51 to 75 of 143 Permanent Statistical Analysis Jobs

and dashboards for the project and external clients. Data Organisation : Structure data to ensure compliance with WBS, CBS, and OBS for consistent reporting. Trend Analysis : Use data to predict trends and perform statistical analysis, visualising data in user-friendly formats. Digital Reporting : Implement digital reports and dashboards … using data from the Data Lake. Support Monthly Reports : Provide intelligent information and analysis for monthly report production. Training and Support : Develop training materials, conduct sessions, and provide user support. System Administration : Manage system configuration, testing, user administration, and licence management. Innovation : Attend industry events to innovate and advance more »

Effectively communicate findings to both technical and non-technical stakeholders through presentations, reports, and visualizations. Provide actionable insights and recommendations to stakeholders using data analysis, to help them make informed decisions and drive business growth. Stay updated with the latest industry trends across data & analytics leveraging technologies to improve … business capabilities. Requirements: Background in leading teams and driving stagey across Data Science and Analytics. In-depth knowledge of statistical analysis techniques and methodologies Proven experience in data analysis and visualization tools, such as SQL, Tableau, Power BI, or similar tools Excellent communication skills, presentation skills and more »

We are seeking a highly skilled Quant Analyst to join the London team. The ideal candidate will bring a wealth of experience in quantitative analysis, a deep understanding of financial markets, and a passion for leveraging data to drive trading strategies. This role involves close collaboration with various teams … optimise trading models and strategies. Here's what you'll be doing: Developing, implementing, and maintaining quantitative models for trading strategies. Conducting rigorous data analysis to identify market opportunities and risks. Collaborating with traders and other analysts to enhance trading algorithms. Utilising statistical and machine learning techniques to … sets. Continuously monitoring and improving model performance. Communicating findings and recommendations to stakeholders. Here are the skills you'll need: Strong background in quantitative analysis, finance, mathematics, or a related field. Track record of 6-18 months of real-world trading experience. Proficiency in programming languages such as Python more »

ideally Azure) and modern reporting/bi/visualisation platforms such as MS Power BI - Will be able to build and exploit data models, statistical analysis or predictive analytics, machine learning or artificial intelligence - Be experienced at embedding insights and working with the business to be able to more »

ideally Azure) and modern reporting/bi/visualisation platforms such as MS Power BI - Will be able to build and exploit data models, statistical analysis or predictive analytics, machine learning or artificial intelligence - Be experienced at embedding insights and working with the business to be able to more »

of IT data sources, ensuring data validity, and build sustainable relationships with Claims Handlers, IT, Data, actuarial departments, and other key internal teams. Deliver statistical analysis to identify performance improvement opportunities and provide MI/BI training on systems and digital innovations. Uphold ethical and service standards, demonstrate … flexibility, agile mindset, teamwork, lean & 6Sigma principles, and actively pursue self-studies to maintain knowledge. The candidate: Proficiency in SQL, statistical modelling software (e.g., R, Python), Excel (advanced), Qlik Sense or Power BI gained in an analytics role. Strong verbal and written communication skills, translating detailed reporting outputs and more »

by importing, cleaning and organising raw data in a way that enables both you and the team to make best use of it. Data Analysis by working with technical experts from the transport, operations and energy sectors to analyse current operations and help model physical and operations scenarios to … in partnership with the other senior analysts and CEO to deliver client projects. Requirements: The role requires significant amounts of hands-on quantitative data analysis, so you will need: Degree level qualification or higher in a numerate discipline (e.g. computer science, economics, logistics, engineering or physics) At least … Tableau SQL Excel & VBA Prior experience of the following is at least two of the following is essential: Client/customer interactions Optimisation Problems Statistical analysis or Machine Learning Experience or interest in the following fields would be highly beneficial: Electric Vehicles and Chargers Energy Storage Commercial vehicles more »

floating holidays. This role can be flexible with 1-2 days WFH Main Responsibilities Build end-to-end bioinformatics pipelines for automated NGS data analysis and support sa-mRNA structure and stability assay development. Perform statistical analysis on different types of NGS datasets and extract sa-mRNA … considered). Minimum 4 years of post-graduate RNA research and development experience in industry and/or academic environment. Extensive experience with the analysis of short-read and long-read sequencing data to interpret RNA structure, translation, and stability properties. Experience in mRNA sequence design with desired molecular … features and properties using advanced machine learning is highly desired. Experience with developing scalable bioinformatic workflows and pipelines to automate NGS data analysis following best practices of research software development. Experience with applying advanced statistical, bioinformatic methods and machine learning algorithms to analyze genomic datasets and collaborating with more »

to hire multiple Data Scientists to join them in their offices in Guildford. They're looking for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role … You're more than capable with SQL & Python You have exposure to big data technologies such as Spark Ideally you will have experience with statistical analysis, machine learning algorithms, and data mining techniques You have excellent communication skills and can communicate well with both technical and non-technical more »

currently in an exciting time of growth. THE ROLE As a Customer Analyst, some of your main responsibilities will be: Preparing and presenting compelling analysis findings to the senior management teams. Providing actionable insights of the back of analysis completed on customer and marketing data, using SQL. Own … projects end-to-end and manage the process. Work mainly on customer and marketing data sets looking at; customer LTV, churn, retention, marketing channel analysis, ROI etc. YOUR SKILLS AND EXPERIENCE A successful Customer Analyst will have: Advanced experience of SQL, Tableau/Power BI and R or Python. … Commercial experience carrying out statistical analysis and predictive modelling. Highly numerate with a strong commercial acumen. Educated to a degree level in a STEM subject. THE BENEFITS A salary of £40,000-£50,000. Comprehensive benefits package. Lots of flexible working - remote first. Lots of ownership of projects. more »

implementing best practices for data governance and quality control. Previous experience: Proven experience in a similar role, with a strong focus on data management, analysis, and visualisation. Proficiency in Power BI and other data visualisation tools. Strong technical skills, including experience with SQL, ETL processes, and data warehousing solutions. … non-technical stakeholders in a clear and concise manner. Familiarity with data storage solutions such as Mongo Atlas and AWS S3. Key Requirements: Data Analysis and Reporting: Demonstrated ability to perform detailed data analysis and generate comprehensive reports. Business Acumen: Strong understanding of business operations and the ability … to align data insights with business strategies. Technical Proficiency: Proficient in ETL processes, SQL, and statistical analysis. Previous Experience: Proven work experience in projects that involved data analysis, problem-solving, building reports, BI tool implementation, dashboard development, and data integrations. Requirements: Strong communication and collaboration skills. Excellent organisational more »

dataset. These insights are instrumental in enhancing investors' decision-making processes and ultimately driving superior outcomes for their clients. Key Responsibilities: Conduct in-depth statistical research (primarily in R) on data generated by stock pickers throughout their decision-making cycles. Articulate data-backed insights to investment decision-makers in … a clear and concise manner. Collaborate with the development team to prototype decision analysis tools that offer actionable feedback to investment teams. Utilize advanced statistical techniques and modelling to identify and interpret patterns in actions and outcomes. Work closely with behavioural science experts to provide quantitative evidence in … superior returns for clients. Experience: Degree in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related field. Strong quantitative skills with proficiency in statistical analysis and coding (Python, R). Experience in applying quantitative methods to financial data analysis. Exhibited excellence in academic and/or extra more »

of analyst, assign projects and allocate resource, communicate business performance and project progress to management & business partners. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis. Establishes and maintains effective performance tracking; identify improvement more »

that support short term incentives and annual bonus plans as well as associated payments that form part of the annual reward cycle. Provides guidance, statistical analysis, data modelling and cost analysis as and when required. Deliver regular data reports that hold up to date information on the more »

prepare descriptive epidemiology, contribute to the production of outbreak reports, investigate exceedances and interview cases and controls. Undertake complex analytical tasks and use common statistical, database and mapping software and tools to support analysis such as producing tables, graphs, maps etc. and developing advanced queries. Maintain and improve … surveillance data including use of automated routines and through audit and produce and update Standard Operating Procedures. Have knowledge of, apply and interpret basic statistical tests,conduct statistical analyses of surveillance data, produce reports and outputs using common statistical/database/mapping tools such as Stata … R, ArcGIS, network analysis, SQL, etc, respond to routine and more complex data requests and produce routine surveillance reports, including basic descriptive analysis and interpretation of results. For a full list of duties and responsibilities please refer to the attached job description document. About us We pride ourselves more »

compliance with regulatory standards. What were looking for Understanding of quality engineering principles. Creation and maintenance detailed documentation for quality processes and standards. Data analysis techniques for quality improvement and defect prevention. Root cause analysis methods to identify and address underlying issues. Statistical analysis for process … optimization and performance enhancement. Failure analysis methodologies to enhance reliability and mitigate risks. If you're looking for a role where your ideas matter and every day brings new adventures, this is the perfect launchpad for your career. With customers across Europe, and a significant run-way of funding more »

and reporting automation initiatives. Requirements: Experience in Star Schemas and Tabular Modelling. Hands-on experience in implementing Power BI solutions for financial reporting and analysis, including dashboard design and data visualisation.. Understanding of a broader range of Microsoft and other solutions for use-cases for finance processes Knowledge of … in querying, extracting, and manipulating financial data from relational databases. Familiarity with programming languages such as Python or R for data manipulation, automation, and statistical analysis is beneficial. Demonstrable experience in leading and managing projects related to data and reporting automation, from inception to completion By applying you more »

of the BI platform to help build out the road map Collaborate with stakeholders to understand their needs and deliver actionable insights Perform data analysis and data validation to ensure data quality and accuracy Gather business requirements into data models and analytical solutions YOUR SKILLS AND EXPERIENCE To be … Power BI, SQL, SSAS, SSMS, and SSIS for the end-to-end process of data Utilising DAX for data modeling Hands on experience of statistical analysis and its implementation in BI models Extensive experience delivering BI solutions working with the BI stack and providing end-to-end BI more »

processes.. Analytical Skills: Excellent problem-solving skills and attention to detail. Ability to interpret complex data sets and translate them into actionable insights. Strong statistical analysis skills. This role is hybrid 3 days onsite in Carlisle. Please note this client can't provide sponsorship more »

e.g., Scikit-learn, TensorFlow) and visualization libraries (e.g., Matplotlib, Seaborn). - Strong SQL skills and experience with data visualization tools (e.g., Tableau). - Basic statistical analysis knowledge. - Experience in deploying production ML systems. - Familiarity with DevOps in a data science context (e.g., MLOps) is a plus. Tools currently more »

e.g., Scikit-learn, TensorFlow) and visualization libraries (e.g., Matplotlib, Seaborn). - Strong SQL skills and experience with data visualization tools (e.g., Tableau). - Basic statistical analysis knowledge. - Experience in deploying production ML systems. - Familiarity with DevOps in a data science context (e.g., MLOps) is a plus. Tools currently more »

other financial institution Strong programming skills in C# and experience with SQL and database management systems Strong analytical and quantitative skills, and experience in statistical analysis, data modeling or machine learning desirable High levels of motivation and continually seeking to improve the performance of self and supportive of more »

other financial institution · Strong programming skills in languages such as Python and experience with Rest API · Strong analytical and quantitative skills, and experience in statistical analysis, data modeling or machine learning desirable · High levels of motivation and continually seeking to improve the performance of self and supportive of more »

including the ability to define and drive the delivery of project plans including developing of service transition plans.modern agile software development including Agile Business Analysis, prototyping, APIs, architecture patterns, test automation and DevOps.executing full lifecycle of AI and Analytics implementations from planning to deployment. , including data modelling, machine learning … statistical analysis, data reporting, and visualisation.Focused on accuracy and attention to detail; providing developers and/or data engineers with a clear understanding of specifications/requirements.Client care and relationship development; will work to understand business’ structure and objectives. This will include regular meetings, backlog prioritisation with product more »

of delivering impactful solutions. Proficiency in programming languages such as Python or R, and experience with machine learning libraries and frameworks. Solid understanding of statistical analysis, data mining, and predictive modeling techniques. Excellent communication and interpersonal skills, with the ability to effectively convey complex technical concepts. Strong leadership more »