1 to 25 of 131 Remote Statistical Analysis Jobs in the UK

Salary: £55,000 - £60,000 per annum Employment type: Permanent Hours per week: 37 Reporting into: Director of Analysis, Insights and Performance Department: Analysis, Insights and Performance Click here to read the full job description and view our excellent benefits here This role operates primarily on a remote working arrangement that will require little to no travel into … There has never been a more exciting time to join Arden University, as we expand into new disciplines, forge worldwide partnerships, and expand our locations. About our Department : The Analysis, Insights & Performance department at Arden University plays a vital role in driving data-driven decisions. By providing valuable insights, monitoring performance, and promoting innovation, the team supports the university … s mission to enhance student outcomes and drive continuous improvement. About the Opportunity: As the Principal Data Analyst at Arden University, you will use your mathematics, statistical, and visualisation expertise to drive improvements in student experience, student outcomes, and operational efficiency. You'll promote the highest possible standards in analytical rigour at Arden University. You'll oversee, manage, and More ❯

Salary: £55,000 - £60,000 per annum Employment type: Permanent Hours per week: 37 Reporting into: Director of Analysis, Insights and Performance Department: Analysis, Insights and Performance Click here to read the full job description and view our excellent benefits here This role operates primarily on a remote working arrangement that will require little to no travel into … There has never been a more exciting time to join Arden University, as we expand into new disciplines, forge worldwide partnerships, and expand our locations. About our Department : The Analysis, Insights & Performance department at Arden University plays a vital role in driving data-driven decisions. By providing valuable insights, monitoring performance, and promoting innovation, the team supports the university … s mission to enhance student outcomes and drive continuous improvement. About the Opportunity: As the Principal Data Analyst at Arden University, you will use your mathematics, statistical, and visualisation expertise to drive improvements in student experience, student outcomes, and operational efficiency. You’ll promote the highest possible standards in analytical rigour at Arden University. You’ll oversee, manage, and More ❯

Salary: £55,000 - £60,000 per annum Employment type: Permanent Hours per week: 37 Reporting into: Director of Analysis, Insights and Performance Department: Analysis, Insights and Performance Click here to read the full job description and view our excellent benefits here This role operates primarily on a remote working arrangement that will require little to no travel into … There has never been a more exciting time to join Arden University, as we expand into new disciplines, forge worldwide partnerships, and expand our locations. About our Department : The Analysis, Insights & Performance department at Arden University plays a vital role in driving data-driven decisions. By providing valuable insights, monitoring performance, and promoting innovation, the team supports the university … s mission to enhance student outcomes and drive continuous improvement. About the Opportunity: As the Principal Data Analyst at Arden University, you will use your mathematics, statistical, and visualisation expertise to drive improvements in student experience, student outcomes, and operational efficiency. You’ll promote the highest possible standards in analytical rigour at Arden University. You’ll oversee, manage, and More ❯

assurance on imported data, working closely with quality assurance teams as necessary. Troubleshoot and resolve issues within the reporting database environment. Produce detailed reports from various data sources for analysis and informed decision-making. Initiate and terminate data sets based on project needs. Review changes and updates to source production systems to maintain data accuracy. Handle sensitive information following … storage structures, data mining, and data cleansing methodologies. Requirements Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field. 1-2 years of experience in data analysis or a similar role. Proficiency in SQL for data extraction and manipulation. Familiarity with data visualization tools such as Tableau or Power BI. Basic knowledge of programming languages like … solving skills. Excellent attention to detail and accuracy in data handling. Good communication skills for presenting findings to stakeholders. Ability to work collaboratively in a team environment. Familiarity with statistical analysis and data modeling. Experience with CRM or ERP systems is a plus. Knowledge of data protection regulations like GDPR is a plus. What We Offer Competitive salary More ❯

may be available for exceptional candidates. The ideal candidate will have a minimum of 5 years' experience in data science or a related field, with extensive knowledge of advanced statistical analysis and machine learning algorithms. Proficiency in Python, R, and SQL is essential. As a Senior Data Scientist, you will play a key role in developing data solutions … valuable insights from complex datasets, develop advanced machine learning models, and drive data-driven decision-making across the organisation. Main Duties Design and implement sophisticated machine learning algorithms and statistical models to solve complex business problems Collaborate with cross-functional teams to identify opportunities for data-driven solutions and improvements Develop and maintain scalable data pipelines for efficient data … processing and analysis Create compelling data visualisations and reports to communicate findings to both technical and non-technical stakeholders Mentor junior data scientists and contribute to the overall growth of the data science team Stay abreast of the latest advancements in data science and machine learning, incorporating new techniques and technologies as appropriate Contribute to the development of best More ❯

Data Science & Predictive Analytics Build and refine predictive models to forecast freight rates, supply-demand dynamics, and market conditions, with a focus on enabling sustainable shipping decisions. Apply advanced statistical techniques and machine learning to extract high-quality insights from large datasets. Collaborate with the Data Engineering team to establish seamless, efficient data pipelines that ensure data reliability and … the forefront of the maritime SaaS space. Skills and experience Education Master’s or Ph.D. in Data Science, Maritime Studies, Economics, Finance, or a related field. Experience Experience data analysis, market research, or maritime analytics. Expertise in maritime trading, supply-demand analysis, FFAs, forward curves, and derivatives. Technical Skills Proficiency in Python and SQL for data manipulation and … and utilizing big data technologies (e.g., Azure, Databricks, Spark) Familiarity with data visualization tools such as Power BI, or matplotlib Strong knowledge of predictive modeling, machine learning techniques, and statistical analysis. Soft Skills Analytical mindset with a passion for uncovering actionable insights from complex datasets. Excellent communication and presentation skills to translate technical findings into business value. Self-driven More ❯

will also play a key role in suggesting and implementing process improvements for the team to mitigate risks and enhance the overall client experience. JOB SUMMARY AND RESPONSBILITIES: Data Analysis and Process Improvement: •Analyze trade lifecycle and operational workflows to identify areas for optimization and automation. •Enable strategic decision making through data driven analytics. •Develop detailed technical specifications for … target data warehouses or databases. Risk Mitigation and Data Governance: •Implement data validation rules and monitoring mechanisms to ensure the accuracy and reliability of data used for reporting and analysis, adhering to data quality standards and regulatory requirements Stakeholder Management and Prioritization: •Work with stakeholders to define project scope, objectives, and deliverables, creating detailed project plans and timelines. •Communicate … complex calculations, custom visualizations, and performance optimization. •SQL Development Skills: Mastery of SQL, including the ability to write complex queries, stored procedures, views and perform query optimization. •Programming/Statistical Analysis Skills: Working knowledge of R or Python for analytics, data manipulation, and algorithm development. •Data Warehousing Knowledge: In-depth knowledge of data warehousing principles, dimensional modeling techniques More ❯

shaping our data strategy and driving business growth. Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and … load data from diverse sources into AWS for analysis. Apply advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that … proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL More ❯

BI, WebApp and data product interfaces, leveraging UI/UX design and UAT processes. Enabling data-driven insights: Conduct data modelling best practices through schema design, semantic modelling and statistical analysis, while understanding sector-specific datasets and business processes to deliver actionable insights. Leading scalable delivery: Operate as a product owner, managing agile planning, governance, and execution to … across various stages of End-to-End Analytics/AI Transformation or Large-scale Deployments/Technology Implementation Programmes Technical and Analytical Skills: Strong analytical skills, including data modelling, statistical analysis, machine learning, and advanced analytics with solid experience delivering best practice data models within an organisation Familiarity with project governance tools and artifacts for product delivery (e.g. … reports such as Power BI, Tableau, Qlik, Looker etc. Experience in UX design, requirements gathering, data-driven decision-making, risk assessment, KPI framework development, or value tracking and value analysis Experience in ingestion, integration, data engineering, data quality and observability, dataset identification Experience in high-level architecture, solution design or platform licensing Experience in business case development and financial More ❯

the audience. Articulating your views and honest perspectives through active listening and engaged participation. Technical Leadership & Project Delivery Leading technical project delivery by designing solutions, writing code, and conducting analysis using Agile principles. Using data and operational management techniques to improve operational performance. Providing technical oversight to data scientists, identifying opportunities to use data to derive insights and shape … will be able to demonstrate proven experience in any combination of the following skills, with a priority on the technical areas listed below: Technical Capabilities Strong data manipulation and analysis skills. Programming using Python and SQL (additional languages are a benefit). Dashboarding using Tableau and/or Power BI and data visualisation using common data science packages (Matplotlib … seaborn, etc.) Understanding of version control (preferably through Git). Experience in contributing to and improving technical playbooks. Solid knowledge of statistical methods and concepts. Management Capabilities Management consulting expertise, including methodologies, frameworks, tools, and approaches to solve business problems. Experience in Business Analytics, using data and statistical analysis to derive insights and make informed decisions. Experience 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 ❯

Role Description This is a full-time remote role for a Data Analyst at Goss. As a Data Analyst, you will be responsible for analyzing and interpreting data, developing statistical models, and communicating insights. You will collaborate with cross-functional teams to identify patterns and trends, and provide recommendations based on data analysis. The Opportunity You'll define our … etc. User Segmentation: Build our core user personas, define and improve customer level segmentation, and define engagement thresholds Market Making Support: Establish betting lines and improve core algorithms Marketing Analysis: Understand marketing cohort behaviours using facebook ads and cohorts Reporting Infrastructure: Create automated dashboards for daily, weekly, and monthly KPIs Real-Time Optimization: Build systems to monitor and optimize … prediction, lifetime value models, and user progression forecasting Fraud Detection: Create automated systems to flag suspicious betting patterns and user behavior Advanced Analytics: A/B testing infrastructure, cohort analysis, and revenue optimization models Market Intelligence: Competitive analysis and market trend identification What We're Looking For Must-Haves 3+ years in mobile gaming, social casino or sportsbook More ❯

business stakeholders. You will define test hypotheses, develop experimental designs, and oversee the implementation of test variations in collaboration with relevant teams. Monitor test performance and analyse results using statistical techniques to identify significant insights and inform decision-making. Act as a contact point for the Test & Learn system and process, offering support to the business. Provide actionable recommendations … based on A/B test findings to improve business outcomes and drive continuous optimisation efforts. Analytics Conduct ad-hoc and planned pieces of analysis using data from several data sources Retrieve data from databases and data warehouses, but also raw data direct from source systems Ability to analyse and visualize data with goal of telling a story, identifying … complex business problems and deliver value for Aldi UK. Use Case Support Provide general administrative, technical, and business partnering support for data science use cases. Conduct comprehensive research and analysis to understand business requirements, data availability, and feasibility of proposed use cases. You will develop detailed use case documentation, including objectives, scope, success criteria, and implementation roadmap. Working closely More ❯

Senior Marketing Data Analyst Role: Senior Marketing Data Analyst Specialism(s): MMM (Marketing Mix Models), Experimentation, Geo-Testing, A/B Testing, SQL, Data Warehouse, Snowflake, Python/R, Statistical Analysis, Stakeholder Engagement, Communication, Presentation Skills Type: Contract, Inside IR35 Location: London (Hybrid) Start: ASAP/Urgent Duration: 6+ Months Pay Rate: TBC – Market Rates Senior Marketing Data … 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 ❯

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 ❯

decisions. Your work will directly support efforts to improve the employer experience, and in turn, help deliver better outcomes for our members. What you’ll do: Produce clear, actionable analysis and reporting—interpreting trends, patterns, and conducting complex statistical analysis on large, multi-source datasets. Contribute to interactive dashboards, slide decks, and data storytelling to communicate employer … drive value for the business. How you’ll do it: You’ll use, build expertise in, and be open to learning a range of analytics tools to produce robust statistical analysis. These include: R, Python, SQL, Power BI, and Google Analytics — alongside incorporating other tools such as large language models (LLMs) into data analysis and narrative building where … a better retirement for millions. The department includes: Analytics – taking data and creating value for the organisation, understanding our customer and our business; doing descriptive, predictive, and prescriptive behavioural analysis and modelling to help Nest make decisions. Data – planning and delivering how we manage high quality data as an enterprise, making it easy for BI, analysis and modelling More ❯

data strategies to support digital marketing and development initiatives. Work closely with clients to understand their business objectives, data requirements, and challenges. Design and oversee data collection, processing, and analysis frameworks. Analyse data from multiple sources (web analytics, CRM systems, social media platforms, etc.) to identify trends, insights, and opportunities. Create detailed and visually compelling reports and dashboards to … preferably within a digital agency or similar environment. Proficiency with analytics tools such as Google Analytics, Adobe Analytics, Contentsquare and data visualisation platforms (e.g., Tableau, Power BI). Strong statistical analysis skills and experience with data processing tools (e.g., SQL, Python, R). Excellent communication and presentation skills, with the ability to convey complex data insights to non More ❯

in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning and statistical modelling. What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will work with … organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Data Scientist, you will be expected to work independently on client engagements, take part in the development More ❯

significant internal investment and is integral to strategic decision-making across the business. In this role, you’ll work with large-scale, complex datasets – both quantitative and qualitative – applying statistical analysis, predictive modelling, and visualisation techniques to support business reporting, stakeholder engagement, and research projects. Why apply? Shape the future – Your insights will influence organisational strategy, thought leadership … Hybrid flexibility – 3 days per week in the York office. What you’ll be doing: Deliver regular and ad hoc reporting to internal and external stakeholders Produce high-quality analysis using statistical programming (R or Python) Work with the Secure Research Service and other datasets to evaluate programmes and audience engagement Develop dashboards and visual reporting tools using … colleagues across the organisation to embed evidence-informed decision-making What we’re looking for: A degree with strong maths/statistics content or 3+ years’ experience in quantitative analysis Proficiency in R or Python Experience using a data visualisation tool (e.g. Power BI, Tableau, etc.) Soft skills: Strong communicator able to explain data insights to non-specialist audiences 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯