1 to 25 of 66 Remote Statistical Analysis Jobs

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 ❯

federal program in El Paso, TX. We are seeking a highly skilled Senior Data Scientist with specialized expertise in Artificial Intelligence (AI) and Machine Learning (ML) to support the analysis and interpretation of large-scale datasets. This role is vital for leveraging our law enforcement client's data holdings to develop innovative insights, predictive models, and business solutions. The … ideal candidate will have experience working with unstructured data, statistical modeling, and advanced data analytics to drive decision-making and enhance operational effectiveness. Develop and support AI/ML models for data analysis, focusing on the accuracy, authenticity, expectancy, timeliness, relevancy, and viability of intelligence data. Conduct advanced data integration and statistical analysis to identify patterns … trends, and intelligence gaps. Innovate by deriving investigative, statistical, and predictive value from our clients extensive data sources. Prepare, clean, and manage big data sets, design data models, and develop robust databases to support AI-driven business solutions. Tackle complex technical challenges using state-of-the-art techniques and industry knowledge. Deploy, validate, and manage various types of data 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

positions. Candidates with backgrounds in model development for credit risk, marketing, or everyday banking are preferred. As a dedicated Data Scientist Senior you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners … delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, growing the company's library of internal packages and applications. Works with model risk management to validate the results and stability of models … code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues More ❯

positions. Candidates with backgrounds in model development for credit risk, marketing, or everyday banking are preferred. As a dedicated Data Scientist Senior you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners … delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, growing the company's library of internal packages and applications. Works with model risk management to validate the results and stability of models … code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues 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 ❯

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 ❯

Customer First' ethos, creating unforgettable package holidays and flights. We couldn't do it without our wonderful people. What you'll be doing: You'll use machine learning and statistical modelling tools to generate customer, marketing, and commercial insights, which in turn will inform marketing strategy, pricing & product development for the business. You'll identify efficiencies in the use … and models to understand how changes in metrics in one area of the business impact other areas. What you'll have: Experience in using R, Python, or a similar statistical analysis package. Strong SQL skills and the ability to create clear data visualisations in tools such as Tableau or Power BI. Experience in developing and deploying predictive models More ❯

from various sources to identify trends and insights. Collaborate with departments, including Sales, Marketing, Product, Engineering, and Client Success, to understand their data needs and provide tailored insights. Provide statistical analysis to validate experiment results and recommend next steps. Ensure data integrity by regularly auditing and maintaining data cleanliness within systems like CRMs and marketing platforms. Partner with … activation rates, and drop-off points. Qualifications A Bachelor's Degree in Data Analytics, Statistics, Computer Science, or a related field. Minimum of 4 years experience in a data analysis or similar role, preferably within a fast-paced SaaS or technology environment. (Scaleup experience is a plus) Proficiency in data analysis tools and languages, such as Python, R … or similar for advanced data manipulation and analysis. Have an understanding of the data pipeline, with a familiarity of ETL processes to ensure clean, usable data. Familiarity with statistical analysis techniques e.g., regression, hypothesis testing. Experience working with large datasets and deriving actionable insights. Proficient in Lucene query syntax for querying and analysing data in OpenSearch. Strong SQL More ❯

understanding of our content and data, improving how we manage, process and use that data in support of PLOS's goals. You will be tasked with the large-scale analysis of our broad and varied collection of scholarly content, which includes research articles and associated data sets, and line of business data and information. This will require working with … structured and unstructured data, a large corpus of scholarly articles, using programmatic techniques such as statistical analysis, natural language processing, information retrieval, and machine learning. You will also work with the rest of the team to turn your insights and software prototypes into production services that improve the utility of this data for both our end users and … internal stakeholders. Responsibilities Create and use machine learning models, statistical analysis, natural language processing to improve scientific content workflows, enhance discoverability, and support Open Science initiatives. Collect, clean, and analyze large datasets of scientific content and related information from various sources, ensuring data quality and integrity. Build and test predictive models and machine learning algorithms for tasks such 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 ❯

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 ❯

analysing large data sets Experience with analytics tools (Google Analytics, Content square, Firebase or Appsflyer) Experience with data visualisation tools (Tableau, Looker) Proficiency in A/B testing, cohort analysis, and statistical analysis. Excellent communication skills, translating complex data into actionable insights. Experience in implementing tracking via GTM in Google Analytics 💬 The vibe This company genuinely cares about More ❯

analysing large data sets Experience with analytics tools (Google Analytics, Content square, Firebase or Appsflyer) Experience with data visualisation tools (Tableau, Looker) Proficiency in A/B testing, cohort analysis, and statistical analysis. Excellent communication skills, translating complex data into actionable insights. Experience in implementing tracking via GTM in Google Analytics 💬 The vibe This company genuinely cares about More ❯

lead efforts to position data as a key organizational asset-ensuring strong data governance, interoperability, accessibility, and trust in alignment with Mozilla's values and lean data principles. Analytics & Analysis (50%) Work with data stored in AWS (e.g., Athena, Redshift, S3) to prepare high-quality, privacy-conscious datasets and visualization. Write and maintain SQL queries and data transformations to … support reporting and analysis workflows. Perform statistical analysis to understand underlying patterns and anomalies in data and communicate insights effectively. Respond to ad-hoc requests from business users for data analysis as needed. Collaboration and Enablement (30%) Collaborate with teams across Mozilla Foundation to design and build interactive dashboards and reports in Power BI to help More ❯

meaningful data to be used in a variety of projects. Design APIs, utilizing third-party packages, libraries and datasets and deploy in a fast-paced environment. Evaluate and create statistical analytics to be used by all business and marketing teams. The successful candidate will have: Honours Degree in Computing, Mathematics or equivalent (minimum 2:1), and a Masters or … Excellent skills in MS Office (particularly Excel) Experience in some of the following would be beneficial: ETL/TEL solutions The Google family of APIs The UK insurance sector Statistical analysis methods LightGBM, XGBoost, CatBoost or similar python-focused ML libraries Personal Attributes Good interpersonal and influencing skills Attentive to detail - getting it 'right first time' Self-motivated More ❯

the retail, financial, property, leisure and food & beverage industries, across the world. We build innovative solutions to support our clients to make better decisions combining various forecasting methods and statistical models, GIS and web tools to create bespoke solutions. We are always looking to do things better. We have fun and value every member of our team. Are you … lead projects on your own. Your qualifications and experience You are a pro at using SQL for data manipulation (at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL) Modelling & Statistical Analysis experience, ideally customer related Coding skills in at least one of Python, R, Scala, C, Java or JS Track record of using data manipulation and machine learning …/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures Modelling & Statistical Analysis experience, ideally customer related A university degree - numbers based, Computer Science or Geography Relevant industry sector knowledge ideal but not essential A strong communicator with the ability More ❯

further develop and enhance our Career business, which specializes in compensation and analytical solutions but may stretch across many subject matter domains. We will count on you to: Data Analysis and Interpretation : Utilize advanced analytical techniques to interpret compensation survey data, identifying trends and insights that inform strategic decision-making. R Programming and excel Proficiency : Develop and implement R … code for data manipulation, statistical analysis, and visualization to support compensation benchmarking initiatives. Utilize advanced capabilities of Excel to further develop and test our approaches. Collaboration with Data Scientists : Work closely with data scientists to design and execute analytical models that enhance the understanding of compensation trends and market positioning. Business Requirements Gathering : Engage with stakeholders to gather … stay informed about industry trends, compensation practices, and emerging analytical techniques relevant to compensation benchmarking. Build our methods : Provide discovery, validation, and knowledge sharing for best practices in data analysis, R programming, and compensation benchmarking. Continuous Improvement : Identify opportunities for process improvements within the data analysis workflow, leveraging technology and innovative approaches to enhance efficiency and effectiveness. What More ❯