76 to 100 of 575 Statistical Analysis Jobs

London! Salary Range: £60.000 - £70.000 annually, based on experience and qualifications. About the job: We are seeking a highly skilled Data Scientist with expertise in CRM and customer behavior analysis to join our newly founded CRM Data Science team. You will play a crucial role in analyzing customer behavior on our gambling platforms, providing insights and building features that … optimization. Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. … till bringing out the product to customers, and beyond. What will make you stand out: Experience working in an analytics role in the gambling industry. Experience with CRM data analysis and customer segmentation. Knowledge of tensorflow/pytorch. Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. Experience in design and evaluation More ❯

London! Salary Range: £60.000 - £70.000 annually, based on experience and qualifications. About the job: We are seeking a highly skilled Data Scientist with expertise in CRM and customer behavior analysis to join our newly founded CRM Data Science team. You will play a crucial role in analyzing customer behavior on our gambling platforms, providing insights and building features that … optimization. • Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements: • Master's or PhD degree in a quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. … till bringing out the product to customers, and beyond. What will make you stand out: • Experience working in an analytics role in the gambling industry. • Experience with CRM data analysis and customer segmentation. • Knowledge of tensorflow/pytorch. • Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. • Experience in design and evaluation More ❯

datasets, and share insights to optimise category performance. You will collaborating with In-Stock Merchandising team and will manage another Data Analyst to drive NPD, category decision-making, and analysis in product buying and inventory management. Key responsibilities of this Lead Data Scientist - Category Management : Partner with the Data Team to measure and report on availability levels and their … experience in analytics or data science, preferably in grocery, operations, marketing or consumer products. Open to experience in Investment Banking as Senior Associate or VP level Strong understanding of statistical analysis and experiment design. Ideally a bachelor's degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential Experience in developing machine More ❯

is to help design the data we collect, creating new tests and understanding and using effectively the incoming data from devices APIs, and while also helping other teams with statistical analysis for our Customers and Sales teams. You will also get exposure to many other parts of the business, working closely with our Data Engineers, Android & iOS Engineers … mobile and fixed broadband network clients. Translating business and customer requirements to data science analyses and communicating these effectively with technical and non-technical stakeholders. Evaluating the robustness of analysis and recommendations, to influence the direction of product development within cross-functional teams. Working cross-functionally with Mobile, Data Engineering & Product members to create improvements in the tools and … techniques to help scale our analyses. What We Need From You A passion for data interrogation and analytics, with advanced modelling, coding and analysis skills entailed in the role. Experience working as a Data Scientist, ideally on client-facing analysis or products. Degree (or equivalent) in a quantitative field such as Statistics, Applied Mathematics, Physics, Engineering, Computer Science More ❯

who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. The Research Analyst will perform Big data analysis to identify patterns, train model to generate product to product relationship and product to brand & model relationship. The Research Analyst is also expected to continuously improve the ML/… should be able to write clear and detailed functional specifications based on business requirements. Key job responsibilities Scoping, driving and delivering complex projects across multiple teams. Performs root cause analysis by understanding the data need, get data/pull the data and analyze it to form the hypothesis and validate it using data. Build programs to create a culture … team(s)/partners to meet program and/or product goals. Coordinates design effort between internal team and External team to develop optimal solutions. Performs supporting research, conduct analysis of the bigger part of the projects and effectively interpret reports to identify opportunities, optimize processes, and implement changes. Ability to convince and interact with stakeholders at all level More ❯

who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. The Research Analyst will perform Big data analysis to identify patterns, train model to generate product to product relationship and product to brand & model relationship. The Research Analyst is also expected to continuously improve the ML/… should be able to write clear and detailed functional specifications based on business requirements. Key job responsibilities • Scoping, driving and delivering complex projects across multiple teams. • Performs root cause analysis by understanding the data need, get data/pull the data and analyze it to form the hypothesis and validate it using data. • Build programs to create a culture … team(s)/partners to meet program and/or product goals. • Coordinates design effort between internal team and External team to develop optimal solutions. • Performs supporting research, conduct analysis of the bigger part of the projects and effectively interpret reports to identify opportunities, optimize processes, and implement changes. • Ability to convince and interact with stakeholders at all level More ❯

growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. Please Note: Unfortunately, this role does More ❯

experience in a data-science related role, with hands-on experience in data science engineering. Proficiency in programming languages such as Python and SQL. Experience with data processing and analysis tools and technologies like TensorFlow, Keras, Scikit-learn. Strong understanding of large language models (LLMs) and machine learning (ML) algorithms and techniques. Familiarity with data visualization tools such as … Power BI. Solid understanding of statistical analysis and hypothesis testing. Ability to work with structured and unstructured data sources. Knowledge of cloud computing platforms (AWS, Azure) and data security measures, including compliance with data governance standards and big data technologies. Experience with Databricks and Mosaic AI is plus. By enabling flexibility in how we work and prioritizing employee More ❯

for sophisticated marketing and outreach campaigns, with the overall goal of supporting revenue generation (via ticket sales) for our Women’s summits. In addition, the role will provide deep analysis (e.g. retention rates, channel performance etc.) and insights to optimise sales and marketing efforts. This role requires a strong understanding of data analytics, customer segmentation, and business intelligence tools … dashboards and reports using BI tools (e.g., Tableau, Power BI) to present insights and campaign attribution. Partner with internal teams to embed measurement thinking into every campaign. Customer Segmentation & Analysis: Analyse customer demographics, behaviours, and purchasing patterns to identify key segments and improve targeting and personalisation. Initiate sales opportunities/leads by navigating accounts and hunting for qualified prospects … cleaning leads, collaborating with marketing and sales as appropriate, and ensuring that data collection across various forms and touch points are optimised for lead generation. Perform statistical analyses to measure segmentation effectiveness. Campaign Optimisation & Insights: Analyse the performance of marketing campaigns and sales efforts across customer segments, including creating KPIs around new data and added/created leads. Provide More ❯

data visualisation platforms (e.g. Power BI, Looker) and also using AI tools and D3.js) • Strong programming skills in relevant languages (Python, DAX, SQL) with experience in data manipulation and statistical analysis • Solid understanding of data architecture principles and cloud-based analytics platforms • Knowledge of web technologies (HTML, CSS, React/Vue) for custom visualisation development Design & User Experience More ❯

data visualisation platforms (e.g. Power BI, Looker) and also using AI tools and D3.js) • Strong programming skills in relevant languages (Python, DAX, SQL) with experience in data manipulation and statistical analysis • Solid understanding of data architecture principles and cloud-based analytics platforms • Knowledge of web technologies (HTML, CSS, React/Vue) for custom visualisation development Design & User Experience More ❯

Our solutions and expertise empower our clients to achieve their AI goals and make a significant impact in their industry. The data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or … training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows. Responsibilities: Produce data visualizations that provide insight into dataset structure and meaning Collaborate with subject … information from a variety of data formats (e.g., SQL tables, structured metadata, network logs) Incorporate SME input into feature vectors suitable for analytic development and testing Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics More ❯

This is a hands-on analytical role combining customer analytics, data science, and strategic insight. You'll take ownership across a blend of traditional customer analytics and more advanced statistical modelling projects, supporting fast feedback loops across marketing performance, churn, forecasting, and member engagement. The role offers scope to grow into either a strong individual contributor role or people … leadership position as the function scales. Key Responsibilities Analyse customer behaviour across the platform to support commercial growth and marketing optimisation. Deliver pre- and post-campaign analysis, segmentation work, and ongoing performance tracking. Build and deploy statistical models such as linear regression, clustering, forecasting, and advanced A/B tests. Work closely with ML Engineers, commercial teams, and … senior stakeholders to translate insight into business action. Support marketing measurement, frequency analysis, churn reduction and commercial opportunity assessment. Collaborate cross-functionally with data engineering, product, and commercial teams on high-impact projects. Present clear, actionable insight to both technical and non-technical stakeholders across the business. Skills & Experience Essential: Strong experience in customer analytics, data science, or advanced More ❯

shape data strategies. Key responsibilities As a Data Analyst, your roles will vary based on client needs. The position is hands-on, supporting projects with a focus on: Data analysis and reporting: Conduct in-depth analyses, generate reports, and provide actionable insights. Data and BI visualisation: Create dashboards using tools like Power BI, Tableau, Quicksight. Client interaction: Understand client … and present findings clearly. You will ensure outcomes for users are delivered, considering the broader context of each delivery and aligning operational and analytical aspects. Skills, knowledge, and expertise Analysis and synthesis Application of analytical techniques: Proficiency in statistical analysis, data mining, qualitative analysis, selecting appropriate methods based on context. Synthesis of research data: Experience in … and linkage: Experience with validation checks and data merging. Data preparation: Handling missing data and duplicates. Communication: Discussing data limitations with guidance. Peer reviews: Participating to improve data quality. Statistical Methods and Data Analysis Knowledge of statistical methods: Familiarity with hypothesis testing, regression, clustering; eagerness to learn appropriate applications. Analysis and interpretation: Using software or programming More ❯

collaborating with leading brands to access consumer behavioural data previously unavailable. The Role Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources for analysis. Statistical Analysis: Use econometric techniques like regression, time series, and panel data analysis to explore relationships between media spend and outcomes. Model Validation and Interpretation: Evaluate model accuracy … and budget optimization. Advanced Analytics: Explore machine learning techniques to enhance insights and model accuracy. Your Experience and Skills Data Science: Proficiency in Python, R, SQL, including data manipulation, statistical modeling, and visualization. Econometrics: Experience with regression, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and KPIs. Communication More ❯

Job Responsibilities: Own and maintain global business-critical reporting, including data structures, ETL pipelines, and reporting tools like Quicksight or Excel. Translate business requirements into scalable, automated solutions. Provide analysis and insights to support decision-making. Collaborate with Data Engineering and Analytics teams to improve data sources and processes. Experience Requirements: Data analysis with Redshift, Oracle, NoSQL, etc. … Data visualization skills with Tableau, Quicksight, or similar. Data modeling, warehousing, and ETL pipeline development. Statistical analysis with R, SAS, Matlab. SQL and scripting with Python for data processing. Preferred Qualifications: Experience with AWS services like EC2, DynamoDB, S3, Redshift. Experience in data mining, ETL, and handling large datasets in a business environment. Note: The posting date appears More ❯

clinical development plan (CDP), the setup of the study to make sure biomarker data are adequately captured and collected to answer the study objectives and to support the planned statistical analyses. Use of artificial intelligence and machine learning approaches (e.g. classification, clustering, artificial neural networks, deep learning) on clinical data sets (biomarker profiles, genome-wide datasets, medical imaging data … continuous data from wearable devices) Accountable for all statistical deliverables related to the study regarding TM/Biomarker aspects, e.g. Biomarker Statistical Analysis Plan and statistical appendices (TLGs and in-text tables) Create productive work environment Coordinate the activities of external partners and CROs for biomarker data generation or biomarker statistical activities Perform pre-processing … production of the definitions, documentation and review of derived variables, as well as the quality control plan. Perform and/or coordinate with study programmer the production of biomarker statistical analyses. Review and examine statistical data distributions/properties. Oversee execution of the statistical analyses according to the Biomarker SAP, prepare statistical methods & provide statistical More ❯

TS/SCI clearance and Full Scope Polygraph to support the intelligence community by delivering meaningful visualizations, analytics, and data-driven insights. The ideal candidate excels in business analytics, statistical analysis, and interactive data visualization-particularly with Tableau and/or Power BI. Application Deadline: June 29, 2025 Location: Chantilly, VA Key Responsibilities: • Interpret data models and work … with diverse data sources and structures. • Create compelling data visualization prototypes, mockups, and dashboards. • Translate business needs into actionable project specifications. • Apply qualitative and quantitative data analysis to support strategic objectives. • Prepare, transform, and combine data using tools such as Tableau Prep, Python, and SQL. • Present complex information to both technical and non-technical stakeholders. • Document processes and visualization … Power BI, or similar data visualization platforms. • Experience using Tableau Prep Builder or other data prep tools. • Strong programming skills in Python or SQL. • Proficiency in Excel and data analysis best practices. • Demonstrated experience in at least two of the following: business analytics, statistics, data verification/validation, or data visualization. • Strong interpersonal and communication skills. • Proven ability to More ❯

Operations Global Catalog Operations is seeking a highly skilled and experienced Business Analyst to lead its Business Analytics team. The successful candidate will be responsible for leading complex data analysis projects, developing and implementing process improvements, and communicating findings and recommendations to senior management through data visualizations and reports. In this role, you will have the opportunity to make … and dynamic team to identify opportunities for improvement and optimize business processes through data-driven insights. Key job responsibilities - Manage a team of business analysts to deliver to data analysis requests and generate insights for operations team and engineering partners - Partner with technology leaders, program managers, operations leaders and internal stakeholders globally to identify, quantify and solve for opportunities … Drive insights and action we can take to improve the customer experience - Analyze and solve business problems with focus on understanding root causes and driving forward-looking opportunities - Perform statistical tests to establish trends, patterns, seasonality. Use data mining, model building, and other analytical techniques to develop predictive models - Establish relationship between output metrics and drivers to identify and More ❯

building required data model, acquiring new data sources and building comprehensive data visualizations for key stakeholders. You will mine data, identify data co-relation across different functional areas, run statistical analysis, gather insights and make recommendations based on your findings to help senior leaders make key business decisions. Data analysis is at the core Amazon’s culture … military experience - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science More ❯

optimization. Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. More ❯

optimization. Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. More ❯

job responsibilities 1) Apply multi-domain/process expertise in day to day activities and own end to end roadmap. 2) Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution. 3) Define analytical approach; review and vet analytical approach with stakeholders. 4) Proactively and independently work with stakeholders to construct use … lead work with data engineering for full-scale automation 6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis 7) Work with a variety of data sources and Pull data using efficient query development that requires less post processing (e.g., Window functions, virt usage) 8) When needed, pull … analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes 2) Have the capability to handle large data sets in analysis through the use of additional tools 3) Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes 4) Understand the basics of More ❯

Principal Data Analyst Contract Type: Permanent Location: Edinburgh or Glasgow or Alderley Park (Wilmslow) Working style: Hybrid 50% home/office based We are growing our Data & AI Strategy Analysis practice, and we are looking for a Principal Data Analyst to join our Data & AI Strategy team to explore strategic opportunities for value from data and AI. As an … You'll enjoy the journey from uncovering and profiling new value pools and developing hypotheses for value. This will mean getting hands on with data in messy (multidimensional) exploratory analysis of complex to identify and prioritise strategic opportunities for value. In the past 2 years we have deployed a shiny, new modern tech stack and invested in a new … up to date with the latest techniques. To be successful, you'll need strong analytical skills to identify key value drivers and model potential scenarios and be familiar with statistical methods to we are robust and credible in our efforts to take an insight-led approach to inform our decision making at a strategic level. Key Responsibilities: Analyse relevant More ❯

the business by delivering data-driven insights, identifying trends, and supporting post-market quality processes. This role combines deep analytical expertise with hands-on involvement in complaint handling, trend analysis, tracking and compliance-driven reporting. You will also perform key post-market quality engineering functions, ensuring our products continue to meet high standards of safety, performance, and regulatory compliance. … as product investigations, ad hoc risk reviews, return process, intake process and product monitoring across all franchises. Execute quality engineering activities for all post-market product surveillance, including collection, analysis, and evaluation of product safety and performance data. Analyze complaint data to detect emerging trends and quality issues that may require further investigation or corrective action. Lead complaint analysis … Ensure compliance with all Quality Management System requirements and KPIs. Support CAPAs, Health Hazard Evaluations (HHE), audits, inspections, and other investigations using standard quality tools (e.g., fishbone diagrams, Pareto analysis, process mapping, control charts and other Minitab statistical analysis tools). Cross-Functional Support & Leadership: Serve as liaison between marketing, manufacturing, quality, and R&D to maintain More ❯