipulation techniques, along with basic knowledge of SQL for data querying and retrieval. A solid understanding of fundamental data analysis concepts and methodologies is essential, as is familiarity with database management principles and basic statistical analysis techniques. Beyond technical capabilities, we seek individuals with exceptional analytical and More ❯

build expertise in business intelligence, data management, and emerging AI technologies. The successful candidate will support data-driven decision making across the organization while developing technical skills in data analysis and visualization. Key Responsibilities: Data Management & Quality Perform data cleansing, validation, and quality assurance processes Identify and resolve data inconsistencies and anomalies Document data sources, transformations, and cleansing procedures … standpoint, candidates must demonstrate strong proficiency in Excel and data manipulation techniques, along with basic knowledge of SQL for data querying and retrieval. A solid understanding of fundamental data analysis concepts and methodologies is essential, as is familiarity with database management principles and basic statistical analysis techniques. Beyond technical capabilities, we seek individuals with exceptional analytical and More ❯

build expertise in business intelligence, data management, and emerging AI technologies. The successful candidate will support data-driven decision making across the organization while developing technical skills in data analysis and visualization. Key Responsibilities: Data Management & Quality Perform data cleansing, validation, and quality assurance processes Identify and resolve data inconsistencies and anomalies Document data sources, transformations, and cleansing procedures … standpoint, candidates must demonstrate strong proficiency in Excel and data manipulation techniques, along with basic knowledge of SQL for data querying and retrieval. A solid understanding of fundamental data analysis concepts and methodologies is essential, as is familiarity with database management principles and basic statistical analysis techniques. Beyond technical capabilities, we seek individuals with exceptional analytical and More ❯

Parties/Customer) to improve performance, budget efficiency, and ROI. Track key customer KPIs and support acquisition and retention strategies through A/B testing and data insights. Conduct statistical analysis to identify trends, patterns, and outliers that inform strategic decisions. Present complex data in clear, actionable formats for various stakeholders. Build and maintain dashboards and reports using … technical insights to non-technical audiences effectively (Essential) Detail-oriented and process-driven with a focus on continuous improvement (Essential) Comfortable working in a fast-paced, evolving environment (Essential) Statistical Methods Knowledge (Desirable) Experience using Salesforce and data visualisation tools (Desirable) Job Offer Competitive salary range of £35,000 to £45,000 per annum. Comprehensive pension scheme to support More ❯

Parties/Customer) to improve performance, budget efficiency, and ROI. Track key customer KPIs and support acquisition and retention strategies through A/B testing and data insights. Conduct statistical analysis to identify trends, patterns, and outliers that inform strategic decisions. Present complex data in clear, actionable formats for various stakeholders. Build and maintain dashboards and reports using … technical insights to non-technical audiences effectively (Essential) Detail-oriented and process-driven with a focus on continuous improvement (Essential) Comfortable working in a fast-paced, evolving environment (Essential) Statistical Methods Knowledge (Desirable) Experience using Salesforce and data visualisation tools (Desirable) Job Offer Competitive salary range of £35,000 to £45,000 per annum. Comprehensive pension scheme to support More ❯

Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where data science can create value. Conduct statistical analysis and data mining to extract insights from large, diverse datasets. Translate complex data findings into clear and actionable recommendations for both technical and non-technical audiences. Ensure More ❯

of a Senior Performance Analyst and work within a multi-disciplinary team. Key Responsibilities: Lead the development of performance measurement frameworks and meaningful KPIs. Apply quantitative and qualitative data analysis to drive service improvement. Work closely with stakeholders, user researchers, and service teams to deliver actionable insights. Communicate analysis clearly using appropriate formats and tailored messaging for varied … cleansing of data. Use Power BI, Google Analytics, Looker Studio, and Azure Data Services to build dashboards and performance reports. Leverage BigQuery and Google Tag Manager for advanced data analysis, tracking, and reporting. Ensure compliance with digital service standards and accessibility principles. Essential Skills and Experience: Demonstrated 5+ years of experience working within performance analysis or similar roles. … Strong technical capability in: Microsoft Power BI Microsoft Azure Data Services Google Analytics, Google Tag Manager, BigQuery, Looker Studio Statistical analysis, hypothesis testing, and significance evaluation Experience in designing and implementing performance frameworks and KPIs. Skilled in user-centred analysis, translating user research and behaviour into strategic insight. Excellent communication skills with the ability to present complex More ❯

of a Senior Performance Analyst and work within a multi-disciplinary team. Key Responsibilities: Lead the development of performance measurement frameworks and meaningful KPIs. Apply quantitative and qualitative data analysis to drive service improvement. Work closely with stakeholders, user researchers, and service teams to deliver actionable insights. Communicate analysis clearly using appropriate formats and tailored messaging for varied … cleansing of data. Use Power BI, Google Analytics, Looker Studio, and Azure Data Services to build dashboards and performance reports. Leverage BigQuery and Google Tag Manager for advanced data analysis, tracking, and reporting. Ensure compliance with digital service standards and accessibility principles. Essential Skills and Experience: Demonstrated 5+ years of experience working within performance analysis or similar roles. … Strong technical capability in: Microsoft Power BI Microsoft Azure Data Services Google Analytics, Google Tag Manager, BigQuery, Looker Studio Statistical analysis, hypothesis testing, and significance evaluation Experience in designing and implementing performance frameworks and KPIs. Skilled in user-centred analysis, translating user research and behaviour into strategic insight. Excellent communication skills with the ability to present complex More ❯

of a Senior Performance Analyst and work within a multi-disciplinary team. Key Responsibilities: Lead the development of performance measurement frameworks and meaningful KPIs. Apply quantitative and qualitative data analysis to drive service improvement. Work closely with stakeholders, user researchers, and service teams to deliver actionable insights. Communicate analysis clearly using appropriate formats and tailored messaging for varied … cleansing of data. Use Power BI, Google Analytics, Looker Studio, and Azure Data Services to build dashboards and performance reports. Leverage BigQuery and Google Tag Manager for advanced data analysis, tracking, and reporting. Ensure compliance with digital service standards and accessibility principles. Essential Skills and Experience: Demonstrated 5+ years of experience working within performance analysis or similar roles. … Strong technical capability in: Microsoft Power BI Microsoft Azure Data Services Google Analytics, Google Tag Manager, BigQuery, Looker Studio Statistical analysis, hypothesis testing, and significance evaluation Experience in designing and implementing performance frameworks and KPIs. Skilled in user-centred analysis, translating user research and behaviour into strategic insight. Excellent communication skills with the ability to present complex More ❯