data to extract impactful insights Analyse vast amounts of data from across various areas of the business, finding trends through deep dive analytics and statisticalmodelling Use data modelling to predict trends and provide insights on future trends and company projects Focus on customer insights and understanding … your interest by sending your CV to Gerard Matthews via the apply link on this page. Data Analyst, Data Analytics, SAS, Python, R, Data Modelling, Google Analytics, Adobe Analytics, Coremetrics, GA, AA, Clustering, Propensity Modelling, Segmentation, CRM, CRM Analytics, Marketing Analyst, Insight Analyst, Growth Analyst, Customer Insights more »
Stockport, Greater Manchester, North West, United Kingdom Hybrid / WFH Options
NielsenIQ
in a clear, consistent manner Full proficiency in PowerPoint & Excel (medium) English: Fluent, written, and spoken Preferable: knowledge of advanced statistics (data mining; predictive statistical models; multivariate analysis, data processing) WHAT DO WE OFFER? Besides an attractive salary & compensation package, NIQ offers flexible working hours and working from home more »
Manchester, Greater Manchester, United Kingdom Hybrid / WFH Options
AutoTrader UK
identify opportunities to offer training to the broader business to help those in other roles improve their understanding of analytics skills such as data modelling or statistics. You will encourage Data Analysts to practice their presentation skills and raise awareness of analytics in progress showcases.For your own development goals … making decisions and products led by science.Experience orchestrating projects and roadmaps in agile cross-functional teams.Expertise in the many facets of data analytics, particularly statistical inference and modelling, data modelling, programming (e.g. Python, R), storytelling and critical thinking.Familiarity with data science methods, such as machine learning.Confidence developing more »
environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize more »
environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize more »
funding, they're now looking at scaling their team as their client base and products expand. **Responsibilities:** - Analyze complex datasets using advanced analytical and statistical methods to uncover trends, patterns, and relationships. - Develop and deploy machine learning models for predictive and prescriptive analysis. - Create algorithms and statistical models more »
