HyperFinity
Rachel Goodyear has a diverse work experience spanning across different sectors. Rachel'smost recent role is as a Senior Analytics Engineer at HyperFinity, where they started in 2023. Before that, they worked as an Analytics Consultant at the same company from 2021 to 2023. Prior to HyperFinity, Rachel worked at Golley Slater as a Business Analyst from 2019 to 2021, where they provided data analysis and developed Power BI capability. Rachel also gained experience as a Planning and Data Analyst at the University of Leeds from 2017 to 2019, where they worked on financial forecasting and reporting. Rachel started their career as a Trainee Medical Physicist at Leeds Teaching Hospitals NHS Trust from 2015 to 2017. Rachel also pursued a PhD in partnership with the University of Sheffield and the University of Leeds from 2011 to 2015. Additionally, Rachel worked as a Laboratory Demonstrator at the University of Leeds from 2014 to 2015.
Rachel Goodyear earned their Bachelor of Science (BSc) degree in Physics from the University of Leeds, where they attended from 2008 to 2011. Rachel later pursued a Doctor of Philosophy (PhD) at The University of Sheffield, specializing in Tissue Engineering, from 2012 to 2015.
HyperFinity
We use decision intelligence to help retailers sell the right products, to the right people, for the right price. Our HyperFinity SaaS product democratises the use of advanced analytics to generate deep customer insight and to make data driven decisions across key business areas. At the core of our product is a super-fast, cloud-based architecture that enables ETL, feature engineering and machine learning all in one place. Our analytics engine performs affinity analytics and attribution at extreme speed to create and understand customer need states, using anonymised, multi-channel customer data. It predicts the impact of decisions, such as where demand will be transferred to if a product is removed from or substituted in a range or what is the optimal combination of products for individual stores, based on the customers who shop there. And our easy to use, highly visual UI gives non-technical people access to powerful insights from data science, which help them make improved, customer led decisions. Our solutions are backed by our own knowledge and experience gained in leading consumer businesses, such as Asda, Walmart and Sky, plus innovative data, analytics, and technology companies. We offer expert and pragmatic guidance on applying our products, not leaving you to figure it out on your own. In parallel with our SaaS product, we deliver expert retail data science and data strategy consulting on either a project or retained basis.