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BRIGHTERBOX
,
London, Greater London
Data Analyst
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Job Type: Full-time |
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Salary: £25,000 per annum |
Overview
Company Description This platform provides real-world, real-time consumer insights at an unprecedented scale. They have built a proprietary a unique technology that uses mobile data to interpret on an anonymised basis what groups of consumers do in the real world; where they shop and work, how they travel and when and where they rest. They are a well-funded young company with a very strong client list from a diverse range of sectors including Finance, Out of Home Media Planning, Retail Information and Credit Rating. They’re in the process of rapid growth and anticipate to soon be processing billions of data points per month. Job Description They are seeking candidates who are strong team players, have great communication skills and a strong track record in data analysis, which ideally formed part of their degree. The purpose of this role is to help secure customer commitment in pre-sales phases and to retain and grow business by ensuring customer success. Working alongside the sales and marketing teams you will be at the confluence of engineering, sales, and marketing. You will be deeply involved in the production of data-led reports, POCs and marketing material, and will become the resident expert for customers where it comes to 'how Huq’s data works’ Key Activities: Customer Support: To support Clients who are running a project by providing assistance with creating datasets that meet their requirements To support Clients by providing assistance with best practice techniques for querying data Sales Support: Support the Sales team by providing data analysis to support specific use cases / pitches Communicate the outputs and methodology from analyses to non-technical audiences Marketing Support: To support the Marketing team by providing data analysis to support defined content e.g. white papers Initiate the development of content that showcases the application of our dataset across different customer use-cases Review & Learning: To proactively share information & knowledge across teams Introduce statistical practices to identify trends and obtain the clearest insights from datasets To provide relevant detailed feedback to Product and Data teams to continually improve the platform & proposition Key Skills / Experience: Strong communication & listening skills (both verbal and written) Good foundation of experience in data analysis or data science (e.g. degree) Strong SQL skills, including knowledge of analytical and statistical SQL functions Knowledge of Geographic Information Systems, mapping and visualisation Organised with a strong attention to detail Good team player - ability to collaborate with other members of the Huq team A consultative approach, the ability to listen, understand and solve problems Key Attributes: Self-motivated; self-starter Focused Creative Team player Energetic Fun