Alice Shackley

Data Insight Analyst at HyperFinity

Alice Shackley has a diverse work experience spanning various roles and industries. Alice started their career as a Tutor at The Tutor Trust, where they enjoyed working with children and developed engaging teaching methods. Alice then worked at Maples and Calder, first as an Audit Confirmations Assistant, where they had meticulous responsibilities in managing client information, and later as a Collections Team Assistant, where they excelled in contacting clients and meeting deadlines. Alice then joined Leeds University Union as a Digital Marketing Manager, where they established and managed a new digital micro-agency, gaining expertise in SEO, analytics, PPC, social media, and more. Alice further expanded their skills at KPMG as an Information Risk Management Graduate Analyst, contributing to risk management strategies. Alice later joined HM Revenue & Customs as a Data Analyst, utilizing their analytical skills before moving to their current role as a Data Insight Analyst at HyperFinity, where they help make intelligent decisions accessible to retailers and brands.

Alice Shackley pursued their Bachelor of Science degree in Mathematics (INT) from the University of Leeds from 2013 to 2017.

Location

Leeds, United Kingdom

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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.


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Employees

11-50

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