Due to exciting European growth, we now have opportunities for
Data Analyst
professionals to join our growing team. Part of the global leader Bain & Company, Proxima is a well-established and leading management consulting firm specialising in procurement currently with offices in London, Leeds, Cardiff, and Chicago; with new European offices opening shortly. Hybrid working is the norm with time spent at client site, home as well as your local office. Responsibilities of the Data Analyst Support the analysis of commercial bids as part of a procurement tender process Analyse spend data Utilise client data to identify cost-saving and optimisation opportunities Assist consultants in identifying cost-saving and optimisation opportunities in procurement Collate supplier responses through scenario-based tools and scorecards for consultants to compare cost-savings available Create data visualisation tools to support clients, automate and solve business problems and processes Other pertinent data activities, such as data collation and transformation, creation of data visualisation for PowerPoint decks, and optimisation of files Provide basic Excel training to new joiners across the business Criteria for the Data Analyst position Must have a minimum 6 months experience in a similar role Knowledge of Excel and comfortable with Pivot Tables, Charts, Conditional Formatting and advanced formulae such as Lookups and Conditional Formulae Strong problem solving and analytical skills Strong attention to detail Creative flare and ability to visualise data Work well under pressure and manage ambiguous requirements Confident communication skills Skilled at organisation and managing several tasks at once Willingness to take constructive feedback and learn Adaptable to changing business demands Accountable and take pride in their output Benefits of becoming a Data Analyst at Proxima Hybrid working model Career progression Mentorship program Continuous training Great company culture and more! If you believe yourself to be a great fit for this Data Analyst role, please apply!
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Data Analyst
professionals to join our growing team. Part of the global leader Bain & Company, Proxima is a well-established and leading management consulting firm specialising in procurement currently with offices in London, Leeds, Cardiff, and Chicago; with new European offices opening shortly. Hybrid working is the norm with time spent at client site, home as well as your local office. Responsibilities of the Data Analyst Support the analysis of commercial bids as part of a procurement tender process Analyse spend data Utilise client data to identify cost-saving and optimisation opportunities Assist consultants in identifying cost-saving and optimisation opportunities in procurement Collate supplier responses through scenario-based tools and scorecards for consultants to compare cost-savings available Create data visualisation tools to support clients, automate and solve business problems and processes Other pertinent data activities, such as data collation and transformation, creation of data visualisation for PowerPoint decks, and optimisation of files Provide basic Excel training to new joiners across the business Criteria for the Data Analyst position Must have a minimum 6 months experience in a similar role Knowledge of Excel and comfortable with Pivot Tables, Charts, Conditional Formatting and advanced formulae such as Lookups and Conditional Formulae Strong problem solving and analytical skills Strong attention to detail Creative flare and ability to visualise data Work well under pressure and manage ambiguous requirements Confident communication skills Skilled at organisation and managing several tasks at once Willingness to take constructive feedback and learn Adaptable to changing business demands Accountable and take pride in their output Benefits of becoming a Data Analyst at Proxima Hybrid working model Career progression Mentorship program Continuous training Great company culture and more! If you believe yourself to be a great fit for this Data Analyst role, please apply!
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