1 to 25 of 26 Statistical Analysis Jobs in the South East

customers. As a mid-level contributor, you will work on a variety of data-driven projects, collaborate with cross-functional teams, and help implement scalable solutions. Key Responsibilities Data Analysis & Modelling: - Analyze large, complex datasets to identify trends, patterns, and actionable insights. - Develop, implement, and optimize machine learning models to solve business problems. - Conduct A/B testing and … experimental analysis to validate hypotheses. Data Management & Engineering: - Collaborate with data engineering teams to ensure data quality, accessibility, and efficiency. - Design and develop ETL pipelines and workflows for data preprocessing. - Develop automated tests to validate the processes and models you create. Collaboration & Communication: - Collaborate with stakeholders to define project goals, requirements, and deliverables. - Actively participate in design meetings to … Data Science, Statistics, Mathematics, or a related field. Experience: - 2 or more years of experience in a data science or analytics role. - Proven experience in building machine learning models, statistical analysis, and predictive analytics. - Experience designing experiments or modelling approaches to solve a specified business problem. Technical Skills: - Proficiency in programming languages such as Python or R; knowledge More ❯

similar analytics role (gaming, betting, or consumer apps is a big plus) Strong skills in SQL, Python or R, and data visualisation tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus: Experience with fraud detection or risk analytics Strong attention More ❯

driven solutions to support our company's objectives. What you will be doing Collaborate across departments to understand business objectives and identify data-driven solutions. Apply machine learning and statistical techniques to analyse complex datasets and generate actionable insights. Design and implement algorithms, models, and experiments to solve business problems and optimise product performance. Build and deploy MI and … to both technical and non-technical stakeholders through reports, visualisations, and presentations. The full life cycle of MI, PBI reports, and Dashboard. Work closely with software developers and data analysis teams to produce innovative reports and dashboards. What we are looking for Statistics, Mathematics, or a related field. Excellent problem-solving abilities, analytical skills, and attention to detail. Proficiency … SQL skills Understanding the Relational Database Data Modelling and Data Warehousing experience Strong communication skills to convey complex technical concepts to various stakeholders. Strong understanding of machine learning algorithms, statistical analysis, and data manipulation techniques. Experience with documenting processes. Data visualisation tools such as Power BI. What we can offer you 11% non-contributory pension scheme from day 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 ❯

warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing More ❯

warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing More ❯

activities including data review and validation checks, query and data issue generation and Data Change Request (DCR) management.•Prepare study datasets for execution of data transfers and/or statistical analysis.•Conduct database lock activities, including offboarding user access and conducting quality control review of lock documentation.•Liaise with Project Management and Product Management to archive study documentation and More ❯

Data and Analytics Machine Learning, AI, Python, Business Inteligence, Power BI, Snowflake Opportunity to join a Not-for-Profit organisation who are creating a new Data Division. Currently Data Analysis is reactive. Move towards a proactice data department with the remit to create value from the unique data points this organisation is generating. Responsible for strategic growth, data governance … using tools such as Power BI, Tableau, Qlik Experience of launching projects using AI/ML Hands-on skills with SQL, Python and from a Proof of Concept basis, Statistical Analysis (forecasting/Data Science) and genrating models for ML 3 days a week in the office 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 ❯

Biotech industry or related field or industry! Knowledge of trial site operations and study execution Strong knowledge of regulatory guidelines (e.g., ICH-GCP). Demonstrated strong understanding of data analysis and familiarity with basic statistical concepts and hands-on experience using data visualization tools Project, Issue, and risk management experience with strong ability to apply critical thinking & problem … solving skills, to drive solutions &helping to lead teams to successful outcomes. Strong experience working with technology platforms and systems used for the collection, analysis and reporting of data. Experience working in highly diverse teams within clinical research; cross-functional, global, multiregional Planning and coordination skills. Experience working with cross-functional stakeholders and leading teams in a matrix environment … drug development processes Preferred Experience Working with complex data structures and reporting specifications Working with external data e.g., Safety Lab, PK, Simple Biomarkers, ECG, or similar. Possess proficiency in statistical analysis, data modelling, and data visualization techniques, or demonstrate strong knowledge in these areas. Strong Knowledge of Monitoring and Risk-based Quality Management (RBQM)/Risk-Based Monitoring 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 ❯

client issues, usability gaps, or additions to modelling features Define tests to ensure that model updates and features meet quality expectations before client release Apply advanced analytics techniques (e.g. statistical analysis, visualisation, sensitivity testing) to help interrogate, validate, and interpret model outputs Support internal and external clients by answering technical product queries, analysing model behaviour, and gathering structured … and evidence of strong academic performance (First, 2:1 or similar) in a quantitative or technical discipline 1-2+ years of experience in a role involving complex data analysis, modelling, or product development (e.g. in energy, software, finance, or consulting) Proficiency in at least one programming language commonly used for analysis (e.g. Python, R, MATLAB) Demonstrated ability More ❯

and how they operate Extensive experience designing, developing and maintaining pipelines and tools to measure real-time engineering operations and processes Strong analytical and problem-solving skills in performing statistical analysis, data modeling, and predictive analytics. Professional experience in modern C++, including the STL and common testing frameworks Fluency in Python for software development Ability to develop high More ❯

Senior Marketing Data AnalystRole: Senior Marketing Data AnalystSpecialism(s): MMM (Marketing Mix Models), Experimentation, Geo-Testing, A/B Testing, SQL, Data Warehouse, Snowflake, Python/R, Statistical Analysis, Stakeholder Engagement, Communication, Presentation SkillsType: Contract, Inside IR35Location: London (Hybrid)Start: ASAP/UrgentDuration: 6+ Months Pay Rate: £500+ per day (Market Rates)Senior Marketing Data AnalystCPS Group UK … Experience* Demonstrable experience working as a Data Scientist, Data Analyst or Marketing Data Analyst* Highly proficient in SQL* Exposure to Data Warehousing technologies (e.g. Snowflake)* Excellent technical proficiency in statistical analysis tools - Python and/or R* Proven experience and strong knowledge of regression analysis including MMM and A/B Testing* Strong verbal and written communication More ❯

great work culture and environment 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 AND EXPERIENCE The successful Senior Analyst More ❯

around the world, to develop models to further the desk's understanding of short- and medium-term fundamental dynamics for Global and European markets Develop trading ideas based on analysis of fundamentals, statistics and option pricing Maintain a superior level of quantitative rigor in analysis and closely monitor accuracy of analytical output over time. Develop tools to monitor … experience in an energy commodities role, ideally with a strong understating of European gas and LNG markets Experience from working on a trading desk would be ideal Knowledge of statistical analysis and other quantitative techniques Technical requirements Advanced degree in engineering, sciences, math, finance, or economics or equivalent experience or relevant real world experience Advanced skills in a More ❯

and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modelling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for More ❯

incorporating security risks and daily job responsibilities Qualifications The successful candidate will possess the following qualifications: Experience as a Business Analyst or Project Manager or equivalent Experience with data analysis, data visualization, or statistical analysis Experience working in an agile environment specifically in the Automotive Claims/Repair Industry Experience with using data, user feedback and intuition More ❯

audience would be highly desirable. Google Analytics Individual Qualified (Valid GAIQ) Google Adwords certified Advanced GTM tagging and tracking knowledge (desirable) Advanced Microsoft Excel experience. Proven experience of advanced statistical analysis such as regression. Foreign language skills are desirable Salary will dependent on skills but probably in the range of £30K - £40K plus benefits. Please send your CV More ❯

like they belong. Job Responsibilities • Uses SAS or other software to develop custom programming code to generate summary tables, data listings, graphs and derived datasets as specified in the statistical analysis plan and programming specifications. • Works to ensure that outputs meet quality standards and project requirements. • Performs validation programming and works with other Programmers, Biostatisticians, and other project … sets goals based on priorities from management, and adapts to timeline or priority changes by reorganizing daily workload. • Develops specifications for datasets and outputs of any complexity according to statistical and sponsor requirements. Anticipates and addresses potential programming issues, reflects forethought, establishes the basis for efficient programming and accurately defines allvariables to be accepted by peer review and sponsor … projects and initiatives as necessary to meet the needs of the business. • Negotiates and establishes accurate time estimates for completion of study programming activities with internal team members and statistical programming management, and completes project programming activities within timeframe allotted. • Acts as the lead statistical programmer. Directs the programming activities of other programming personnel and monitors progress on More ❯

technical stakeholders. Experience in cross-functional team. Data Engineering Basics: Familiarity with SQL and big data processing tools (e.g., Amazon Athena). Model Evaluation & Experimentation: A/B testing, statistical analysis, and performance metrics. Security & Compliance Awareness: Understanding of data privacy, PII handling, and compliance standards (e.g., GDPR). Agile Methodologies: Experience working in Agile/Scrum teams More ❯

Please note: this opportunity is only available to current employees of the University of Kent or Canterbury Christ Church University Do you like using a range of statistical methodologies to generate data? Are you able to provide ongoing statistical evaluation and analysis that can support continuous development & improvement of practice education? If so, we would welcome your … application. As Data Analyst (Primary Care) you can expect to be involved in: Conducting psychometric and statistical analysis of data including but not limited to technology enhanced learning (TEL) and assessment and Primary Care Placement capacity. With support from the Digital Education Manager and Placements Manager, designing, implementing and maintaining strategies for ensuring high levels of data quality … psychology) Experience of working in an office environment with face -to-face contact with a variety of people Excellent IT skills with experience in using MS Office packages and statistical software such as SPSS High level of accuracy and attention to detail, including when maintaining electronic records We are committed to equality, diversity and inclusion and the core values More ❯

ensuring that they meet defined optical specifications and quality standards. Establish testing protocols for various stages of development. Implement process control techniques to ensure production consistency. Collect and perform statistical analysis on metrology data to identify trends, variances, and correlations to performance metrics. Analyze measurement data and correlate results to key performance indicators (KPIs). Produce comprehensive reports … and production) to identify areas for performance enhancement. Propose and implement improvements in metrology techniques and testing procedures. Create and maintain detailed technical documentation, including test plans, procedures, data analysis reports, and process control records. Minimum Qualifications: Bachelor's or Master's degree in Optical Engineering, Physics, Electrical Engineering, or a related Engineering field. 3+ years of hands-on … experience in optical testing, with a focus on waveguides or similar optical components. Proficiency in statistical data analysis using JMP or Minitab. Familiarity with process control, quality control, and acceptance testing in a high-volume manufacturing environment. Excellent troubleshooting skills with the ability to diagnose issues with optical systems and testing equipment. Strong communication skills, including the ability More ❯

activities including data review and validation checks, query and data issue generation and Data Change Request (DCR) management. •Prepare study datasets for execution of data transfers and/or statistical analysis. •Conduct database lock activities, including offboar... More ❯

RF, and enjoys cross-team interaction. Responsibilities include: Define, design, implement, and maintain measurement/test solutions for link/modem validation Define and analyse calibration and metrology aspects (statistical error analysis, confidence levels, error budgets) Develop modular, reusable software in Python (or similar languages) to be implemented in a variety of setups Analyse and troubleshoot link-performance … testers, channel emulators) Physical-layer satellite modem algorithms/standards (DVB-S2, CCSDS) Experience in collaborative software design (GIT, code reviews) Experience in test automation Linux and Windows experience Statistical analysis and metrology This is a fantastic opportunity for a Communications Test Engineer to design and own new cutting-edge products in a fast-paced, innovative environment and More ❯