serious commercial experience working in a data analytics role. What technical skills are required? wrangling mastery - having the data shaping skills needed to deliver analysis across relational and non-relational data structures, working with structured, semi-structured and unstructured formats. proficiency - very comfortable employing statistical techniques to solve commercial … problems, including, hypothesis testing, feature transformations, dimensionality reduction, correlation analysis, regressionanalysis (multiple linear and logistic), time series analysis and Bayesian methods. skills - adept in Python and its core data/analytics libraries (including in relation to working with Amazon Dynamo DB), alongside SQL, HiveQL, Scala. more »
london (clapham), south east england, United Kingdom
Hush
a critical role in our small Data Engineering team of 2, you’ll have the opportunity to challenge the status quo, preparing ad-hoc analysis, supporting business users in self-serve operations mode and actively championing data-science use and robust data analysis across the organisation. THE RESPONSIBILITIES … data-driven decisions. Co-own customer data and insights in collaboration with the Marketing teams. Apply advanced statistical and machine learning techniques, including clustering, regressionanalysis, and predictive modelling, to extract deeper insights from customer data. Build predictive models to forecast customer behaviour, including sales trends, churn prediction … and lifetime value projections. Utilise techniques like customer lifetime value (CLV) modelling and cohort analysis to provide a comprehensive view of customer behaviour. Champion a data-driven culture. THE PERSON Strong communication skills; able to articulate complex technical topics for non-technical colleagues to understand and report on data more »
bolstering revenue from existing contracts and facilitating the pursuit of fresh business ventures. Leverage historical records and descriptions of engineering tasks and equipment, employing regressionanalysis or alternative estimating techniques to formulate parametric evaluations and cost analysis, or to generate estimates encompassing labour, materials, and other miscellaneous more »
and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine more »
and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine more »
of the customer data sources. A collaborative leadership style with a wide perspective and proven ability to influence at senior levels. Ability to articulate analysis for a non-technical audience with clarity and in an engaging way. Demonstrable analytical problem-solving capabilities. Excellent interpersonal, communication, and influencing skills coupled … Exposure to analysing large data volumes. Capable and experienced in techniques to deduce from a data set the influences from different attributes (e.g., multiple regression, multivariate analysis of variance, discriminant analysis). more »
