1 to 25 of 265 Permanent Statistical Analysis Jobs

Salary: £55,000 - £60,000 per annum Employment type: Permanent Hours per week: 37 Reporting into: Director of Analysis, Insights and Performance Department: Analysis, Insights and Performance Click here to read the full job description and view our excellent benefits here This role operates primarily on a remote working arrangement that will require little to no travel into … There has never been a more exciting time to join Arden University, as we expand into new disciplines, forge worldwide partnerships, and expand our locations. About our Department : The Analysis, Insights & Performance department at Arden University plays a vital role in driving data-driven decisions. By providing valuable insights, monitoring performance, and promoting innovation, the team supports the university … s mission to enhance student outcomes and drive continuous improvement. About the Opportunity: As the Principal Data Analyst at Arden University, you will use your mathematics, statistical, and visualisation expertise to drive improvements in student experience, student outcomes, and operational efficiency. You'll promote the highest possible standards in analytical rigour at Arden University. You'll oversee, manage, and More ❯

federal program in El Paso, TX. We are seeking a highly skilled Senior Data Scientist with specialized expertise in Artificial Intelligence (AI) and Machine Learning (ML) to support the analysis and interpretation of large-scale datasets. This role is vital for leveraging our law enforcement client's data holdings to develop innovative insights, predictive models, and business solutions. The … ideal candidate will have experience working with unstructured data, statistical modeling, and advanced data analytics to drive decision-making and enhance operational effectiveness. Develop and support AI/ML models for data analysis, focusing on the accuracy, authenticity, expectancy, timeliness, relevancy, and viability of intelligence data. Conduct advanced data integration and statistical analysis to identify patterns … trends, and intelligence gaps. Innovate by deriving investigative, statistical, and predictive value from our clients extensive data sources. Prepare, clean, and manage big data sets, design data models, and develop robust databases to support AI-driven business solutions. Tackle complex technical challenges using state-of-the-art techniques and industry knowledge. Deploy, validate, and manage various types of data More ❯

will also play a key role in suggesting and implementing process improvements for the team to mitigate risks and enhance the overall client experience. JOB SUMMARY AND RESPONSBILITIES: Data Analysis and Process Improvement: •Analyze trade lifecycle and operational workflows to identify areas for optimization and automation. •Enable strategic decision making through data driven analytics. •Develop detailed technical specifications for … target data warehouses or databases. Risk Mitigation and Data Governance: •Implement data validation rules and monitoring mechanisms to ensure the accuracy and reliability of data used for reporting and analysis, adhering to data quality standards and regulatory requirements Stakeholder Management and Prioritization: •Work with stakeholders to define project scope, objectives, and deliverables, creating detailed project plans and timelines. •Communicate … complex calculations, custom visualizations, and performance optimization. •SQL Development Skills: Mastery of SQL, including the ability to write complex queries, stored procedures, views and perform query optimization. •Programming/Statistical Analysis Skills: Working knowledge of R or Python for analytics, data manipulation, and algorithm development. •Data Warehousing Knowledge: In-depth knowledge of data warehousing principles, dimensional modeling techniques More ❯

project his 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 8+ years in a technical field BA More ❯

big data" sources to generate actionable insights. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using statistical methods, machine learning and data visualization. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and … document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards. Build pipelines for quality control, processing and analysis of raw targeted and un-targeted datasets. Develops and codes software programs and leverages algorithms and methodologies being developed by the scientific community for use cases of relevance to Altos Labs. Stay current with … such as Biology, Chemistry, Computer Science, Physics, etc. Relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in large scale data analysis and statistical modeling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong 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 ❯

our Government Client in Portsmouth, NH. The Economic Analyst provides support to the Visa Office while assigned to both VO and the Office of the Executive Director's Post Analysis and Support Division (CA/EX/PAS). The Economic Analyst provides analysis for visa-related data and information, and the work required of this position is … 125K HR Contact Subrina Miles Job Category Exempt Security Clearance Required Secret (may require Top Secret) Position Type Full-time Duties/Requirements/Qualifications Qualifications: Expert at applying statistical theory and knowledge Demonstrated ability to study data and statistics and use understanding of economic relationships to uncover trends and forecast data Demonstrated ability to draft advanced-level reports … to producing error-free products Anticipated Duties/Tasks: Compile and comprehend a vast amount of visa metrics and provide specialized advice based on the application of economic and statistical theory and knowledge; Work closely with internal and external offices to obtain and analyze needed data; Prepare and present information on consular functions domestically and overseas, including workload and More ❯

Central Customer Analytic teams. There will be a steep learning curve, adding a fair amount of business skills to the individual. Key job responsibilities 1) Ability to do exploratory analysis: Fetch data from systems and analyze trends 2) Identify consumer segments that need to be actioned to drive adoption of Amazon Pay 3) Developing India specific customer segmentation models … payments data team provides data and insights to the partner verticals so as to enable them to take decisions. BASIC QUALIFICATIONS - 3+ years relevant experience in financial/business analysis - Experience defining requirements and using data and metrics to draw business insights - Experience making business recommendations and influencing stakeholders - 3+ years of experience with Advanced SQL, advanced Excel and … Data visualization tool like Tableau, Power BI etc. - Strong acumen and relevant experience in hypothesis testing and exploratory data analysis - 5+ years of experience in B2C business across marketing analytics, consumer research, consumer loyalty functions - Ambitious individual with a strong analytic approach and bias for data based judgement, Inquisitive mindset with proven problem solving ability, and a passion for More ❯

This position requires employees to be located in the Huntsville, AL area in order to report to work on-site at Redstone Arsenal. 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 • 8+ years in a technical field • BA More ❯

Proficiency in tools like Tableau, Power BI, and Python-based libraries such as Matplotlib, Seaborn, and Plotly. Statistics and Mathematics : Deep understanding of linear algebra, calculus, probability, and advanced statistical techniques. Soft Skills : Exceptional communication, critical thinking, and stakeholder management skills. Preferred Skills Familiarity with advanced ML techniques, such as reinforcement learning, graph ML, and large language models (LLMs … business goals. Model Development : Design and train advanced machine learning models using frameworks such as TensorFlow, PyTorch, and scikit-learn. Insight Generation : Transform complex datasets into actionable insights using statistical analysis and advanced visualization tools like Power BI or Tableau. Technical Implementation Machine Learning Solutions : Develop models for classification, regression, clustering, and NLP using modern techniques, including deep More ❯

design and implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectives • Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data • Collaborate cross-functionally with data engineers, data scientists, and business partners to define and More ❯

design and implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectives • Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data • Collaborate cross-functionally with data engineers, data scientists, and business partners to define and More ❯

solutions. Additional information regarding the role, responsibilities, and required skill sets are below. Roles & Responsibilities • Support the development of recommendations and aid in the decision-making process by using statistical data analysis, testing, and modeling of large data sets • Identify and document areas for improvement in workflows or systems • Research and document options for collecting or aggregating data … Use languages, such as Python, to collect and process data from a variety of sources • Leverage the use of APIs and computing platforms to support data collection, management, and analysis • Create, maintain, and enhance systems in support of data visualization and analytics • Automate data management, clean-up, and conditioning of data sets through the use of scripts or algorithms … Required Skill Sets: • E xperience programming or scripting and debugging in one or more languages such as: Python, Javascript, R, SQL, Scala, etc. • Proficiency with data mining, mathematics, and statistical analysis demonstrated with hands-on academic and project experience conducting statistical analysis, testing, and modeling using regression analysis, linear regression, predictive modeling, chi-squared, clustering More ❯

model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing … engineering team to refine model training and evaluation pipelines, ensuring data quality and integrity. Developing and maintaining dashboards and reports to communicate key performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to … Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large More ❯

model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing … engineering team to refine model training and evaluation pipelines, ensuring data quality and integrity. Developing and maintaining dashboards and reports to communicate key performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to … Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large More ❯

or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education: Bachelor's Degree or equivalent work experience: Data Science, Data Analysis, Operational Research, Decision Management or equivalent quantitative field. Req Master's Degree Data Science, Data Analysis, Operational Research, Decision Management or equivalent quantitative field. Pref Work Experience: 3+ … Years Data mining/advanced analytics applied to large-scale data-intensive projects. Req Skills and Abilities: Demonstrated experience with advanced statistical packages and software. Demonstrated experience building and applying machine learning/predictive modeling in real-world use cases. Strong modeling and data manipulation skills. Strong written and verbal communication skills. Strong programming capability; ability to solve problems … through programming and simulation. Strong understanding of statistical tools and their application to business, as well as principles of cost/benefit analysis, risk management, marketing, collections and operations. Proficient with the use of advanced statistical analysis software and applications (SAS, R, Python, SQL programming, etc.) Ability to read, interpret and explain complex statistical theories More ❯

or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education: Bachelor's Degree or equivalent work experience: Data Science, Data Analysis, Operational Research, Decision Management or equivalent quantitative field. Req Master's Degree Data Science, Data Analysis, Operational Research, Decision Management or equivalent quantitative field. Pref Work Experience: 3+ … Years Data mining/advanced analytics applied to large-scale data-intensive projects. Req Skills and Abilities: Demonstrated experience with advanced statistical packages and software. Demonstrated experience building and applying machine learning/predictive modeling in real-world use cases. Strong modeling and data manipulation skills. Strong written and verbal communication skills. Strong programming capability; ability to solve problems … through programming and simulation. Strong understanding of statistical tools and their application to business, as well as principles of cost/benefit analysis, risk management, marketing, collections and operations. Proficient with the use of advanced statistical analysis software and applications (SAS, R, Python, SQL programming, etc.) Ability to read, interpret and explain complex statistical theories More ❯

testable, maintainable code with minimal defects and automate manual processes. • Proficiency in one or more industry analytics visualization tools (e.g. Excel, Tableau/Quicksight/PowerBI) and, as needed, statistical methods (e.g. t-test, Chi-squared) to deliver actionable insights to stakeholders. • Building and owning small to mid-size BI solutions with high accuracy and on time delivery using … data sets, queries, reports, dashboards, analyses or components of larger solutions to answer straightforward business questions with data incorporating business intelligence best practices, data management fundamentals, and analysis principles. • Good understanding of the relevant data lineage: including sources of data; how metrics are aggregated; and how the resulting business intelligence is consumed, interpreted and acted upon by the business … interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for More ❯

similar analytics role (gaming, betting, or consumer apps is a big plus) Strong skills in SQL, Python or R, and data visualisation tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus: Experience with fraud detection or risk analytics Strong attention More ❯

companies, academic institutions, and regulatory agencies across 62 countries. The Associate Director will be responsible for dDesigning, developing, and maintaining R-based tools and workflows for drug discovery, data analysis, and computational simulations. Should be able to adapt existing R scripts and update them to meet new requirements. Ensure code is clean, efficient, and well-documented. Will work closely … with cross-functional teams, including the model-based meta-analysis team, data scientists, and software engineers, to support project goals and deliver technical solutions. Will provide analysis of large datasets related to drug efficacy, pharmacokinetics, and other biological data. Develop statistical models, predictive analytics, and visualizations to inform decision-making in drug development. Responsibilities Validate other team … programming activities. Qualifications Bachelor's or Master's degree in Computer Science, Bioinformatics, Statistics, Mathematics, Pharmaceutical Sciences, or a related field Proven experience programming in R, including data manipulation, statistical modeling, and visualization (experience with packages such as ggplot2, dplyr, shiny, tidyr, etc.). Experience working in bioinformatics, pharmacometrics, or computational biology is a plus. Experience with relational databases More ❯

exceptional experience of developing and applying data systems to pull together disparate datasets. Experience of planning and managing projects/programmes of work, developing and managing script for repeatable analysis along with the use of statistical techniques to find trends and insight from data is essential. You must have the ability to develop complex technical outputs and offer … input to the development of strategies, plans and business cases. Hands-on exploration of data, dashboards, statistical analysis and predictive modelling. Combine qualitative and quantitative driven insights to recommend potential avenues to the business teams. What are we looking for? Degree in Maths, Economics, Physics or a numerate focused degree (min 2:1) - not essential if you have More ❯

exceptional experience of developing and applying data systems to pull together disparate datasets. Experience of planning and managing projects/programmes of work, developing and managing script for repeatable analysis along with the use of statistical techniques to find trends and insight from data is essential. You must have the ability to develop complex technical outputs and offer … input to the development of strategies, plans and business cases. Hands-on exploration of data, dashboards, statistical analysis and predictive modelling. Combine qualitative and quantitative driven insights to recommend potential avenues to the business teams. What are we looking for? Degree in Maths, Economics, Physics or a numerate focused degree (min 2:1) - not essential if you have More ❯

Senior Data Analyst Contract Type: Permanent Location: Edinburgh or Glasgow or Alderley Park (Wilmslow) Working style: Hybrid 50% home/office based We are growing our Data & AI Strategy Analysis practice, and we are looking for a Senior Data Analyst to join our Data & AI Strategy team to explore strategic opportunities for value from data and AI. As an … on enabling us to deliver more value for customers and clients. You'll enjoy the journey from uncovering and profiling new value pools and getting hands on with data analysis to identify and prioritise strategic opportunities for value. In the past 2 years we have deployed a shiny, new modern tech stack and invested in a new Data & AI … up to date with the latest techniques. To be successful, you'll need strong analytical skills to identify key value drivers and model potential scenarios, and be familiar with statistical methods to ensure that we are robust and credible in our efforts to take an insight-led approach to inform our decision making at a strategic level. Key Responsibilities More ❯

driven solutions to support our company's objectives. What you will be doing Collaborate across departments to understand business objectives and identify data-driven solutions. Apply machine learning and statistical techniques to analyse complex datasets and generate actionable insights. Design and implement algorithms, models, and experiments to solve business problems and optimise product performance. Build and deploy MI and … to both technical and non-technical stakeholders through reports, visualisations, and presentations. The full life cycle of MI, PBI reports, and Dashboard. Work closely with software developers and data analysis teams to produce innovative reports and dashboards. What we are looking for Statistics, Mathematics, or a related field. Excellent problem-solving abilities, analytical skills, and attention to detail. Proficiency … SQL skills Understanding the Relational Database Data Modelling and Data Warehousing experience Strong communication skills to convey complex technical concepts to various stakeholders. Strong understanding of machine learning algorithms, statistical analysis, and data manipulation techniques. Experience with documenting processes. Data visualisation tools such as Power BI. What we can offer you 11% non-contributory pension scheme from day More ❯

happening daily at Coalition. About the role As a Data Scientist at Coalition you will be responsible for measuring, understanding, and helping optimize Coalition's underwriting. You will perform statistical analysis to provide data-driven insights. You will help us understand and improve our cyber risk selection and reduction, pricing and automation in order to grow our revenue … in a safe and efficient manner. Responsibilities Analyze diverse datasets including claims data, cybersecurity risk signals, and underwriting databases to extract meaningful patterns and insights Large scale data analysis with the objective of producing valuable risk signals to be used for underwriting or risk evaluation of organizations Create comprehensive reports on underwriting efficiency metrics and risk selection quality to … inform strategic decisions Apply statistical techniques to evaluate and improve our cyber risk assessment methodology Provide analytical support for underwriting strategies to balance growth with risk management Deliver analysis that will directly inform the development of automated underwriting systems Collaborate cross-functionally with actuarial, product, and engineering teams to implement data-driven improvements Work alongside senior data scientists More ❯