26 to 50 of 266 Permanent Statistical Analysis Jobs

NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Experience with scripting language (e.g., Python, Java, or R) PREFERRED QUALIFICATIONS - Master's degree, or Advanced technical degree - Knowledge of data modeling and … data pipeline design - Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country More ❯

Job summary To support the Information Manager within the Contracting & Costing Department in the provision of an information and analysis service delivering accurate, timely and effectively communicated information to external and internal stakeholders. They will be a key player in ensuring that the organisation has robust activity/performance data and effective reporting to allow it to function as … to avoid disappointment. Person Specification Qualifications Essential Degree or equivalent relevant experience Practical experience of designing and developing applications and systems Knowledge and Experience Essential Specialist knowledge of information analysis and the use of information through degree or equivalent, plus additional specialist knowledge acquired through training and relevant experience Understanding of statutory and mandatory requirements, with clear knowledge of … best practice Understanding of NHS contracting, commissioning and regulatory requirements/processes Database design and management, statistical analysis, data modelling and interrogation Extensive skillset in business intelligence software including Microsoft Power BI Experience of providing business intelligence, reports and dashboards Excellent communications skills, written and verbal Ability to understand and interpret customer requirements and deliver the correct level More ❯

requires experience in building Business Intelligence solutions, paired with bringing a hands-on data engineering mentality. We seek individuals that enjoy to collaborate across stakeholders and that bring excellent statistical and analytical abilities to the team. Heavy Bulky & Services is a growing Amazon business, designed to enable Customers to enjoy website browsing, product shopping and delivery experience for our … and interpreting data with Redshift, Oracle, NoSQL etc. - 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 ❯

regulated services, or government frameworks. Ability to structure insight products that align with DBFO obligations, concessionaire expectations, or national infrastructure KPIs. Advanced Analytical and Technical Proficiency - Strong background in statistical analysis, diagnostic modelling, and the use of analytics to support asset management decisions. Hands-on experience in Python and/or R, SQL database interrogation, data modelling, and More ❯

innovation that is part of the company's DNA. Amazon Seller Services is looking for a Data Scientist to work hands on from concept to delivery on generative AI, statistical analysis, prescriptive and predictive analysis, and machine learning implementation projects. We are looking for a problem solver with strong analytical skills and a solid understanding of statistics … understanding of collecting, assembling, cleaning and setting up disparate data from enterprise systems. Key Job Responsibilities Ability to understand a business problem and the available data and identify what statistical or ML techniques can be applied to answer a business question. Given a business problem, estimate solution feasibility and potential approaches based on available data. Understand what data is … it together. Work with partner teams where needed to facilitate permissions and acquisition of required data. Quickly prototype solutions and build models to test feasibility of solution approach. Build statistical models/ML models, train and test them to drive towards the optimal level of model performance. Improve existing processes with development and implementation of state of the art More ❯

data driven decision making. Another key aspect of the job is to unearth insights from data to help the operations team in driving process excellence. This position requires excellent statistical knowledge, superior analytical abilities, good knowledge of business intelligence solutions and exposure to efficient data engineering practices. The BIE will also be a good stakeholder manager as he/… NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Experience with scripting language (e.g., Python, Java, or R) - Master's degree, or Advanced technical degree - Knowledge of data modeling and data pipeline … design - Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region More ❯

the London office. In this role, you will be at the forefront of our data-driven initiatives, training machine learning and artificial intelligence models as well as leveraging advanced statistical techniques to uncover trends and patterns that inform our business strategy. Your insights will play a key role in shaping decisions across various business areas, including marketing, sales, claims … with emerging trends in data science and the pet insurance industry. You'll have the opportunity to evaluate and implement new methodologies, tools, and frameworks to keep our data analysis and modelling processes at the cutting edge. Your responsibilities Manage data science projects across the business Leverage advanced statistical techniques and machine learning/AI models to identify … data visualisation, reports, and presentations. Stay updated on emerging trends and technologies in data science and the pet insurance industry, implementing new methodologies, tools, and frameworks to enhance data analysis and modelling processes. Perform statistical analysis, machine learning, and data mining to support various business needs. Participate in Agile or Kanban methodologies, contributing to a collaborative and More ❯

through data-driven insights. Key job responsibilities For this role we are looking for someone who can: Independently design and lead quant-focused UX research projects (survey design, implementation, statistical analysis, quant usability, etc.) Triangulate and synthesize survey insights with engagement metrics, live experiment metrics, user logs, and qualitative insights and turn them into compelling narratives and actionable … and teams, managing complex relationships and building consensus when faced with discordant views Own the end-to-end lifecycle of the study design, including survey design, survey programming, fielding, analysis, reporting, and communicating research initiatives, etc. Demonstrable experience in any of the following areas (multiple areas preferred): sample design, conjoint surveys, data wrangling, nonresponse adjustment, survey weighting, causal analysis … including developing and validating survey measures and/or assessments and applying quantitative methods to business and industry settings Proficiency in experimental and quasi-experimental methods Experience with data analysis package (R, SAS, Matlab, SPSS, etc.) Demonstrated mastery of statistical modeling and hypothesis testing Strong skill with R, Python, or similar languages Proficiency with SQL and data visualization More ❯

workflow, improve claims management and support better customer experiences. We also provide a fraud detection service across multiple perils and lines of business. Using intel processing, real-time fraud analysis and image forensics we help detect fraud at every stage of the claim and manage cases more effectively. Role Purpose Verisk are looking for a Data Scientist to support … International Analytics Team is a dynamic and exciting place to work: our projects are extremely varied and include developing supervised machine learning models, unsupervisedclustering type models, language modelling, network analysis and a variety of other statistical analysis methods. The successful candidate(s) will be at an early stage in their career.You will have the opportunity to play … for claims and underwriting Support a high-performance collaborative culture. Participate in peer-review with colleagues where appropriate to learn, teach, and ultimately, produce high quality results. Execute data analysis and exploratory analysis (project design, processing of and cleaning of data, merging/joining disparate data sources, feature engineering, performing analyses and communicating results). Produce models using More ❯

analytics or data engineering role Background in data analytics, proficient in SQL or Python Pandas Experience with data visualization tools, such as Tableau, GGplot, Keynote etc Fundamental understanding of statistical analysis, forecasting and modeling Preferred Qualifications Experience in coding for automation (e.g. Scala, Python, Java etc.) Familiarity with writing data pipelines using one or more big data technologies More ❯

London! Salary Range: £60.000 - £70.000 annually, based on experience and qualifications. About the job: We are seeking a highly skilled Data Scientist with expertise in CRM and customer behavior analysis to join our newly founded CRM Data Science team. You will play a crucial role in analyzing customer behavior on our gambling platforms, providing insights and building features that … optimization. Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. … till bringing out the product to customers, and beyond. What will make you stand out: Experience working in an analytics role in the gambling industry. Experience with CRM data analysis and customer segmentation. Knowledge of tensorflow/pytorch. Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. Experience in design and evaluation More ❯

datasets, and share insights to optimise category performance. You will collaborating with In-Stock Merchandising team and will manage another Data Analyst to drive NPD, category decision-making, and analysis in product buying and inventory management. Key responsibilities of this Lead Data Scientist - Category Management : Partner with the Data Team to measure and report on availability levels and their … experience in analytics or data science, preferably in grocery, operations, marketing or consumer products. Open to experience in Investment Banking as Senior Associate or VP level Strong understanding of statistical analysis and experiment design. Ideally a bachelor's degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential Experience in developing machine More ❯

who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. The Research Analyst will perform Big data analysis to identify patterns, train model to generate product to product relationship and product to brand & model relationship. The Research Analyst is also expected to continuously improve the ML/… should be able to write clear and detailed functional specifications based on business requirements. Key job responsibilities • Scoping, driving and delivering complex projects across multiple teams. • Performs root cause analysis by understanding the data need, get data/pull the data and analyze it to form the hypothesis and validate it using data. • Build programs to create a culture … team(s)/partners to meet program and/or product goals. • Coordinates design effort between internal team and External team to develop optimal solutions. • Performs supporting research, conduct analysis of the bigger part of the projects and effectively interpret reports to identify opportunities, optimize processes, and implement changes. • Ability to convince and interact with stakeholders at all level More ❯

data visualisation platforms (e.g. Power BI, Looker) and also using AI tools and D3.js) • Strong programming skills in relevant languages (Python, DAX, SQL) with experience in data manipulation and statistical analysis • Solid understanding of data architecture principles and cloud-based analytics platforms • Knowledge of web technologies (HTML, CSS, React/Vue) for custom visualisation development Design & User Experience More ❯

data visualisation platforms (e.g. Power BI, Looker) and also using AI tools and D3.js) • Strong programming skills in relevant languages (Python, DAX, SQL) with experience in data manipulation and statistical analysis • Solid understanding of data architecture principles and cloud-based analytics platforms • Knowledge of web technologies (HTML, CSS, React/Vue) for custom visualisation development Design & User Experience 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 ❯

This is a hands-on analytical role combining customer analytics, data science, and strategic insight. You’ll take ownership across a blend of traditional customer analytics and more advanced statistical modelling projects, supporting fast feedback loops across marketing performance, churn, forecasting, and member engagement. The role offers scope to grow into either a strong individual contributor role or people … leadership position as the function scales. Key Responsibilities Analyse customer behaviour across the platform to support commercial growth and marketing optimisation. Deliver pre- and post-campaign analysis, segmentation work, and ongoing performance tracking. Build and deploy statistical models such as linear regression, clustering, forecasting, and advanced A/B tests. Work closely with ML Engineers, commercial teams, and … senior stakeholders to translate insight into business action. Support marketing measurement, frequency analysis, churn reduction and commercial opportunity assessment. Collaborate cross-functionally with data engineering, product, and commercial teams on high-impact projects. Present clear, actionable insight to both technical and non-technical stakeholders across the business. Skills & Experience Essential: Strong experience in customer analytics, data science, or advanced More ❯

shape data strategies. Key responsibilities As a Data Analyst, your roles will vary based on client needs. The position is hands-on, supporting projects with a focus on: Data analysis and reporting: Conduct in-depth analyses, generate reports, and provide actionable insights. Data and BI visualisation: Create dashboards using tools like Power BI, Tableau, Quicksight. Client interaction: Understand client … and present findings clearly. You will ensure outcomes for users are delivered, considering the broader context of each delivery and aligning operational and analytical aspects. Skills, knowledge, and expertise Analysis and synthesis Application of analytical techniques: Proficiency in statistical analysis, data mining, qualitative analysis, selecting appropriate methods based on context. Synthesis of research data: Experience in … and linkage: Experience with validation checks and data merging. Data preparation: Handling missing data and duplicates. Communication: Discussing data limitations with guidance. Peer reviews: Participating to improve data quality. Statistical Methods and Data Analysis Knowledge of statistical methods: Familiarity with hypothesis testing, regression, clustering; eagerness to learn appropriate applications. Analysis and interpretation: Using software or programming More ❯

collaborating with leading brands to access consumer behavioural data previously unavailable. The Role Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources for analysis. Statistical Analysis: Use econometric techniques like regression, time series, and panel data analysis to explore relationships between media spend and outcomes. Model Validation and Interpretation: Evaluate model accuracy … and budget optimization. Advanced Analytics: Explore machine learning techniques to enhance insights and model accuracy. Your Experience and Skills Data Science: Proficiency in Python, R, SQL, including data manipulation, statistical modeling, and visualization. Econometrics: Experience with regression, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and KPIs. Communication More ❯

TS/SCI clearance and Full Scope Polygraph to support the intelligence community by delivering meaningful visualizations, analytics, and data-driven insights. The ideal candidate excels in business analytics, statistical analysis, and interactive data visualization-particularly with Tableau and/or Power BI. Application Deadline: June 29, 2025 Location: Chantilly, VA Key Responsibilities: • Interpret data models and work … with diverse data sources and structures. • Create compelling data visualization prototypes, mockups, and dashboards. • Translate business needs into actionable project specifications. • Apply qualitative and quantitative data analysis to support strategic objectives. • Prepare, transform, and combine data using tools such as Tableau Prep, Python, and SQL. • Present complex information to both technical and non-technical stakeholders. • Document processes and visualization … Power BI, or similar data visualization platforms. • Experience using Tableau Prep Builder or other data prep tools. • Strong programming skills in Python or SQL. • Proficiency in Excel and data analysis best practices. • Demonstrated experience in at least two of the following: business analytics, statistics, data verification/validation, or data visualization. • Strong interpersonal and communication skills. • Proven ability to More ❯

building required data model, acquiring new data sources and building comprehensive data visualizations for key stakeholders. You will mine data, identify data co-relation across different functional areas, run statistical analysis, gather insights and make recommendations based on your findings to help senior leaders make key business decisions. Data analysis is at the core Amazon's culture … military experience - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science More ❯

job responsibilities 1) Apply multi-domain/process expertise in day to day activities and own end to end roadmap. 2) Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution. 3) Define analytical approach; review and vet analytical approach with stakeholders. 4) Proactively and independently work with stakeholders to construct use … lead work with data engineering for full-scale automation 6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis 7) Work with a variety of data sources and Pull data using efficient query development that requires less post processing (e.g., Window functions, virt usage) 8) When needed, pull … analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes 2) Have the capability to handle large data sets in analysis through the use of additional tools 3) Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes 4) Understand the basics of More ❯

Principal 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 Principal Data Analyst to join our Data & AI Strategy team to explore strategic opportunities for value from data and AI. As an … You'll enjoy the journey from uncovering and profiling new value pools and developing hypotheses for value. This will mean getting hands on with data in messy (multidimensional) exploratory analysis of complex 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 … 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 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: Analyse relevant More ❯

the business by delivering data-driven insights, identifying trends, and supporting post-market quality processes. This role combines deep analytical expertise with hands-on involvement in complaint handling, trend analysis, tracking and compliance-driven reporting. You will also perform key post-market quality engineering functions, ensuring our products continue to meet high standards of safety, performance, and regulatory compliance. … as product investigations, ad hoc risk reviews, return process, intake process and product monitoring across all franchises. Execute quality engineering activities for all post-market product surveillance, including collection, analysis, and evaluation of product safety and performance data. Analyze complaint data to detect emerging trends and quality issues that may require further investigation or corrective action. Lead complaint analysis … Ensure compliance with all Quality Management System requirements and KPIs. Support CAPAs, Health Hazard Evaluations (HHE), audits, inspections, and other investigations using standard quality tools (e.g., fishbone diagrams, Pareto analysis, process mapping, control charts and other Minitab statistical analysis tools). Cross-Functional Support & Leadership: Serve as liaison between marketing, manufacturing, quality, and R&D to maintain More ❯

report on their progress. Develop relationships and processes with finance, sales, business operations, solution delivery team, partners, BD, and other cross-functional stakeholders. Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers. Collaborate with data scientists, BIEs, and BAs to deliver high-quality data architecture and pipelines. A Day in the Life … NoSQL, etc. experience. Experience with data visualization using Tableau, Quicksight, or similar tools. Experience with one or more industry analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g., t-test, Chi-squared). 2+ years of experience in Anaplan model building. PREFERRED QUALIFICATIONS Master's degree or Advanced technical degree. Knowledge of data modeling and … data pipeline design. Experience with statistical analysis, correlation analysis. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. Posted: April More ❯