16 to 40 of 208 Statistical Analysis Jobs

DATA SCIENTIST- LOGISTICS £50,000 - 60,000 BARNSLEY Work a crucial role within a customer focussed team, using predictive modelling and statistical analysis to provide insights that can affect this high growth retailer across their logistics! THE COMPANY A UK renowned retailer within fashion going through a HUGE … SKILLS The successful candidate will have the following skills and experience: Strong SQL and Python with previous experience in data extraction, data manipulation and statistical analysis and model deployment Expert using visualisation tools such as PowerBI or Tableau to provide insights in an aesthetic visual deck Great communicator more »

LEAD DATA SCIENTIST £60,000 – 75,000 LEICESTER Work a crucial role within a customer focussed team, using predictive modelling and statistical analysis to provide insights that can affect this high growth retailer! THE COMPANY A UK renowned retailer within fashion going through a HUGE digital transformation and … successful candidate will have the following skills and experience: Strong SQL/R/Python with previous experience in data extraction, data manipulation and statistical analysis and model deployment Expert using visualisation tools such as PowerBI or Tableau to provide insights in an aesthetic visual deck Great communicator more »

protocol, SAP, study report development, and disclosure. Communicate effectively about the utility of RWE across the product lifecycle and drive use of study/analysis results to support internal and external decisions. Contribute to the communication of observational research results, including development of pertinent sections of regulatory documents, publications … RWE, including in support of early-stage clinical development, regulatory approvals, and/or safety commitments. Experience designing and conducting observational research, including protocol, statistical analysis plan, and study report development. Experience with secondary data analysis, including electronic medical record and/or medical claims databases, and … with statistical analysis tools, such as SAS and R. A track record of scientific publications demonstrating expertise in observational study design, analysis, and interpretation is preferred. Knowledge of the Oncology therapeutic area. Experience leading studies and projects in a matrix setting. Demonstrated ability to function with autonomy more »

Do : Guidehouse is seeking a Senior Operations Research/Systems Analyst to develop, integrate and continually improve data management processes. Prepare thorough and comprehensive statistical analysis reports. Work both independently and as an effective team member in a changing environment and short deadlines. Establishes key elements of operational … plans Participate in discussions to influence processes Communicate with clients or external stakeholders on matters related operational planning and analysis What You Will Need : An ACTIVE and CURRENT TOP SECRET/SCI federal security clearance with a COUNTERINTELLIGENCE (CI) polygraph; MUST obtain and maintain a FULL SCOPE (FS)/… policies and standards (understand legal rulesets) Knowledge of data flow practices and data sharing processes, agreements, and methods Ability to prepare thorough and comprehensive statistical analysis reports Confluence and JIRA experience Experience working with IC community Partners What We Offer : Guidehouse offers a comprehensive, total rewards package that more »

this would typically be co-ordinated with the support of a CRO, but knowledge of this process would be beneficial. Also, direct management and statistical analysis of analytical data sets (generated in-house) as well as verification planning and testing would be involved. Overall, efficient use, consistency and … many of the following as possible: Work experience gained through the development of a medical device, ideally an IVD; Experienced in the organisation and statistical analysis of data generated from clinical studies; Taken a medical device through V&V, with FDA and/or CE approval and launch more »

Proven experience liaising with key stakeholders and handling accounts in a media setting. Excellent experience and ability building models in Marketing Effectiveness ( MMM , Econometric Analysis , Statistical Analysis ). Ability to lead and mentor the analytics team, as well as knowledge of media data systems and disaggregate data more »

you will play a crucial role in supporting the financial operations of our catering and client services, ensuring accuracy and efficiency on all data analysis and subsequent recommendations. If you have a previous background in finance, excellent analytical skills, and previous experience within the hospitality or catering industry , we … including catering orders, sales records, customer feedback, and operational reports. Data Processing: Clean, pre-process, and organise data to ensure accuracy and consistency. Data Analysis: Utilize statistical techniques, data mining, and predictive modelling to extract meaningful insights from the data. Performance Tracking: Monitor key performance indicators (KPIs) such … as sales trends, customer preferences, order volumes, and profitability. Trend Analysis: Identify patterns and trends in catering data to anticipate customer demand, seasonal variations, and market trends. Forecasting: Develop forecasting models to predict future catering demands and optimize inventory management. Reporting: Prepare comprehensive reports and dashboards to communicate findings more »

umbrella company) Our client, a leading innovator in data-driven decision-making, is seeking a Data Scientist to contribute to their product strategy through statistical analysis. This role requires a blend of statistical expertise and business acumen. You will play a key role in shaping product strategy by … conducting insightful analysis and presenting findings to stakeholders. This role presents an ideal opportunity for a self-motivated individual who excels in collaborative environments and possesses strong communication skills. About the Role: We are looking for a Data Scientist to conduct statistical analysis to support product strategy … decisions. Ideally you will have experience in data mining, statistical methods and modelling/scoring techniques. Responsibilities: Independently running analysis of large datasets, producing results and presenting these to business partners with the support of data science peers. Requirements: A degree in Computer Science, Mathematics, Statistics or Quantitative more »

Clinical Statistical Programmer; Global Pharma, Oncology - Remote - Permanent Proclinical is seeking a dedicated Clinical Statistical Programmer with a focus on Oncology. This is a remote permanent position. Primary Responsibilities: In this role, you will apply your biostatistics skills and experience to support the development of scientifically based arguments … part of our Global Biostatistics department, collaborating with multiple functional areas across the company. Skills & Requirements: Advanced degree (MSc or PhD). Proficiency in statistical programming, particularly SAS. Detailed knowledge of CDISC standards (SDTM, ADAM). Excellent communication skills, both written and verbal, with the ability to communicate complex … statistical concepts to non-statistical audiences. Ability to work effectively in a team environment and to manage multiple projects simultaneously. Attention to detail and the ability to prioritize tasks and meet tight timelines. The Clinical Statistical Programmer will: Support analysis and reporting on clinical projects. Collaborate more »

solution delivery. The successful candidate(s) will be expected to: Lead commissions in area of efficiency & value identification, assurance & continuous improvement, construction economics research & analysis, and general data advisory services. Have experience in one or more of the following technical disciplines: Cost Model and/or Cost Estimate development … Statistical Analysis to support benchmarking and efficiency exercises Business Cases development and Cost Benefit Analysis Evaluation of strategic options to support investment decisions Design business models. Identify cost reduction opportunities through benchmarking and efficiency exercises Possess analysis capabilities which can be applied to client and industry … delivery Demonstrable experience and/or relevant qualification in one or more of the following: cost modelling, cost estimation, business case development, cost-benefit analysis or statistical analyses. Knowledge and interest in the infrastructure sector and its ongoing developments Strong capability in the Microsoft Suite of products Effective more »

solution delivery. The successful candidate(s) will be expected to: Lead commissions in area of efficiency & value identification, assurance & continuous improvement, construction economics research & analysis, and general data advisory services. Have experience in one or more of the following technical disciplines: Cost Model and/or Cost Estimate development … Statistical Analysis to support benchmarking and efficiency exercises Business Cases development and Cost Benefit Analysis Evaluation of strategic options to support investment decisions Design business models. Identify cost reduction opportunities through benchmarking and efficiency exercises Possess analysis capabilities which can be applied to client and industry … delivery Demonstrable experience and/or relevant qualification in one or more of the following: cost modelling, cost estimation, business case development, cost-benefit analysis or statistical analyses. Knowledge and interest in the infrastructure sector and its ongoing developments Strong capability in the Microsoft Suite of products Effective more »

in creating meaningful and insightful data analytics used in executive decision-making at Stericycle. This role will have you utilizing various techniques such as statistical analysis and data mining, supporting, and developing the solutions and recommendations for the global commercial organization. The Senior Sales Operations Analyst is a … solutions to functional leaders based on the analytical trends and results found in the data and market trends. You’ll conduct data mining and analysis for ad hoc projects by leveraging exploratory data analysis and data visualization. You’ll support the design and maintenance of data and business … reports within a standard reporting application (i.e., SAP Business Objects, Cognos BI, SQL Reporting Services, etc.) and in creating ad hoc data marts for analysis using ETL tool (i.e., SQL, Alteryx, SSIS, etc.). You’re proficient in Excel and comfortable using other Microsoft Office products. Experience in service more »

data modelling. A strong problem solving mindset. Nice to have: Experience working with Radar. Previous experience in the Insurance industry. Responsibilities: Production of business analysis reports. Maintenance of analysis programs written in SAS, RADAR, and other software packages. Write new analysis code using SAS, RADAR, and other … EMBLEM, and other software packages. Monitor, maintain, update and improve existing predictive models. Produce timely and accurate information for management decision-making purposes. Apply statistical techniques including generalised linear modelling and non-linear methods to improve the performance of the company. Qualifications: Minimum 2:1 in a numerical undergraduate … discipline Strong background in statistical methods Experience of personal lines insurance analysis is an advantage Experience of SAS, Emblem, Excel and advanced statistical techniques Strong mathematical skills Strong problem-solving skills, with the ability to adopt a logical approach to solving problems Excellent data and statistical more »

forefront of innovation to address the entire breadth of opportunities in the evolving world of cloud, digital and platforms. Role purpose/summary Data Analysis: Apply statistical analysis and data mining techniques to extract insights from large datasets, supporting decision-making and strategic planning. Service Management: Utilise … Data Modelling: Develop and implement data models to support the organisation's data infrastructure, ensuring that data is structured in a way that facilitates analysis and reporting. Predictive Modelling: Build predictive models to forecast future service performance and identify potential issues before they impact service delivery. Data Visualisation: Create … communicate complex data insights in a clear and concise manner to stakeholders at all levels. Machine Learning: Apply machine learning techniques to automate data analysis and prediction processes, improving efficiency and accuracy. ServiceNow Expertise: Leverage expertise in ServiceNow to surface, link, and map data, providing comprehensive insights into service more »

our Self-Service Analytic Initiatives. In addition, you will play a crucial role in generating prescriptive insights through the gathering of data and conducting statistical analysis. This role is 100% on-site in Indianapolis. Primary Responsibilities Develop, implement, and maintain Self-Service Analytic Initiatives Gather and analyze data to … identify trends and patterns Conduct statistical analysis on various data types and test to generate prescriptive insights Collaborate with cross-functional teams to translate data into actionable recommendations Stay up-to-date with industry trends and advancements in data Identify data gaps, find data sources to fill these … recommendations for additions to our data environment Design, implement and maintain reporting dashboards and KPIs with emphasis on automation Create decision support tools and analysis related to pricing initiatives and program changes Complete periodic variance analysis including researching POS level data for insights Prepare and deliver presentations describing more »

Pricing, Merchandising, Supply Chain & Logistics, etc). There are two primary responsibilities of the Sr. Data Science: Develop predictive analytics ("hands-on-keyboard") via statistical, machine learning, and mathematical models on Sysco's corporate data to get actionable business insights as the technical expert in the portfolio Lead and … experience with scientific scripting languages (e.g., Python) and/or object-oriented programming (e.g., C++, Java) 4+ years of experience with Bayesian statistics, regression analysis (beyond linear regression), supervised learning, unsupervised learning or timeseries analysis required Basic Qualifications: Must be able to think conceptually, strategically, and creatively with … execute something that was developed or directed by someone else) Must have experience initiating, driving and delivering complex analytical projects Able to perform quantitative analysis using appropriate analytical and visualization tools such as Python, Tableau and open source libraries Strong software design and OOP fundamentals (must be functional in more »

potential of our data. You will have the opportunity to work with various types of data, including structured and unstructured data, and utilise advanced statistical techniques and machine learning algorithms. Your role will involve developing predictive models, conducting data mining and analysis, and creating data visualisations to effectively … our strategies but inspire action and innovation across our organization.Applying data visualisation techniques to effectively communicate insights and findings. Innovative Problem-Solving: Employ advanced statistical analysis, machine learning, and predictive modelling to tackle complex challenges. You’re not just solving problems; you’re anticipating them and creating solutions … of database concepts and data manipulation. Excellent communication and presentation skills. Nice To Haves Publication or contribution to research in the field of algorithmic analysis, machine learning, or predictive analytics. A solid grasp of the latest trends in digital media consumption and a passion for exploring emerging platforms and more »

to facilitate and implement data mining and data warehousing programs to collect, clean, convert and standardize complex data for analysis. Conducting hypothesis testing using statistical processes applying quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design) to assess the validity of source data and develop strategic insights from … a managed flow of relevant information based on cybersecurity mission requirements. Analyzing and defining data requirements and specifications using various tools and methodologies (e.g., Statistical Package for Social Sciences SPSS , Statistical Analysis System SAS , R Analytics, Statistics and Data STATA ) to discover new patterns and behaviors providing … data to discover new patterns and behaviors and provide usable information to decision makers and other users. Designing and implementing data pipelines for the analysis of cyber data into systems. Structuring, cleaning, enriching, and validating data in preparation for discovery and use. Building and maintaining scalable database architecture and more »

mission is to transform data into actionable insights that drive strategic decisions and innovation across various industries. **Role and Responsibilities:** - Develop and implement advanced statistical models and machine learning algorithms. - Analyse large datasets to identify trends, patterns, and correlations. - Collaborate with cross-functional teams to understand business objectives and … or mathematical discipline (e.g., Computer Science, Mathematics, Physics, Statistics, Engineering). - Proficiency in programming languages such as Python, R, or Java. - Strong background in statistical analysis and machine learning techniques. - Experience with data visualisation tools (e.g., Tableau, Power BI) is a plus. - Excellent problem-solving skills and ability more »

advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Operate as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application and financial impact analysis. Establish and maintain effective performance tracking; identify improvement … performance and project progress to management & business partners. Collaborate with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creates more »

facilitating and implementing data mining and data warehousing programs to collect, clean, convert and standardize complex data for analysis. Conducting routine hypothesis testing using statistical processes applying quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design) to assess the validity of source data and develop strategic insights from … a managed flow of relevant information based on cybersecurity mission requirements. Analyzing and defining data requirements and specifications using various tools and methodologies (e.g., Statistical Package for Social Sciences SPSS , Statistical Analysis System SAS , R Analytics, Statistics and Data STATA ) to discover new patterns and behaviors providing … field to inform analytical methodologies and algorithms selected for implementation. Design, build, implement, integrate, and maintain systems and tools for data trend and pattern analysis of cyber data. Apply knowledge of statistics and mathematical theory to develop and integrate new and emerging technologies, such as machine learning and deep more »

facilitating and implementing data mining and data warehousing programs to collect, clean, convert and standardize complex data for analysis. Conducting routine hypothesis testing using statistical processes applying quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design) to assess the validity of source data and develop strategic insights from … a managed flow of relevant information based on cybersecurity mission requirements. Analyzing and defining data requirements and specifications using various tools and methodologies (e.g., Statistical Package for Social Sciences SPSS , Statistical Analysis System SAS , R Analytics, Statistics and Data STATA ) to discover new patterns and behaviors providing … field to inform analytical methodologies and algorithms selected for implementation. Design, build, implement, integrate, and maintain systems and tools for data trend and pattern analysis of cyber data. Apply knowledge of statistics and mathematical theory to develop and integrate new and emerging technologies, such as machine learning and deep more »

facilitating and implementing data mining and data warehousing programs to collect, clean, convert and standardize complex data for analysis. Conducting routine hypothesis testing using statistical processes applying quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design) to assess the validity of source data and develop strategic insights from … a managed flow of relevant information based on cybersecurity mission requirements. Analyzing and defining data requirements and specifications using various tools and methodologies (e.g., Statistical Package for Social Sciences SPSS , Statistical Analysis System SAS , R Analytics, Statistics and Data STATA ) to discover new patterns and behaviors providing … field to inform analytical methodologies and algorithms selected for implementation. Design, build, implement, integrate, and maintain systems and tools for data trend and pattern analysis of cyber data. Apply knowledge of statistics and mathematical theory to develop and integrate new and emerging technologies, such as machine learning and deep more »

facilitating and implementing data mining and data warehousing programs to collect, clean, convert and standardize complex data for analysis. Conducting routine hypothesis testing using statistical processes applying quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design) to assess the validity of source data and develop strategic insights from … a managed flow of relevant information based on cybersecurity mission requirements. Analyzing and defining data requirements and specifications using various tools and methodologies (e.g., Statistical Package for Social Sciences SPSS , Statistical Analysis System SAS , R Analytics, Statistics and Data STATA ) to discover new patterns and behaviors providing … field to inform analytical methodologies and algorithms selected for implementation. Design, build, implement, integrate, and maintain systems and tools for data trend and pattern analysis of cyber data. Apply knowledge of statistics and mathematical theory to develop and integrate new and emerging technologies, such as machine learning and deep more »

facilitating and implementing data mining and data warehousing programs to collect, clean, convert and standardize complex data for analysis. Conducting routine hypothesis testing using statistical processes applying quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design) to assess the validity of source data and develop strategic insights from … a managed flow of relevant information based on cybersecurity mission requirements. Analyzing and defining data requirements and specifications using various tools and methodologies (e.g., Statistical Package for Social Sciences SPSS , Statistical Analysis System SAS , R Analytics, Statistics and Data STATA ) to discover new patterns and behaviors providing … field to inform analytical methodologies and algorithms selected for implementation. Design, build, implement, integrate, and maintain systems and tools for data trend and pattern analysis of cyber data. Apply knowledge of statistics and mathematical theory to develop and integrate new and emerging technologies, such as machine learning and deep more »