51 to 75 of 576 Statistical Analysis Jobs

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 ❯

analysing and interpreting customer data to provide actionable insights that drive business decisions, enhance customer experiences, and improve overall marketing strategies. The role requires a strong understanding of data analysis, customer behaviour, and data visualization, along with the ability to work cross-functionally with marketing, sales, and product teams. The successful applicant will have previous experience with Customer Segmentation … and Analysis, not necessarily from a fashion background. The role sits within a highly successful and profitable fast-growing ecommerce team. Candidates should be prepared to discuss their alignment to the core Kurt Geiger leadership principles of: Love Technology, Work Hard, Be Positive, Know What Good Looks Like, Own Your Own Future, Look For Solutions, Be a Part of … systems, transactional databases, web analytics, etc.) through mParticle and Snowflake our core Customer Data Profile Warehouse. Ensure the accuracy, consistency, and integrity of data used for analysis. Customer Insights & Analysis: Analyse customer data to identify trends, behaviours, and preferences that inform business strategy. Own the Segmentation of the customer base based on demographics, purchase patterns, and behaviour to improve 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 ❯

job poster from Women in Data 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 ❯

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 ❯

Impact: Prioritise initiatives based on commercial value and impact, ensuring data science projects deliver measurable results. What You’ll Bring Essential Expertise Deep knowledge in AI/Machine Learning, Statistical Analysis, and Algorithm Design Strong experience in Data Lifecycle Management, Predictive Analytics, Data Governance, and Cloud Computing Proficient in Programming/Scripting (e.g., Python, R, SQL) and developing … scalable data solutions Skilled in Data Commercialisation, KPI Design, Business Analysis, and Data Model Management Strong understanding of AI Ethics and responsible data use Proven ability to translate complex data into clear business value for non-technical audiences Managerial Capabilities Experience recruiting, coaching, and retaining top data talent Skilled at creating positive, high-performance team cultures Demonstrated success in … United Kingdom 21 hours ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 hour ago Weybridge, England, United Kingdom 2 weeks ago Financial Crime Data Analysis (Assistant Manager) Business Applications/Data Reporting Analyst We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of 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 ❯

requires experience in building Business Intelligence solutions, paired with bringing a hands-on data engineering mentality. We seek individuals that enjoy to collaborate across stakeholders and that bring excellent statistical and analytical abilities to the team. Heavy Bulky & Services is a growing Amazon business, designed to enable Customers to enjoy website browsing, product shopping and delivery experience for our … and interpreting data with Redshift, Oracle, NoSQL etc. - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, 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 ❯

for healthcare environments. Proven experience working with EHR systems and other healthcare technologies. Research Skills Advanced expertise in qualitative research (e.g., interviews, usability testing) and quantitative research (e.g., surveys, statistical analysis). Proficiency in tools such as SPSS, R, Python, or equivalent for data analysis, and Tableau, Power BI, or similar for data visualisation. Experience with user 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 ❯

build our understanding of performance and customers, embedding these learnings into the Category & In-Stock team's day-to-day decision making. Answer complex business questions through detailed quantitative analysis and experimentation, extracting meaningful and actionable insights. Influence both strategic and tactical decision-making in our EU Leadership and Category Management teams through strong communication, and by proactively identifying … data literacy and confidence. You Have: 3-5 years of experience in analytics or data science - preferably in fields related to grocery, trading, supply chain. A strong understanding of statistical analysis and experiment design. Expert skills in SQL/Python, able to write structured and efficient queries on large data sets. Experience with dbt is a strong plus. More ❯

of leading analytics teams in ad tech, programmatic advertising, or marketplace platforms. Strong understanding of supply-side dynamics in the digital advertising ecosystem. Expertise in data modeling, ETL pipelines, statistical analysis, and visualization tools (e.g., Tableau, Power BI). Hands-on experience with SQL, Python, R, or similar languages for data analysis. Familiarity with cloud platforms (e.g., AWS More ❯

regulated services, or government frameworks. Ability to structure insight products that align with DBFO obligations, concessionaire expectations, or national infrastructure KPIs. Advanced Analytical and Technical Proficiency - Strong background in statistical analysis, diagnostic modelling, and the use of analytics to support asset management decisions. Hands-on experience in Python and/or R, SQL database interrogation, data modelling, and More ❯

/D3 preferred. Familiarity with cloud computing and ML platforms – AWS platform required, Dataiku and Snowflake experience preferred. Big Data Technologies (e.g. Spark) preferred Strong knowledge of ML algorithms, statistical analysis techniques, and end-to-end MLOps management. Experience with last-mile data engineering and data governance best practices (DBT preferred), including FAIR principles Core Competencies Proven ability More ❯

Skills Strong SQL skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data visualization and BI tools (e.g., Looker, Power BI, Tableau). Solid More ❯

innovation that is part of the company's DNA. Amazon Seller Services is looking for a Data Scientist to work hands on from concept to delivery on generative AI, statistical analysis, prescriptive and predictive analysis, and machine learning implementation projects. We are looking for a problem solver with strong analytical skills and a solid understanding of statistics … understanding of collecting, assembling, cleaning and setting up disparate data from enterprise systems. Key Job Responsibilities Ability to understand a business problem and the available data and identify what statistical or ML techniques can be applied to answer a business question. Given a business problem, estimate solution feasibility and potential approaches based on available data. Understand what data is … it together. Work with partner teams where needed to facilitate permissions and acquisition of required data. Quickly prototype solutions and build models to test feasibility of solution approach. Build statistical models/ML models, train and test them to drive towards the optimal level of model performance. Improve existing processes with development and implementation of state of the art 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 ❯

data driven decision making. Another key aspect of the job is to unearth insights from data to help the operations team in driving process excellence. This position requires excellent statistical knowledge, superior analytical abilities, good knowledge of business intelligence solutions and exposure to efficient data engineering practices. The BIE will also be a good stakeholder manager as he/… NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Experience with scripting language (e.g., Python, Java, or R) - Master's degree, or Advanced technical degree - Knowledge of data modeling and data pipeline … design - Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region 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 ❯

workflow, improve claims management and support better customer experiences. We also provide a fraud detection service across multiple perils and lines of business. Using intel processing, real-time fraud analysis and image forensics we help detect fraud at every stage of the claim and manage cases more effectively. Role Purpose Verisk are looking for a Data Scientist to support … International Analytics Team is a dynamic and exciting place to work: our projects are extremely varied and include developing supervised machine learning models, unsupervisedclustering type models, language modelling, network analysis and a variety of other statistical analysis methods. The successful candidate(s) will be at an early stage in their career.You will have the opportunity to play … for claims and underwriting Support a high-performance collaborative culture. Participate in peer-review with colleagues where appropriate to learn, teach, and ultimately, produce high quality results. Execute data analysis and exploratory analysis (project design, processing of and cleaning of data, merging/joining disparate data sources, feature engineering, performing analyses and communicating results). Produce models using More ❯

through data-driven insights. Key job responsibilities For this role we are looking for someone who can: Independently design and lead quant-focused UX research projects (survey design, implementation, statistical analysis, quant usability, etc.) Triangulate and synthesize survey insights with engagement metrics, live experiment metrics, user logs, and qualitative insights and turn them into compelling narratives and actionable … and teams, managing complex relationships and building consensus when faced with discordant views Own the end-to-end lifecycle of the study design, including survey design, survey programming, fielding, analysis, reporting, and communicating research initiatives, etc. Demonstrable experience in any of the following areas (multiple areas preferred): sample design, conjoint surveys, data wrangling, nonresponse adjustment, survey weighting, causal analysis … including developing and validating survey measures and/or assessments and applying quantitative methods to business and industry settings Proficiency in experimental and quasi-experimental methods Experience with data analysis package (R, SAS, Matlab, SPSS, etc.) Demonstrated mastery of statistical modeling and hypothesis testing Strong skill with R, Python, or similar languages Proficiency with SQL and data visualization 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 ❯

little bit about our team: The Data & Insight team work with the Frontline & Catalogue labels, Commercial & Finance teams on: track/artist performance and strategy, partner/competitor performance analysis, market trends, risks & opportunities. Sometimes as part of a team, sometimes solo but always delivering timely, clear and actionable insight and recommendations. Your role: You are a music lover … science work streams, guide junior team members, and help shape our data strategy. Here you'll get to: • Pro-actively support the business by gathering data and, using advanced statistical techniques, communicate key insights that lead to strategic change. • Anticipate stakeholder needs, developing tools and frameworks to provide data-driven insight and solutions to the business, particularly collaborating with … the creator, paid media, and audience teams. • Apply sophisticated statistical and machine learning techniques to large, complex datasets to uncover patterns, trends, and predictive insights. • Champion the creation of compelling and intuitive data visualisations to effectively communicate complex insights to both technical and non-technical stakeholders, including senior leadership. • Ensure data accuracy, consistency, and governance by collaborating closely with More ❯

analytics or data engineering role Background in data analytics, proficient in SQL or Python Pandas Experience with data visualization tools, such as Tableau, GGplot, Keynote etc Fundamental understanding of statistical analysis, forecasting and modeling Preferred Qualifications Experience in coding for automation (e.g. Scala, Python, Java etc.) Familiarity with writing data pipelines using one or more big data technologies More ❯