1 to 25 of 473 Statistical Analysis Jobs in England

all over the world. In this role, you’ll getto: Spearhead the development, execution, and optimization strategy for growing Agoda's new & emerging marketing channels Conduct end-to-end analysis of large, complex datasets related to channel performance, user behavior, and market trends, translating raw data into actionable insights Develop hypotheses, design experiments (e.g., A/B tests), and … levels of stakeholders (including Senior Management) with proven strong commercial acumen It’s great if you have: Experience in digital or social media marketing Experience in hypothesis testing frameworks, statistical analysis, and using Python/R for data manipulation and analysis. #STRA#ANLS#MRKT#3#LI-TR2 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia … #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server More ❯

A) team for buildout into full financial insights platforms. As a Financial Analyst, you will generate insights that will guide operational excellence and business strategy for our customers. Data analysis is at the core Amazon’s culture, and your work will have a direct impact on decision-making and strategy for our organization. You will be gathering operational insights … run statistical analysis, mining data, making recommendations, and helping senior leaders make key business decisions. You will have the opportunity to work with large and diverse data sets to gather insights using data from across AWS Infrastructure. The ideal candidates will have excellent analytical and statistical abilities as well as business acumen and judgment, high curiosity, strong … to join a growing analytics team within Amazon, this role is for you. Are you up for the challenge? #Letsdothis Responsibilities: Design and develop scalable, automated, user-friendly systems, statistical analysis and prediction, reports, etc. that will support the needs of the business. Apply deep analytic to extract meaningful insights and learning from large and complicated data sets. More ❯

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 ❯

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 ❯

assurance on imported data, working closely with quality assurance teams as necessary. Troubleshoot and resolve issues within the reporting database environment. Produce detailed reports from various data sources for analysis and informed decision-making. Initiate and terminate data sets based on project needs. Review changes and updates to source production systems to maintain data accuracy. Handle sensitive information following … storage structures, data mining, and data cleansing methodologies. Requirements Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field. 1-2 years of experience in data analysis or a similar role. Proficiency in SQL for data extraction and manipulation. Familiarity with data visualization tools such as Tableau or Power BI. Basic knowledge of programming languages like … solving skills. Excellent attention to detail and accuracy in data handling. Good communication skills for presenting findings to stakeholders. Ability to work collaboratively in a team environment. Familiarity with statistical analysis and data modeling. Experience with CRM or ERP systems is a plus. Knowledge of data protection regulations like GDPR is a plus. What We Offer Competitive salary More ❯

requires strong analytical skills, an aptitude for data and insights translation and the ability to work across different functional stakeholders. The ideal candidate will have experience in data visualization, statistical analysis and problem-solving, coupled with the ability to communicate findings to stakeholders in a clear and actionable way. The role will engage with key stakeholders across sales … one will lead Corporate & Specialty and one will lead Enabling Functions. Key Responsibilities Analytics and Insight Generation Gather, clean, and organize large and complex datasets from various sources. Perform analysis to identify patterns, correlations, and trends within datasets. Translate insights to actionable recommendations aligned with business objectives. Design business intelligence and analytics tools to track business performance across marketing … experience in analytical and decision support roles providing insights to senior commercial decision-makers. Relevant areas include Commercial Analytics, Business Intelligence, Field Force Effectiveness and/or Financial Planning & Analysis Demonstrated experience in identifying commercial priorities and then architecting, building and deploying business analytics and intelligence platforms (Tableau, PowerBI, etc. )to create business value, preferably in sales and marketing More ❯

provide valuable insights and support data-driven decision-making within the client organization. Work closely with cross-functional teams, including business stakeholders and IT professionals. Expertise in data manipulation, statistical analysis, data visualization, and problem-solving will be crucial in uncovering patterns, trends, and opportunities that drive business growth. RESPONSIBILITIES Data Collection and Cleaning: Gather, extract, and organize … data from various sources, ensuring its accuracy and completeness. Clean and preprocess data to prepare it for analysis. Data Analysis: Perform exploratory data analysis, apply statistical techniques, and use data mining methods to identify patterns, trends, and insights from complex data sets. Data Visualization: Create clear and compelling data visualizations, such as charts, graphs, and dashboards, to … effectively communicate insights to stakeholders and facilitate understanding. Data Modeling and Forecasting: Develop and implement statistical models and forecasting techniques to predict future trends and support business planning and decision-making. Report Generation: Prepare and deliver reports and presentations summarizing analytical findings and recommendations to stakeholders at various levels of the organization. Data Quality and Validation: Ensure the accuracy More ❯

may be available for exceptional candidates. The ideal candidate will have a minimum of 5 years' experience in data science or a related field, with extensive knowledge of advanced statistical analysis and machine learning algorithms. Proficiency in Python, R, and SQL is essential. As a Senior Data Scientist, you will play a key role in developing data solutions … valuable insights from complex datasets, develop advanced machine learning models, and drive data-driven decision-making across the organisation. Main Duties Design and implement sophisticated machine learning algorithms and statistical models to solve complex business problems Collaborate with cross-functional teams to identify opportunities for data-driven solutions and improvements Develop and maintain scalable data pipelines for efficient data … processing and analysis Create compelling data visualisations and reports to communicate findings to both technical and non-technical stakeholders Mentor junior data scientists and contribute to the overall growth of the data science team Stay abreast of the latest advancements in data science and machine learning, incorporating new techniques and technologies as appropriate Contribute to the development of best More ❯

Data Science & Predictive Analytics Build and refine predictive models to forecast freight rates, supply-demand dynamics, and market conditions, with a focus on enabling sustainable shipping decisions. Apply advanced statistical techniques and machine learning to extract high-quality insights from large datasets. Collaborate with the Data Engineering team to establish seamless, efficient data pipelines that ensure data reliability and … the forefront of the maritime SaaS space. Skills and experience Education Master’s or Ph.D. in Data Science, Maritime Studies, Economics, Finance, or a related field. Experience Experience data analysis, market research, or maritime analytics. Expertise in maritime trading, supply-demand analysis, FFAs, forward curves, and derivatives. Technical Skills Proficiency in Python and SQL for data manipulation and … and utilizing big data technologies (e.g., Azure, Databricks, Spark) Familiarity with data visualization tools such as Power BI, or matplotlib Strong knowledge of predictive modeling, machine learning techniques, and statistical analysis. Soft Skills Analytical mindset with a passion for uncovering actionable insights from complex datasets. Excellent communication and presentation skills to translate technical findings into business value. Self-driven 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 ❯

ensure that the systems and processes in place are scalable and adaptable as the company grows. Additionally, you’ll play a critical role in cross-functional projects, providing robust analysis that supports initiatives like diversity efforts, talent acquisition, and employee development. Whether you're delivering insights on attrition or presenting data on team performance, your work will help inform … with the ability to translate data into actionable insights. Experience working with HR metrics and understanding of HR processes. High level of accuracy and attention to detail in data analysis and reporting. Excellent communication skills with the ability to present complex data in a clear and concise manner to non-technical stakeholders. Advanced proficiency in Excel/Google Sheets. … Nice to Have: Experience with Python or R for data analysis. Previous experience working with HRIS platforms (e.g., Workday, BambooHR). Understanding of statistical analysis techniques. This is an AX2 position as described in our public skills framework . What do you get for all your hard work? A competitive compensation package (base + equity) with bi-annual More ❯

into delivery teams. You will provide advanced data modelling, predictive analytics, and data visualisation, allowing us to deliver more sophisticated and customised solutions to our clients. Key responsibilities Data analysis and reporting: Conducting in-depth data analysis, generating reports, and providing actionable insights for client projects. Data and BI visualisation: Producing BI dashboards using industry-standard tools - Power … clear, actionable manner. Mentoring and/or line managing: Junior analysts, leading data-focused projects, and setting best practices in data analysis. Skills, knowledge and expertise Technical skills: Data Analysis & Insight Generation: Strong analytical skills, including statistical analysis, data mining, and qualitative research, with the ability to synthesise data into actionable insights. Data Management & Governance: Knowledge of … ability to create clear, accessible, and engaging data presentations. Quality Assurance & Validation: Experience in ensuring data accuracy through validation, cleansing, linkage, and peer review, while effectively communicating data limitations. Statistical & Analytical Techniques: Knowledge of key statistical methods (e.g., regression, clustering, hypothesis testing) and ability to apply emerging analytical approaches to solve business challenges. Business & Communication Skills: Stakeholder Engagement More ❯

into delivery teams. You will provide advanced data modelling, predictive analytics, and data visualisation, allowing us to deliver more sophisticated and customised solutions to our clients. Key responsibilities Data analysis and reporting: Conducting in-depth data analysis, generating reports, and providing actionable insights for client projects. Data and BI visualisation: Producing BI dashboards using industry-standard tools - Power … clear, actionable manner. Mentoring and/or line managing: Junior analysts, leading data-focused projects, and setting best practices in data analysis. Skills, knowledge and expertise Technical skills: Data Analysis & Insight Generation: Strong analytical skills, including statistical analysis, data mining, and qualitative research, with the ability to synthesise data into actionable insights. Data Management & Governance: Knowledge of … ability to create clear, accessible, and engaging data presentations. Quality Assurance & Validation: Experience in ensuring data accuracy through validation, cleansing, linkage, and peer review, while effectively communicating data limitations. Statistical & Analytical Techniques: Knowledge of key statistical methods (e.g., regression, clustering, hypothesis testing) and ability to apply emerging analytical approaches to solve business challenges. Business & Communication Skills: Stakeholder Engagement 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 ❯

will define and maintain reports 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 across the business. Develop, improve … analytics, preferably in a subscription-based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills … to non-technical audiences. Knowledge 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: 25 days’ holiday (increasing by More ❯

quality analytics and insights to support strategic initiatives and operational performance Develop and maintain dashboards, reports and visualisations to communicate key trends and findings Conduct predictive modelling and scenario analysis to inform long-term business planning Act as a trusted data partner for business leaders, translating data into actionable recommendations Champion data integrity, governance and compliance, ensuring the highest … new methodologies and technologies What we'd like to see from you: Proficiency in SQL, advanced Excel, and data visualisation tools like Power BI or Tableau. Strong experience in statistical analysis and programming using tools like Python or R for advanced data manipulation, automation, and analysis. Exceptional ability to identify trends, provide actionable insights, and contribute to strategic … days ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 6 days ago London, England, United Kingdom 5 months ago Data Analyst - Advanced SQL - Data Analysis and Customer Insight London, England, United Kingdom 2 days ago Greater London, England, United Kingdom 3 weeks ago We’re unlocking community knowledge in a new way. Experts add insights More ❯

maintenance of ongoing metrics, reports, 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. - 2+ years of analyzing and interpreting data with Redshift, Oracle, 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 languages (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 and correlation analysis Our inclusive culture empowers Amazonians to More ❯

first interaction through to active engagement. Support growth goals by providing data-driven insights to improve customer acquisition and early retention. Conduct experimentation and A/B testing, ensuring statistical robustness and deriving insights to drive product improvements. Apply hypothesis testing methodologies to validate product changes and marketing strategies. Collaborate with cross-functional teams, including Marketing, Product, and UX … to optimize acquisition and conversion strategies. Develop and maintain dashboards and reporting tools to track KPIs and acquisition performance. Leverage advanced analytics techniques (e.g., regression analysis, segmentation, cohort analysis) to enhance understanding of user behavior. Collaborate with performance marketing and CRM to maximise LTVs. What We're Looking For Bachelor’s degree in Mathematics, Data Science, Statistics, Marketing … Business Analytics, Economics or a related field. 4+ years of experience in product analytics, data analysis, or a related field. Expert knowledge in SQL. Experience with data visualization tools such as Tableau, ThoughtSpot, or Power BI. Expert knowledge of Statistical analysis and A/B methodologies. Strong problem-solving skills and ability to communicate insights effectively. What 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 ❯

a mission-driven Data Scientist to join our team supporting high-impact initiatives in the Defence and National Security sector. You will apply advanced analytical techniques, machine learning, and statistical modelling to solve complex operational challenges. Working within a secure, multidisciplinary environment, you'll help deliver data-driven insights to support decision-making, threat detection, intelligence analysis, and … national defence strategies. Key Responsibilities Develop and deploy data models, machine learning algorithms, and statistical analyses to support defence and national security operations. Work with structured and unstructured data from diverse sources such as sensors, ISR feeds, satellite imagery, communications, cyber threat logs, and intelligence reports. Collaborate with domain experts, analysts, and engineers to understand mission needs and translate … Active EDV/UK*C security clearance. Proficient in Python and/or R, with experience using data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong statistical, mathematical, and data modelling skills. Experience with data visualisation tools (e.g., Power BI, Tableau, matplotlib, Plotly). Familiarity with big data tools and cloud platforms (e.g., Hadoop, Spark, Azure More ❯

transitioning to the project team responsible for delivering the technological aspects of our transformation initiatives. Key Responsibilities: Data Synchronisation and Management: Assist in the synchronisation, management of tools, and analysis of data for reporting purposes. AI Integration: Leverage AI to streamline and automate processes, enhancing efficiency and accuracy. Data Analysis: Conduct data pre-processing, statistical analysis … applied to the apprentice’s role and maximises the time used as part of off-the-job training. Microsoft Office Specialist: Excel Associate. Data and Visualisation using SAS Data Analysis and Statistics SQL and Data Modelling Exploring Data Science using Python and R Data Challenge workshop Online development sessions (Optional). An apprenticeship has to be relevant to the More ❯

the audience. Articulating your views and honest perspectives through active listening and engaged participation. Technical Leadership & Project Delivery Leading technical project delivery by designing solutions, writing code, and conducting analysis using Agile principles. Using data and operational management techniques to improve operational performance. Providing technical oversight to data scientists, identifying opportunities to use data to derive insights and shape … will be able to demonstrate proven experience in any combination of the following skills, with a priority on the technical areas listed below: Technical Capabilities Strong data manipulation and analysis skills. Programming using Python and SQL (additional languages are a benefit). Dashboarding using Tableau and/or Power BI and data visualisation using common data science packages (Matplotlib … seaborn, etc.) Understanding of version control (preferably through Git). Experience in contributing to and improving technical playbooks. Solid knowledge of statistical methods and concepts. Management Capabilities Management consulting expertise, including methodologies, frameworks, tools, and approaches to solve business problems. Experience in Business Analytics, using data and statistical analysis to derive insights and make informed decisions. Experience 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 ❯

company's reputation and brand globally, and developing data-driven strategies for reputation management. Key Responsibilities Oversee global reputation studies and qualitative research programs. Manage social listening and sentiment analysis across digital and traditional media platforms. Evaluate brand measurement and ROI from advertising and sponsorships. Develop KPIs and track performance metrics. Coordinate with internal teams to assess impacts of … communications activities. Manage the central repository of reputation and brand data. Handle contracting and invoicing with agencies. Conduct statistical analyses on datasets for driver analysis. Design surveys and data sourcing strategies ensuring statistical relevance and cost efficiency. Qualifications Master’s degree in Computer Science, Data Science, or related field. Minimum 15 years of experience in data science or … analytics. Strong communication and presentation skills. Extensive experience in research, data analysis, visualization, machine learning, and statistical modeling. Proficiency with tools like SPSS, Power BI, Tableau, Pulsar, and audience intelligence software. Proficiency in Python, R, and SQL. Work Environment We offer challenging projects, competitive remuneration, and extensive talent development programs to support career growth in a global energy More ❯