Provide insights, solutions, and recommendations to address problem statements from the candidate initiatives. What are we looking for? Extensive experience in a senior data analysis position with strong experience in data analysis using tools such as SQL, Excel, Power BI and AWS data insight tooling. Ability to utilize … programmatic and quantitative methods to identify patterns and relationships in large data sets, as well as apply mathematical, statistical, and other data-driven analysis to address intelligence questions. Proven ability in using statisticalanalysis, predictive modelling and explanatory modelling to identify trends. Ability to work well More ❯
Job Title: Junior RWE Statistician/Statistical Programmer Location: Spain (Remote) Job Type: Full-time About the Role We are looking for a Junior RWE Statistician/Statistical Programmer to join a dynamic and growing team. This is an exciting opportunity for an early-career professional with a … decision-making. Key Responsibilities: Assist in the design, execution, and interpretation of real-world evidence studies, including observational research and health outcomes analyses. Perform statistical programming and data analysis using SAS. Support the development of statistical methodologies and study protocols. Conduct data cleaning, transformation, and quality control … degree or PhD in Biostatistics, Statistics, Epidemiology, or a related field. Minimum of 2 years industry experience Experience or coursework in real-world data analysis (e.g., claims data, electronic health records, registries). Proficiency in SAS for statisticalanalysis and data manipulation. Knowledge of biostatistics, epidemiological methods More ❯
the company's DNA. Amazon Seller Services is looking for a Data Scientist to work hands on from concept to delivery on generative AI, statisticalanalysis, prescriptive and predictive analysis, and machine learning implementation projects. We are looking for a problem solver with strong analytical skills and … 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 … 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 More ❯
of Tenth Revolution Group is seeking a skilled Data Analyst for a fully remote role. The ideal candidate will have demonstrable experience in data analysis, with a strong ability to solve complex problems and provide actionable insights. This is an excellent opportunity for individuals looking to apply their expertise … in a dynamic environment while working remotely. If you're passionate about data and have a proven track record of driving decisions through your analysis, we encourage you to apply today and take the next step in your career! Position: Data Analyst Salary: £55,000 - £75,000 per year … role offers the opportunity to work with large data-sets and provide actionable insights that drive strategic decisions across the business. Main Duties Data Analysis: Analyse large data-sets to identify trends, patterns, and insights that support business decision-making. Reporting & Dashboards: Develop and maintain reports and dashboards to More ❯
upon Technology & provide a conduit for business information to flow into the Technology team. Support the definition, documentation, and continuous improvement of Halfords Business Analysis methodology. Apply a standard methodology to undertaking structured Business Analysis engagements, agree objectives with stakeholders and plan engagements accordingly. Have the ability and … experience to employ various tools and techniques to complete engagements; including, but not exclusively, focus interviews, surveys, statisticalanalysis, work study, process analysis and re-design, Lean/Six Sigma techniques, Agile/Scrum methodologies, system analysis, data flow analysis. Assess risk, impact, and dependencies on … communicate accordingly. Produce, or assist stakeholders in the production of required documentation including, but not exclusive to; use cases/stories, requirements documents, gap analysis, process/data flows, project reports and lessons learned reviews. Manage changes to requirements through effective use of change control processes. Work with internal More ❯
team collaborating with product and engineering teams to further develop an understanding of needs. Your primary role will be to research and devise innovative statistical models for data analysis enabling smarter business processes by using analytics for meaningful insights. While mining, interpreting, and cleaning our data, this person … Essential; c. 5-7 years experience within Data Science ideally with experience as an Data Scientist or similar Proficiency with data mining, mathematics, and statisticalanalysis Advanced experience in pattern recognition and predictive modeling Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS More ❯
ideal as you need to understand how they operate and what kind of models need to be produced Proficiency in data mining, mathematics, and statisticalanalysis Able to articulate key messages and analysis outcomes clearly and concisely with a Pragmatic and analytical mind A strong academic record … with a good honours degree or equivalent qualification in a numerical subject Extensive experience of completing complex data analysis and create proposals/provide recommendations on the back of analysis Any experience with Credit risk, risk assessment, Python, Machine Learning, SPSS, SAS, statistical or MI packages would … and ongoing maintenance of all financial modelling and forecasting to enhance decision making, deliver more targeted acquisition and ultimately deliver profitable growth. Undertake specialised analysis to model historical data and provide forecasts based on various industry-related metrics for a range of different propositions. Conduct scenario analysis based More ❯
Somerset, England, United Kingdom Hybrid / WFH Options
Talent
random forests), unsupervised (e.g. clustering), and deep learning. Knowledge of generative AI is desirable. Expert level of knowledge of statistics, applied mathematics and scientific analysis, with demonstrable experience of using a variety of techniques to deliver organisational benefits Expert level knowledge of exploratory data analysis and statisticalanalysis of large datasets. Practitioner knowledge of Machine Learning Ops and A/B testing different models Practitioner knowledge of responsible and ethical AI practices Practitioner skills in a scientific programming language such as Python, R, C++. Experience of innovating and solving business problems through the application of More ❯
across equity markets, products, structuring, and data analytics to help facilitate equity-based transactions and identify market opportunities. The team performs quantitative and other analysis, working with tools, models and financial markets data and collaborates with Sales, Trading, Technology and other areas of the firm, and with clients. YOUR … will apply a variety of technical and professional skills to analyze equity markets and client portfolios and turn research into commercial impact. Combining fundamental analysis, data analysis, macro research and factor models, you will provide insight to assess portfolio inefficiencies and market opportunities. You should have an interest … in Equity Macro, using rigorous statisticalanalysis on financial market data, and communicate results in a clear and actionable way. Clients, as well as Sales and Trading, will use your analysis to inform their views of the market and what is driving it. BASIC QUALIFICATIONS Strong academic More ❯
analyses, dashboards, etc. to drive key business decisions. Ensure data accuracy by validating data for new and existing tools. Apply data mining and quantitative analysis to understand ways to improve our content selection for customers Perform both ad-hoc and strategic data analyses Build various data visualizations to tell … the story and let the data speak for itself Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Build automation to reduce dependencies on manual data pulls etc. BASIC QUALIFICATIONS 3+ years of analyzing and 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 StatisticalAnalysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience More ❯
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 statisticalanalysis, co-relation analysis Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected More ❯
Hull/Grimsby/Scunthorpe, United Kingdom Hybrid / WFH Options
Northern Lincolnshire and Goole NHS Foundation Trust
architecture, ensuring scalability and alignment with strategic objectives. The role will lead the collaboration with Business Intelligence and IT teams to enhance real-time analysis, accurate forecasting, and the management of resources. The postholder will lead the development of and refinement of machine learning capabilities and apply these to … administrative processes, ensuring these models improve efficiency, optimise outcomes, and support transparent, evidence-based decisions. The postholder will lead the development and application of statisticalanalysis, applying this to locally generated datasets/sources to enhance decision making and support clinical and business objectives, including outcome measurement, trend … analysis, and policy development. The post holder will provide expertise and support to drive planning efforts, contributing and guiding the development of frameworks that align operational plans with organisational goals, ensuring effective short- and long-term strategic planning. About us The Humber Health Partnership is one of the largest More ❯
Due to increased customer demand from our key clients, Jumar is expanding their Business Analysis capability, and we are looking to hire an accomplished, MI/Data Business Analyst on a 6 month FTC (Fixed Term Contract) to join our thriving, Midlands based BA team in May 2025. This … we are looking for someone who has come from a development background with strong SQL. Ideal Experience: Strong Business Analyst with experience in data analysis/business intelligence Experience working on MI workstreams/projects Strong SQL Proficient in data visualization tools (e.g., Tableau, Power BI) and statisticalanalysis software (e.g., SQL, R, Python) Strong analytical and problem-solving skills with a keen attention to detail Excellent communication and interpersonal skills, with the ability to present complex information clearly to non-technical audiences Experience with data modelling and database design is a plus Ability to work More ❯
into compelling storytelling and actionable recommendations. Expertise in interrogating data using SQL and writing custom SQL queries, and understanding of database structures. Understanding of statisticalanalysis techniques used for experimental design such as regression analysis, hypothesis testing, multivariate analysis, and time series analysis. Excellent verbal and More ❯
into compelling storytelling and actionable recommendations. Expertise in interrogating data using SQL and writing custom SQL queries, and understanding of database structures. Understanding of statisticalanalysis techniques used for experimental design such as regression analysis, hypothesis testing, multivariate analysis, and time series analysis. Excellent verbal and More ❯
into compelling storytelling and actionable recommendations. Expertise in interrogating data using SQL and writing custom SQL queries, and understanding of database structures. Understanding of statisticalanalysis techniques used for experimental design such as regression analysis, hypothesis testing, multivariate analysis, and time series analysis. Excellent verbal and More ❯
Data Analyst to join their growing team. This is an exciting opportunity to play a key role in driving business decisions through insightful data analysis within a dynamic and fast-paced environment. Our client is a successful online retailer with ambitious growth plans. They pride themselves on their customer … and translate them into data-driven solutions. Key Responsibilities: Gathering and cleaning data from various sources, ensuring data integrity and accuracy. Performing exploratory data analysis to identify trends, patterns, and anomalies. Developing and maintaining regular and ad-hoc reports and dashboards using data visualisation tools (e.g., Tableau, Power BI … . Conducting in-depth analysis on customer behaviour, website performance, marketing campaigns, and sales data. Providing actionable insights and recommendations to stakeholders to improve business outcomes. Collaborating with different teams to understand their data requirements and provide relevant analysis. Contributing to the development and improvement of data collection and More ❯
london, south east england, United Kingdom Hybrid / WFH Options
The Candidate Recruitment Agency
Data Analyst to join their growing team. This is an exciting opportunity to play a key role in driving business decisions through insightful data analysis within a dynamic and fast-paced environment. Our client is a successful online retailer with ambitious growth plans. They pride themselves on their customer … and translate them into data-driven solutions. Key Responsibilities: Gathering and cleaning data from various sources, ensuring data integrity and accuracy. Performing exploratory data analysis to identify trends, patterns, and anomalies. Developing and maintaining regular and ad-hoc reports and dashboards using data visualisation tools (e.g., Tableau, Power BI … . Conducting in-depth analysis on customer behaviour, website performance, marketing campaigns, and sales data. Providing actionable insights and recommendations to stakeholders to improve business outcomes. Collaborating with different teams to understand their data requirements and provide relevant analysis. Contributing to the development and improvement of data collection and More ❯
supporting transformative change programs. Role Overview The Senior Data Analyst will be a critical member of the leadership team, providing expert-level insights and analysis across supply chain planning, performance tracking, and continuous improvement initiatives. The ideal candidate will combine technical proficiency with business acumen to uncover opportunities, optimise … operations, and enhance data quality and reporting. This is a predominantly office-based role, with occasional travel to operational sites. Key Responsibilities Data Analysis & Insights Collect, analyse, and interpret complex datasets to identify trends, risks, and opportunities. Deliver actionable insights to enhance business processes, performance, and decision-making. Investigate … Power BI. Skilled in Python for data simulation and optimisation modelling. Strong knowledge of data warehousing, analytics platforms, and IT systems integration. Expertise in statisticalanalysis and data modelling techniques. Excellent communication and storytelling skills with the ability to translate complex data into business language. Proven stakeholder management More ❯
optical specifications and quality standards. Establish testing protocols for various stages of development. Implement process control techniques to ensure production consistency. Collect and perform statisticalanalysis on metrology data to identify trends, variances, and correlations to performance metrics. Analyze measurement data and correlate results to key performance indicators … for performance enhancement. Propose and implement improvements in metrology techniques and testing procedures. Create and maintain detailed technical documentation, including test plans, procedures, data analysis reports, and process control records. Minimum Qualifications: Bachelor's or Master's degree in Optical Engineering, Physics, Electrical Engineering, or a related Engineering field. … 3+ years of hands-on experience in optical testing, with a focus on waveguides or similar optical components. Proficiency in statistical data analysis using JMP or Minitab. Familiarity with process control, quality control, and acceptance testing in a high-volume manufacturing environment. Excellent troubleshooting skills with the ability More ❯
to track key performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders … based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statisticalanalysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker … of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Package Description Our benefits package increases the longer you've been with us. Here's what to expect More ❯
Newcastle Upon Tyne, Tyne And Wear, United Kingdom Hybrid / WFH Options
LeoVegas Group
customer behavior, and business performance across multiple regions. You will take ownership of key analytical projects, mentor junior analysts, and drive innovation in data analysis and decision-making. YOU WILL BE RESPONSIBLE FOR: Acting as a trusted analytical partner to senior stakeholders, providing deep insights into market trends, customer … Data Engineering to develop, maintain, and improve advanced dashboards and reports that track key business metrics and deliver timely insights. Driving innovation in data analysis, proactively identifying new methodologies and best practices to enhance business intelligence capabilities. Analyse customer acquisition, retention, and engagement strategies, offering recommendations for optimising market … practices. OUR SUCCESSFUL CANDIDATE WILL HAVE THE FOLLOWING: ESSENTIAL SKILLS E xperience in a Senior Analyst role, with demonstrated expertise in handling complex data analysis and strategic projects. Broad analytics experience operating across more than one functional area. People/project leadership taking ownership of complex analytics projects end More ❯
promise capabilities. You will collaborate with Supply Chain and Delivery Experience teams to optimize network speed and enhance customer experience. The role involves data analysis, statistics, machine learning, and usage of AWS services. We are looking for someone who thrives in a fast-paced environment, demonstrates strong project management … Your ability to understand complex business problems and translate them into analytical solutions will be crucial for success in this role. We conduct new analysis from ground up, proposing new concepts and technology to meet business needs, and need BIEs who enjoy and excel at diving into data to … improvements over time. You will also work closely with internal business teams to extract or mine information from our existing systems to create new analysis, and expose data from our group to wider teams in intuitive ways. As a BIE embedded in the business team you have the opportunity More ❯
reports, and visualisations to communicate findings effectively to stakeholders. Work closely with marketing, product, and customer success teams to provide data-driven recommendations. Utilize statistical techniques and predictive modelling to improve customer engagement and lifetime value. Extract, clean, and analyse large datasets from multiple sources (CRM, subscription platforms, Google … querying and manipulation. Experience with data visualisation tools such as Tableau, Power BI, or Looker. Strong knowledge of Excel and Google Sheets. Familiarity with statisticalanalysis and predictive modelling techniques. Understanding of customer lifecycle metrics and churn analysis. Excellent problem-solving skills and attention to detail. Strong communication More ❯
IDQ & Marketing Shape the future of online shopping through data-driven insights! Join our EU Hardlines analytics team where you'll combine Customer Experience analysis with Item Data Quality innovation to improve how millions discover and shop for products. We're expanding our analytics charter into exciting new territory … class tools to build automation solutions that transform how teams work, while collaborating with product teams across Europe to turn insights into action. Your analysis and recommendations will influence strategic decisions and drive real improvements to the shopping experience. If you're passionate about turning complex data into clear … time visibility into CX & IDQ performance, enabling data-driven decisions across EU markets. Partner with cross-functional teams to identify improvement opportunities through data analysis and experimentation. Drive improvements in product data quality by identifying gaps through automated monitoring and analytical deep dives. Present complex analytical findings to senior More ❯