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| Job Location | Cardiff |
| Education | Not Mentioned |
| Salary | 45,000 per annum |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Permanent , full-time |
Senior Data AnalystHybrid role, working from home with once weekly travel to our Cardiff office£45,000 per annum + car allowance + benefitsAutomotive is an increasingly data-driven industry; our multiple touch points across the life of a vehicle supported by considerable investment in data quality, data warehousing and analysis, give BCA and our customers a genuine advantage in everythingfrom smart transport solutions to transactional margins. We are looking for a Senior Data Analyst to join our AutosOnShow team due to an exciting period of growth.AutosOnShow (AoS) provide video and imagery solutions for the automotive industry. The solutions are revolutionary, easy to use and affordable for car dealers and automotive companies to get consistent images and vehicle videos on their website in minutes!The easy-to-use mobile app enables users to capture a perfect video walk around of every vehicle, complete with professional and consistent images. We provide a complete solution for sales, service and turntables. One supplier, one Platform!As a Senior Data Analyst, you will be a key part of the BCA AoS Business Unit. You will be part of centralised Decision Intelligences Analysis & Insights sub-team, working collaboratively with community of other subject matter expert/data analysts, sharingbest practices, whilst seconded to support AoS Analytics & Insights needs. You will be responsible for carrying out structured data analysis & creating self-serve advanced analytics tools (historic trends & embedded ML models, where applicable).Current AoS analytics estate is manual, using basic SQL to extract data & basic viz. using spreadsheets. This role will commence with taking on these manual activities & take AoS on a journey towards advanced analytics solutions using embedded ML using R& Python scripts on Power BI. You will be supported by other central shared teams like Data warehouse, Data Science, Data Platform and Data Partnerships, who provide common analysis framework and standards to ensure that any analysis produced is consistentacross analysis teams.Our policy is to employ the best qualified people and provide equal opportunity for the advancement of employees including promotion and training and not to discriminate against any person because of gender, race, ethnicity, age, sexual orientation,religion, belief or disability.