1 to 25 of 51 Statistical Analysis Jobs

leading process improvement initiatives that delivered measurable results. • Demonstrated experience applying Lean Six Sigma tools and techniques (e.g., DMAIC, value stream mapping, root cause analysis, statistical analysis, and control plans) to improve quality, cycle time, cost, and customer experience. • Experience developing process maps, standard operating procedures … construction, real estate, affordable housing, senior living, or property; management related industries. Experience in managing people. Experience using or configuring Smartsheet. Experience with statistical analysis software (e.g., Minitab) and workflow or process automation tools. Licenses/Certifications/Registrations(preferred but may not be required): • Lean Six Sigma ...

data warehouse data, to develop and maintain analytic datasets, clinical measures, reports, dashboards, and other data products. The position requires strong SQL and data analysis skills, an ability to understand complex clinical workflows and data structures, and the judgment to assess data quality and communicate limitations clearly to clinical … system characteristics, and known limitations to support reproducibility and appropriate interpretation of results. Support research and quality-improvement initiatives through data extraction, cohort development, statistical analysis, and analytic consultation. Identify opportunities to improve the availability and quality of clinical data, including collaboration with clinical informatics and data-management ...

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 ...

Process of Record (POR) to ensure robust, scalable manufacturing Plan and run experiments using DOE methodologies, then execute, analyze and document the results Perform statistical analysis and derive actionable conclusions Support root-cause investigations for stability and reliability issues Your profile Qualifications and skills to help you succeed … wide-bandgap technologies Solid understanding of semiconductor device physics (experience with GaN and HEMT structures is a strong plus) Experience in DOE and statistical analysis A structured, analytical problem-solving approach and ownership mindset Fluent English; German (or motivation to learn) is an advantage We offer competitive salaries ...

genomics. This is an exciting opportunity to work within a multidisciplinary environment, tackling complex biological data challenges and contributing to the development of advanced statistical and computational approaches that support scientific discovery and innovation. Key Responsibilities Lead statistical and bioinformatics analysis projects, delivering meaningful insights from complex … biological datasets. Develop and enhance statistical methodologies and computational algorithms. Apply machine learning and artificial intelligence techniques to research and product development initiatives. Collaborate closely with laboratory scientists to support experimental design, data analysis, and interpretation. Analyse, process, and interpret Next Generation Sequencing (NGS) and other high-throughput ...

maintain dashboards, reports, and data visualizations. Use SQL to extract, transform, and analyze data from multiple sources. Use Excel or Google Sheets for analysis, reporting, and data management. Partner with business and cross-functional teams to understand their data needs. Translate complex findings into clear, practical recommendations. Monitor … performance indicators (KPIs) and provide regular insights to stakeholders. Identify data quality issues and work with relevant teams to resolve them. Support forecasting, performance analysis, and other data-driven projects. Continuously improve reporting processes and analytical methods. What Were Looking For Bachelors degree in Data Analytics, Statistics, Mathematics, Computer ...

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. ...

Start ASAP 40 hrs week Must Have: Advanced SQL for high-volume customer, payment, loyalty and transaction analysis. Strong Python for statistical analysis, matching, weighting, cohort analysis and reproducible data products. Hands-on Databricks/Spark or PySpark experience for notebooks, Delta tables, workflows and scheduled analytical … idempotency and incremental processing. Experimentation or uplift-model validation experience. BNA or customer-decisioning exposure. MUST HAVE high-volume customer, payment, loyalty and transaction analysis Data Scientist Role Overview: Lead Data Scientist - Customer Intelligence, Incrementality & Value Measurement Primary focus: SCI/customer analytics, incrementality, CLV/RFM, customer ...

cross-sector innovation and academic communities What skills & qualifications you will need: Degree in a numerate subject (e.g. Mathematics, Statistics) Proven experience in statistical analysis and data science, ideally within the water industry or similar sectors Strong programming skills in Python, R, and SQL Experience working with cloud ...

cross-sector innovation and academic communities What skills & qualifications you will need: Degree in a numerate subject (e.g. Mathematics, Statistics) Proven experience in statistical analysis and data science, ideally within the water industry or similar sectors Strong programming skills in Python, R, and SQL Experience working with cloud ...

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. ...

supporting sales, marketing, and operational business initiatives Partner directly with business stakeholders to translate ambiguous business requests into actionable data solutions Perform exploratory data analysis, feature engineering, model selection, validation, tuning, and performance optimization Work with existing enterprise-scale cloud and big data environments to support scalable analytics initiatives … building machine learning and predictive models from the ground up Experience working with large-scale datasets and distributed data processing environments Strong understanding of statistical analysis, forecasting, predictive modeling, and machine learning methodologies Experience operating within cloud-based analytics ecosystems (AWS, Azure, or GCP) Proven ability to work ...

governance, cyber-security and clinical-safety requirements. Experience managing capacity, performance, refreshes, gateways, licensing and cost; resolving production incidents and defects through root-cause analysis and continual improvement. Experience translating stakeholder needs into governed data products, with strong analytical, problem-solving and operational judgement. Experience coaching colleagues, developing team … Azure data services, Microsoft Purview, Power Platform, Microsoft 365 or related technologies, including migration of legacy reporting or data workloads. Experience supporting forecasting, statistical analysis, machine learning or responsible AI use cases. Experience developing governed self-service analytics, data literacy or a reporting centre of excellence, and improving ...

statistics, and contributing to working groups developing information capability to support effective decision making. Main duties of the job Provide reports, data and analysis to support managers, service planning and monitoring groups. Provide specialist statistical analysis of service use data and quality metrics to identify trends, developments … relational database theory Knowledge of Acute Hospital information systems (e.g. PAS) Knowledge of Community Services information systems (e.g. EMIS Web Community) Knowledge of statistical publication, monitoring and metrics Ability to read, comprehend and advise on national policy and guidance Knowledge of NHS quality/governance systems e.g. CQC Skills ...

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 ...

machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering, and model evaluation. Build scalable data pipelines and automate model training and inference processes. Collaborate with engineering teams ...

machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering, and model evaluation. Build scalable data pipelines and automate model training and inference processes. Collaborate with engineering teams ...

machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering, and model evaluation. Build scalable data pipelines and automate model training and inference processes. Collaborate with engineering teams ...

product data into meaningful insights that improve quality, performance and decision-making. Working closely with engineering, manufacturing and digital teams, you will apply analytics, statistical modelling and machine learning techniques to solve complex engineering challenges. The Data Scientist will: Analyse manufacturing, quality and product performance data to identify trends … improvement opportunities. Develop analytical models, dashboards and reporting tools. Apply statistical and machine learning techniques to support engineering decisions. Define data and reporting requirements with engineering and digital teams. Support simulation and modelling activities using real-world data. Present findings and recommendations to technical and non-technical stakeholders. ...

skills to some of the biggest healthcare problems of the day. We use a wide variety of techniques within the operational research, mathematical modelling, statistical analysis, data science and machine learning toolkits, often working at the interface of academic research and practical application. No problem … most importance is a good grasp of applied modelling approaches underpinned by degree-level qualification(s) in a quantitative discipline. Experience of coding in statistical languages, especially in 'R', is strongly desirable. The role-holder should have an open and inquisitive mind and be prepared to think innovatively ...

Description As a Lead Data Scientist, you will spearhead the development of advanced probabilistic models that power real-time betting markets. The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models … such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track ...

Description As a Lead Data Scientist, you will spearhead the development of advanced probabilistic models that power real-time betting markets. The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models … such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track ...

experiments. Improve attribution and marketing measurement frameworks. Build and maintain Customer Lifetime Value (LTV) models to support acquisition strategy and budget decisions. Translate statistical analysis into clear commercial recommendations. Partner closely with marketing stakeholders to optimise spend and performance. Use AI tools to accelerate analysis, experimentation … insight generation. Your Skills & Experience Strong experience in marketing measurement, MMM, incrementality testing, or experimentation. Excellent statistical knowledge including causal inference, hypothesis testing, regression analysis, and experimental design. Strong SQL skills with experience working in modern analytics environments. Experience with Python and tools such as Snowflake and dbt. ...

dashboards, robust datasets and analytical products using advanced SQL and other appropriate tools. Develop demand, capacity, activity and productivity models, forward trajectories and scenario analysis to support credible recovery plans. Identify emerging operational risks, bottlenecks and unwarranted variation, translating findings into clear options for clinical and operational teams. Work … basis. This must first be agreed with your current line manager. Person Specification Qualifications Essential Masters degree-level education in a relevant analytical, mathematical, statistical, computing or information discipline, or equivalent substantial professional experience; evidence of continuing professional development. Desirable Further Postgraduate qualification or specialist certification in analytics, data ...