1 to 25 of 68 Statistical Analysis Jobs

potential policy changes The LTEC programme is a strategically important, research initiative designed to address critical evidence gaps long-term, systematic data collection and analysis across 37 sites in England. The programme's success depends not only on data collection, but on robust statistical design and analysis … monitoring design, a key 2026/27 priority, ensuring that future data collection is efficient, targeted, and statistically robust. skills & requirements Key Tasks * Provide statistical leadership for the LTEC programme, undertaking complex statistical analysis to help meet its primary objectives. * Unlock the value of long-term datasets ...

Opportunity: Statistical Programmer 6 Months (possible extension) Redwood City, CA (Hybrid) This position will be responsible for statistical programming and verification of Clinical Trial Data to produce high quality deliverables in a fast-paced environment. This person needs to consistently meet study timelines, quality standards and requirements … work closely and communicate effectively with internal team members, Statisticians, and other functional group members to best serve the deliverable need. In this position, Statistical Programmer is expected to: Provide Statistical Programming support either in the form of production or verification of SAS scripts and outputs for Analysis ...

professional with strong analytical skills and the ability to work collaboratively with cross-functional teams. The ideal candidate will have experience in data visualization, statistical analysis, and data management. Responsibilities: Analyze large datasets to identify trends, patterns, and insights that drive business decisions. Develop and maintain dashboards … them into data-driven solutions. Ensure data accuracy and integrity by performing regular data validation and quality checks. Provide actionable recommendations based on data analysis to improve business performance. Stay updated on industry trends and best practices in data analytics and visualization. Qualifications: Bachelor's degree in Data Science ...

data and data science. We address a broad spectrum of reliability problems where data-driven approaches can be applied, combining subject matter expertise with statistical, predictive, and generative AI/ML methods to improve reliability in ways that truly matter to our client's users and customers. In this … role, you will design statistical and machine learning tools, influencing engineering priorities and roadmaps in key areas like software rollouts and change management. You will have a direct impact on our Platform reliability, gaining deep knowledge of relevant engineering infrastructure and data assets to solve complex issues. Behind everything ...

generation through to evidence-based recommendations. Evaluate diverse structured and unstructured datasets to identify commercial opportunities. Establish and maintain high standards for data evaluation, statistical analysis, and technical excellence. Improve processes to increase the speed and accuracy of data source assessments. Partner with data acquisition teams to support … automation to enhance research quality and efficiency. Your Skills & Experience Strong commercial experience leading data science, data research, analytics, or statistical research teams. Deep expertise in statistical analysis, data modelling, and working with complex real-world datasets. Advanced Python and SQL skills with the ability to review ...

will help ensure compliance with industry regulations while driving excellence in quality monitoring and reporting. Key Responsibilities Lead monthly product quality monitoring activities, utilising statistical analysis and trending methodologies to identify emerging quality signals and product performance concerns. Develop, maintain, and enhance Power BI dashboards and reporting tools … support quality monitoring and business decision-making. Conduct detailed complaint investigations, trend analysis, and ad hoc data reviews to support product improvement and risk mitigation programmes. Support post-market surveillance activities, including trending analysis, product monitoring, risk reviews, and safety reporting requirements. Ensure compliance with quality management systems ...

data into actionable insights that support strategic and operational decision-making. This role involves working with large datasets, building reports and dashboards, performing advanced analysis, and collaborating with business and technical stakeholders to define data requirements and deliver high-quality analytical solutions. The ideal candidate will have strong analytical … ensure data accuracy and reliability. Develop, maintain, and enhance reports, dashboards, and visualizations to support business performance tracking and decision-making. Perform advanced data analysis, including trend analysis, segmentation, forecasting, and root cause analysis to identify patterns and insights. Collaborate with business stakeholders to understand requirements, define ...

sources. Assess the quality, reliability, and commercial value of datasets to determine whether they are worth purchasing and integrating into products. Design and oversee statistical analysis, modelling, and time series research to validate potential data assets. Work closely with stakeholders across data, partnerships, and technology teams to develop … efficiency and quality. Your Skills & Experience Strong commercial experience in data science, statistics, quantitative research, or a related field. Python skills, with experience applying statistical analysis and time series techniques to complex datasets. Strong understanding of data quality assessment, feature engineering, and modelling. Strong communication skills with ...

diverse range of research projects. The Data Scientist I works collaboratively with statisticians, researchers, methodologists, software developers, and subject matter experts to develop statistical, data science, and computational solutions that improve research, operational efficiency, and decision-making. This role combines strong foundations in data management, statistical modeling, machine … structured and unstructured data, survey data, administrative records, commercial data, text data, and other novel data sources. Responsibilities may include developing analytical workflows, building statistical and machine learning models, creating data products and applications, and evaluating AI approaches for research and operational use. The ideal candidate possesses strong Python ...

subscription analytics. Advanced SQL skills with experience working in cloud-based data warehouse environments. Experience creating data models and transforming raw event data into analysis-ready datasets. Strong dashboarding and reporting experience using BI tools such as Looker Studio or similar platforms. Knowledge of statistical analysis techniques … including cohort analysis, experimentation, regression, survival analysis, and predictive modelling. Experience developing LTV, retention, or churn analysis frameworks. Excellent problem-solving skills and attention to detail. Ability to communicate complex insights and influence stakeholders across multiple business functions. Experience with Python or R would be beneficial. Exposure ...

Senior Business Intelligence Analyst with strong analytical and technical skills to help improve our digital, marketing, engagement and fundraising activity. Youll use advanced analysis, predictive techniques and data visualisation to uncover audience insight, optimise content and channels, and turn complex data into clear, practical recommendations. Working closely with colleagues … projects, develop reports and dashboards, and help build confidence in data-led decision-making across the organisation. What youll be doing Conducting in-depth analysis to understand audience behaviour, campaign, channel and content performance, and engagement trends Applying advanced analytical techniques, including propensity modelling, predictive analytics and segmentation ...

excellent opportunity for a mid-level Data Scientist who enjoys solving real-world business problems and wants the opportunity to work across machine learning, statistical analysis and data-driven decision-making. Key Responsibilities Develop and deploy machine learning and statistical models to solve business problems. Analyse large … complex datasets to identify trends, patterns and opportunities. Use Python and SQL to extract, manipulate and analyse data. Perform exploratory data analysis and feature engineering. Build predictive models and evaluate their performance. Work closely with Data Engineers to ensure reliable and scalable data pipelines. Translate technical findings into clear ...

make a significant difference within a well-established and rapidly growing organisation. Your day to day will consist of...... Proactively and collaboratively develop Analysis and Insight Statistical analysis and modelling Report making to help deliver optimal management decisions Identify, quantify and prioritise opportunities to enhance operational efficiency … world-class operation to drive continuous improvement. Apply analytical and technical ability to ensure the team delivers the highest standards of analysis and reporting to key stake holders What we want from you...... Minimum 2:1 within a numeric based degree i.e. Maths, Economics, Physics etc. Proficient ...

related quantitative field (or progress toward them) preferred but not essential depending on work-related experience (essential). 3-5 years in financial analysis, management accounting, business analysis, or commercial finance role, ideally within a service organisation (essential). Demonstrated track record of delivering impactful insights that influenced … Tableau, or similar) (essential). SQL or database query skills desirable. Understanding of financial statements, management accounting principles, and cost analysis.(essential). Statistical analysis and forecasting techniques (essential). Experience with Corrigo desirable. Strong problem-solving abilities with attention to detail, accuracy, and ability to synthesize complex ...

process more than 1.5 million bets per hour at peak. Job Description As a Data Scientist, you will develop machine learning solutions and perform statistical analysis to inform strategic, data-driven business decisions and initiatives. Our Data Analytics team monitors, analyses, and optimises key performance indicators across … systems, and big data technologies. Additional Information Sourcing, cleaning, and validating diverse datasets from various internal and external sources. Conducting in-depth exploratory data analysis to uncover hidden patterns, identify trends, and generate actionable insights that inform strategic business decisions. Developing and deploying robust statistical and machine learning ...

process more than 1.5 million bets per hour at peak. Job Description As a Data Scientist, you will develop machine learning solutions and perform statistical analysis to inform strategic, data-driven business decisions and initiatives. Our Data Analytics team monitors, analyses, and optimises key performance indicators across … systems, and big data technologies. Additional Information Sourcing, cleaning, and validating diverse datasets from various internal and external sources. Conducting in-depth exploratory data analysis to uncover hidden patterns, identify trends, and generate actionable insights that inform strategic business decisions. Developing and deploying robust statistical and machine learning ...

Extracts knowledge and insights from high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, which may include statistical analysis, predictive modeling and pattern recognition. Role The Role: Support the delivery … data analysis, reporting and business insight activities across the Insights & Workflow team, ensuring outputs are accurate, timely and aligned to business requirements. Work with large datasets to extract, clean, transform and validate information for use in operational reporting, workflow management and decision-making. Assist with the creation, maintenance ...

quite flexible as a team and meet in person as needed for meetings and team collaboration. We are passionate about delivering high-quality analysis and insight, using data and evidence to support decision-making, reduce health inequalities and improve the health and wellbeing of Surrey's residents. Our Offer … order to be considered for shortlisting, your application will clearly evidence the following skills, experience and align with our behaviours: Experience of using statistical and epidemiological methods for analysing data sets Experience of working with multiple sets of health-related data Experience of using analytics as evidence within assessments ...

quality standards, governance practices, and reporting best practices. Partner with leadership teams to define key performance indicators (KPIs) and operational metrics. Support root cause analysis activities by combining telemetry, operational, and business data sources. Contribute to continuous improvement initiatives by identifying automation opportunities and reducing manual reporting processes. Document … Data Lake, or related cloud data technologies. Experience creating executive dashboards and operational reporting solutions. Knowledge of machine learning, anomaly detection, predictive analytics, or statistical analysis techniques. Experience working with large-scale telemetry, operational, or IoT datasets. Familiarity with DevOps practices, CI/CD pipelines, and GitHub Actions. ...

technology and data analytics business, is looking for a Senior Quantitative Specialist to join its research and development team. This role focuses on developing statistical football models, analysing complex datasets, and building automated betting and performance analysis solutions. Key Responsibilities Develop and enhance football modelling and statistical analysis systems Acquire, clean, and process data from multiple sources Analyse trends and patterns within complex datasets Build automation and data processing tools Support back-testing, simulations, and performance analysis Identify opportunities for process and model improvements Collaborate closely with data scientists and software engineers Requirements Commercial ...

accurate, reliable and ready for analysis. Exploring data to identify patterns, trends, outliers and opportunities that can support stronger commercial and operational decisions. Applying statistical and machine learning techniques to build predictive and prescriptive models, test hypotheses and solve real business problems. Using Python, PySpark and SQL to analyse … understand business needs and translate them into data-led solutions. Presenting actionable insights and recommendations to technical and non-technical stakeholders, helping teams turn analysis into commercial value. Exploring cutting-edge AI methodologies responsibly and identifying opportunities to improve processes, products and decision-making. Contributing to timely project delivery ...

recommend solutions. Collecting, preparing, cleansing, and analysing data from multiple sources. Building skills in: Data Science and Analytics Machine Learning and Artificial Intelligence Statistical Analysis Data Engineering Fundamentals Data Visualisation and Storytelling Programming and Automation (e.g. Python, SQL) Supporting the development and testing of predictive models and analytical … improvement of analytical solutions. What You Will Learn Throughout the apprenticeship, you will gain experience and knowledge in: Data collection, preparation, and management techniques. Statistical methods and hypothesis testing. Programming languages such as Python and SQL. Machine learning concepts and model development. Data visualisation and storytelling techniques. Exploratory ...

insights that influence strategy and drive measurable outcomes. Key responsibilities include: Leading advanced analytics and data science projects from concept through to delivery. Applying statistical modelling and analytical techniques to identify trends, drivers and opportunities. Developing prototypes, use cases and analytical frameworks to solve business challenges. Transforming complex datasets … Analytics Management roles. Excellent Python skills (essential). Experience with R and/or SAS is desirable but not mandatory. Strong understanding of statistical analysis, modelling and data-driven decision making. Experience within the pharmaceutical, biotechnology or life sciences Ability to communicate complex analytical findings to senior stakeholders. ...

experience working with large datasets. Experience with BI and data visualisation tools. Strong knowledge of customer lifecycle, retention, LTV or churn analysis. Understanding of statistical analysis, experimentation and predictive modelling. Strong communication skills with the ability to turn analysis into actionable recommendations. Python or R and digital ...

business performance and customer strategy. Responsibilities include: Analysing customer and business data to identify trends, opportunities and actionable insights Delivering post-campaign and performance analysis to support decision-making Developing customer profiles and audience insights Supporting testing and measurement initiatives to evaluate business and marketing performance Creating reports, dashboards … findings and insights to both technical and non-technical stakeholders Your Skills & Experience Strong SQL and/or Python skills for data extraction and analysis Experience working with customer, product, marketing, sales or business datasets Ability to query data from cloud-based environments such as AWS, Azure ...