1 to 25 of 42 Statistical Analysis Jobs

central expert on campaign measurement, attribution, and optimisation, guiding spend and targeting decisions across multiple channels. Alongside delivering hands-on analysis, you’ll mentor a small team, partner with senior stakeholders, and ensure best practice in data-driven marketing decisions. Key Responsibilities Lead and mentor a small marketing analytics … team, setting best practices and ways of working. Own full-funnel, cross-channel analysis covering acquisition, engagement, and retention. Improve campaign performance measurement through attribution modelling, incrementality testing, and media mix modelling. Partner with Data Science to develop predictive models (e.g. LTV, churn) to inform budget allocation. Build ...

Data Officer and key external partners, you will improve the use of internal regulatory data and wider external data sets, producing dashboards, reports and analysis that enable evidence-based decision-making. Key Responsibilities: Analyse, cleanse and assure data from multiple sources, including Dynamics CRM Develop and maintain Power … produce analytical reports Ensure data handling complies with information governance and security standards Candidate Requirements: You will have experience working in a data analysis or analytical role, with strong analytical skills and the ability to communicate insights clearly to a range of audiences. You will be confident using Power ...

identify patterns, trends, and actionable insights. Support the development and evaluation of machine-learning models. Assist with data cleaning, preparation, and feature engineering. Conduct statistical analysis to support business decisions. Build reports, dashboards, and visualisations for internal stakeholders. Collaborate with technical and non-technical teams to translate data … data science and analytics. Skills & Qualifications: Degree educated with a 2:1 or above. Strong programming skills in Python and R. Solid understanding of statistical analysis and quantitative methods. Foundational knowledge of machine learning techniques (classification, regression, clustering, etc.). Strong analytical mindset and attention to detail. Ability ...

identify patterns, trends, and actionable insights. Support the development and evaluation of machine-learning models. Assist with data cleaning, preparation, and feature engineering. Conduct statistical analysis to support business decisions. Build reports, dashboards, and visualisations for internal stakeholders. Collaborate with technical and non-technical teams to translate data … above ideally from a Redbrick university (e.g., Russell Group or equivalent) Strong programming skills in Python and R. Solid understanding of statistical analysis and quantitative methods. Foundational knowledge of machine learning techniques (classification, regression, clustering, etc.). Strong analytical mindset and attention to detail. Ability to present findings ...

services) Advanced skills with Tableau, Power BI, or Looker, including data source optimization and dashboard automation Proficiency in Python or R for scripting, data analysis, and automation Familiarity with APIs, RESTful data integration, and Git-based workflows Experience with A/B testing frameworks, statistical analysis … trends, and optimization opportunities across global support operations. Use SQL, Python, or R to build analytical scripts, support experimentation frameworks, and perform ad-hoc statistical analyses. Partner with Data Science teams to productionize analytical models or pipelines supporting A/B testing and performance measurement. Tooling & Capability Enablement: Evaluate ...

services) Advanced skills with Tableau, Power BI, or Looker, including data source optimization and dashboard automation Proficiency in Python or R for scripting, data analysis, and automation Familiarity with APIs, RESTful data integration, and Git-based workflows Experience with A/B testing frameworks, statistical analysis … trends, and optimization opportunities across global support operations. Use SQL, Python, or R to build analytical scripts, support experimentation frameworks, and perform ad-hoc statistical analyses. Partner with Data Science teams to productionize analytical models or pipelines supporting A/B testing and performance measurement. Tooling & Capability Enablement: Evaluate ...

Working with stakeholders across various teams Delivering insights on customers including demographic, LTV and engagement Regularly conducting a/b tests and other experiments Analysis incl. statistical analysis with tools such as Python/R desirable Development of some reports/dashboards in Tableau YOUR SKILLS ...

workflows. Data Scientists will collaborate with analysts, methodologists, and technologists to research, develop, and implement advanced methodologies that leverage artificial intelligence, machine learning, and statistical modeling to solve complex intelligence problems. Responsibilities: A day in the life/What the position will be doing: Work in tandem with analysts … methods to solve their challenges with complex data sets, pattern identification, and visualizations. Perform research and implement forward-looking analytic methodologies that leverage statistical techniques and pattern recognition. Assist analysts in developing structured approaches to predictive intelligence that increase timeliness and accuracy of assessments. Expand existing Natural Language Processing ...

Responsibilities Analyse manufacturing data to identify yield loss mechanisms and drive corrective actions Support process integration across multiple semiconductor process steps Lead root cause analysis using statistical and problem-solving methodologies (e.g. SPC, DOE, 8D) Drive yield improvement projects from investigation through to implementation Support new product introduction … Experience in a semiconductor manufacturing or high and medium volume manufacturing environment Strong understanding of semiconductor processes and process integration Proven experience with yield analysis and data-driven problem solving Familiarity with statistical analysis tools and manufacturing data systems What They Offer Competitive salary, relocation and benefits ...

ensure data pipelines are robust and accurate and you’ll have the opportunity to collaborate directly with C-suite executives on ad-hoc analysis and strategic projects. What You’ll Be Doing: Collecting, cleaning and analysing large datasets using SQL, R, Python and VBA Designing and delivering interactive dashboards … visualisations with Tableau and Power BI that are used across the organisation Performing business analysis to identify patterns, trends and optimisation opportunities Collaborating closely with a Data Engineer to ensure clean reliable data for reporting and analytics Providing ad-hoc insights and analysis directly to senior stakeholders including ...

analysis. Demonstrated experience building and deploying forecasting and predictive models (e.g., regression, ensemble methods) to predict sales, renewals, and customer demand. Strong understanding of statistical analysis, machine learning, model evaluation, and predictive modeling techniques. Experience working with model evaluation metrics such as MAPE, MAE, RMSE ...

develop complex reports and analyze company data including Corporate or client specific data; to serve as a technical resource for company staff on data analysis and benchmarking issues; to meet with clients on such issues as necessary; to provide training and data analysis education for program staff … workflow. + Develops comprehensive, complex and accurate information reports including OSHA reporting for a specific client. + Creates complex data reports and provides analysis for forecasting and/or benchmarking used by senior management. + Reports directly to senior management and communicates data findings for forecasting and client needs. ...

using Power BI and Microsoft Fabric analytics tools. Write DAX calculations for KPIs, time intelligence, advanced metrics, and custom business logic. Conduct exploratory and statistical analysis on structured and unstructured datasets to identify trends, patterns, and opportunities. Partner with Data Engineers to ensure Bronze and Silver layers … insights by preparing trustworthy datasets and metadata. Ensure all analytical solutions adhere to data governance, security, and compliance standards. Requirements: Proven expertise in data analysis, business intelligence, or analytics roles. Experience working within a Medallion Architecture, ideally with direct responsibility for Gold layer curation. Expertise in Power BI, including ...

managing stakeholder expectations, and significant subject-specific knowledge of App Marketing. We are looking for a proactive individual with strong technical skills in data analysis, experience of multi-channel marketing mix and a passion for staying abreast of industry trends. Key Responsibilities of the Mobile App Marketing Data Analyst … future targeting of lookalikes at scale ideally Managing relationships with multiple internal stakeholders based all over the world. Clean, transform, and prepare data for analysis to support the above Identify opportunities for process improvement or increased automation and efficiency through advanced technical solutions Provide training and support ...

modem and link validation, with an emphasis on baseband signal processing and digital verification workflows . Analyze and define calibration and metrology approaches, including statistical error analysis, confidence intervals, and error budgets. Develop modular and reusable software tools (primarily in Python or similar languages) for diverse test environments. … with collaborative software development practices (version control, code reviews). Background in test automation frameworks. Proficiency in both Linux and Windows environments. Skills in statistical analysis and metrology. ...

modem and link validation, with an emphasis on baseband signal processing and digital verification workflows. Analyze and define calibration and metrology approaches, including statistical error analysis, confidence intervals, and error budgets. Develop modular and reusable software tools (primarily in Python or similar languages) for diverse test environments. Analyze … with collaborative software development practices (version control, code reviews). Background in test automation frameworks. Proficiency in both Linux and Windows environments. Skills in statistical analysis and metrology. ...

will: Design realistic data science problems grounded in business scenarios Cover the full data science lifecycle , including: Data ingestion & cleaning Exploratory analysis Feature engineering Statistical analysis & modeling Validation and interpretation Implement verified Python solutions Ensure all problems are fully deterministic and reproducible Clearly document: Business context Data ...

culture, ensuring accurate and meaningful reporting across the division. Work with partners (e.g., police and internal council teams) to produce: Crime Needs Assessment Reports – statistical analysis of crime trends, risks, and community needs. Trend and Hotspot Analysis – identifying geographic and thematic patterns in crime data. Advise … interpretation. Support data governance compliance, ensuring GDPR and local authority data-sharing protocols are met. What we’re looking for Proven experience in data analysis, reporting, and visualisation (Power BI essential). Strong knowledge of SQL and data manipulation techniques. Ability to translate complex data into clear, practical insights. ...

tools like Visual Studio and Azure DevOps a plus, but a general exposure to a development workflow Quantitative: Expertise in some of the following, statistical analysis, time-series analysis, signal processing, portfolio theory, optimisation, machine learning/AI Field/Specialty: Mathematics, Physics, Math Finance, Computer Science ...

with ITIL processes, Agile/DevOps practices, cloud operations, and tools like Visual Studio and Azure DevOps* Quantitative: Expertise in some of the following, statistical analysis, time-series analysis, signal processing, portfolio theory, optimisation, machine learning/AI* Systematic strategies: Exposure and some understanding of Systematic Trading ...

science within healthcare, research, policy, or related sectors Strong knowledge of UK health and care research and clinical research processes Familiarity with databases, APIs, statistical analysis, dashboard design, AI/ML, and data cleaning Budget management experience Strong problem solving skills and the ability to generate creative, collaborative ...

research team. You will get the chance to lead modelling for a variety of clients by owning the analytics workstreams, including segmentation analysis, factor reduction, and multi-level regressions. Setting best practices, standards and processes for analytics. You will take responsibility for automating common analytical tasks, particularly for trackers … minimum of 3 years of relevant experience gained within market or social/political research. If you have experience working with survey data, statistical analysis, the ability to run exploratory data analysis, a deep understanding of working with survey data, including wrangling, merging, cleaning and weighting ...

hands-on role for someone who enjoys technical depth, variety, and ownership, and who is comfortable applying the right techniques to each problem - from statistical analysis through to machine learning and deep learning models. You’ll join a small, high-calibre team that values autonomy, flexibility and technical … clear, actionable data science solutions. Owning the full data science lifecycle, from data ingestion and feature engineering through to modelling, evaluation and deployment. Developing statistical, machine learning and deep learning models to support high-impact, real-world decision making. Working with large, structured and unstructured datasets, combining and enriching ...

hands-on role for someone who enjoys technical depth, variety, and ownership, and who is comfortable applying the right techniques to each problem - from statistical analysis through to machine learning and deep learning models. You’ll join a small, high-calibre team that values autonomy, flexibility and technical … clear, actionable data science solutions. Owning the full data science lifecycle, from data ingestion and feature engineering through to modelling, evaluation and deployment. Developing statistical, machine learning and deep learning models to support high-impact, real-world decision making. Working with large, structured and unstructured datasets, combining and enriching ...

create new empirical data through several measurement techniques in order to further support newly generated insights. You will also be tasked to improve the analysis and visualisation of data as well as determine improvements to the efficiency and effectiveness of the Hair Category capability through the optimisation of instrumentation … aspects of the Hair Category's technical performance evaluation capability workstream, driving continuous improvement in measurement capability efficiency and effectiveness. Define and implement data analysis and generic support plans for new and current active materials and products to demonstrate functional performance and generate claims substantiation data through own modelling ...